Participant Hub - Strengthening a high-trust digital platform for real-world use in research in NZ
Assertio helped a high-trust organisation strengthen a participant-facing digital platform with stronger security foundations, more disciplined delivery, and greater confidence in production readiness.
Services delivered
Assertio supported the engagement through cloud environment implementation, infrastructure-as-code alignment, embedded security and compliance controls, performance and readiness testing, and delivery assurance focused on reducing operational risk ahead of go-live.
The challenge
The research organisation needed more than a functional interface. It needed a digital experience that could support important participant interactions in a secure, reliable, and operationally credible way. In this kind of environment, delivery quality directly shapes trust, continuity, and confidence in the service.
Assertio’s contribution
Assertio helped strengthen the platform where it mattered most: the underlying delivery foundations. The work focused on improving repeatability, embedding practical controls into the platform environment, and validating how the system would behave under realistic usage conditions. This created a more credible and controlled path to production.
Outcomes
The engagement resulted in stronger delivery foundations, improved resilience, and clearer visibility into readiness before release. For the client, that meant stronger confidence at go-live and a more dependable platform for live use. For Assertio, it demonstrated the value of combining cloud delivery, embedded controls, and practical validation in environments where trust and operational credibility matter.
Why this matters
Many organisations do not simply need a partner that can build. They need a partner that can help them launch with confidence. This engagement shows Assertio’s ability to support secure, governed, production-ready delivery in settings where reliability and accountability matter.
Assertio helped a high-trust organisation strengthen a participant-facing digital platform with stronger security foundations, more disciplined delivery, and greater confidence in production readiness.
Services delivered
Assertio supported the engagement through cloud environment implementation, infrastructure-as-code alignment, embedded security and compliance controls, performance and readiness testing, and delivery assurance focused on reducing operational risk ahead of go-live.
The challenge
The research organisation needed more than a functional interface. It needed a digital experience that could support important participant interactions in a secure, reliable, and operationally credible way. In this kind of environment, delivery quality directly shapes trust, continuity, and confidence in the service.
Assertio’s contribution
Assertio helped strengthen the platform where it mattered most: the underlying delivery foundations. The work focused on improving repeatability, embedding practical controls into the platform environment, and validating how the system would behave under realistic usage conditions. This created a more credible and controlled path to production.
Outcomes
The engagement resulted in stronger delivery foundations, improved resilience, and clearer visibility into readiness before release. For the client, that meant stronger confidence at go-live and a more dependable platform for live use. For Assertio, it demonstrated the value of combining cloud delivery, embedded controls, and practical validation in environments where trust and operational credibility matter.
Why this matters
Many organisations do not simply need a partner that can build. They need a partner that can help them launch with confidence. This engagement shows Assertio’s ability to support secure, governed, production-ready delivery in settings where reliability and accountability matter.
Enterprise Transition and Application Impact Programme
Assertio supported an enterprise transition programme focused on integrating business units into a larger organisation with a clearer view of where they would land, how their applications would be absorbed, and what technology changes would be needed to support a stable transition.
Services delivered
Business-unit landing analysis, application portfolio assessment, value-stream mapping, transition planning, modernization input, contract novation guidance, and risk analysis focused on continuity, supportability, and longer-term technology fit.
The challenge
The organisation was absorbing business units with their own applications, support models, dependencies, and operational risks, creating important questions around application ownership, cloud impact, support continuity, modernization priorities, cybersecurity exposure, and knowledge loss.
Assertio’s contribution
Assertio helped structure the transition by assessing where business units and applications would land, how the application landscape would be affected, and what that meant for support, modernization, and risk. This was translated into a practical transition plan covering application impacts, resource augmentation, and phased support.
Outcomes
The engagement created a clearer basis for integration, application decisions, support planning, and risk mitigation, giving the client a more credible path to absorbing change without losing sight of continuity, fit, or technology debt.
Why this matters
This engagement shows Assertio’s ability to help organisations approach enterprise integration with a clearer view of what gets impacted, what needs to be modernised, and what needs to happen next.
Assertio supported an enterprise transition programme focused on integrating business units into a larger organisation with a clearer view of where they would land, how their applications would be absorbed, and what technology changes would be needed to support a stable transition.
Services delivered
Business-unit landing analysis, application portfolio assessment, value-stream mapping, transition planning, modernization input, contract novation guidance, and risk analysis focused on continuity, supportability, and longer-term technology fit.
The challenge
The organisation was absorbing business units with their own applications, support models, dependencies, and operational risks, creating important questions around application ownership, cloud impact, support continuity, modernization priorities, cybersecurity exposure, and knowledge loss.
Assertio’s contribution
Assertio helped structure the transition by assessing where business units and applications would land, how the application landscape would be affected, and what that meant for support, modernization, and risk. This was translated into a practical transition plan covering application impacts, resource augmentation, and phased support.
Outcomes
The engagement created a clearer basis for integration, application decisions, support planning, and risk mitigation, giving the client a more credible path to absorbing change without losing sight of continuity, fit, or technology debt.
Why this matters
This engagement shows Assertio’s ability to help organisations approach enterprise integration with a clearer view of what gets impacted, what needs to be modernised, and what needs to happen next.
LearnGuard AI - Designing an AI tutor with stronger security, compliance guardrails, and regional control
Assertio supported a learning-focused organisation in shaping an AI tutor designed to improve access to guidance while putting stronger security, compliance guardrails, and deployment decisions at the centre of the solution.
Services delivered
Assertio supported the engagement through AI tutor design, security and compliance guardrail planning in the cloud, deployment-region assessment, testing and review coordination, and launch preparation focused on creating a practical and trusted user-facing product.
The challenge
The organisation needed more than a useful AI assistant. It needed a solution that could support learners in a way that was responsible, controlled, and aligned with organisational expectations around data handling, governance, and operational trust.
Assertio’s contribution
Assertio helped shape the AI tutor with trust and control built in from the outset. The work focused on defining practical security and compliance guardrails, supporting decisions about the most appropriate deployment region, and creating a more credible path to launch for a learner-facing AI service.
Outcomes
The engagement created a stronger foundation for introducing the AI tutor with greater confidence. For the client, that meant clearer guardrails around deployment and use, stronger assurance around security and compliance considerations, and a more considered regional deployment approach. For Assertio, it demonstrated the value of combining practical AI delivery with governance, control, and trust-focused decision-making.
Why this matters
Many organisations are not just asking whether AI can help. They are asking how it can be introduced safely, responsibly, and in a way that stands up to scrutiny. This engagement shows Assertio’s ability to help clients apply AI with the right balance of user value, governance, and operational confidence.
Assertio supported a learning-focused organisation in shaping an AI tutor designed to improve access to guidance while putting stronger security, compliance guardrails, and deployment decisions at the centre of the solution.
Services delivered
Assertio supported the engagement through AI tutor design, security and compliance guardrail planning in the cloud, deployment-region assessment, testing and review coordination, and launch preparation focused on creating a practical and trusted user-facing product.
The challenge
The organisation needed more than a useful AI assistant. It needed a solution that could support learners in a way that was responsible, controlled, and aligned with organisational expectations around data handling, governance, and operational trust.
Assertio’s contribution
Assertio helped shape the AI tutor with trust and control built in from the outset. The work focused on defining practical security and compliance guardrails, supporting decisions about the most appropriate deployment region, and creating a more credible path to launch for a learner-facing AI service.
Outcomes
The engagement created a stronger foundation for introducing the AI tutor with greater confidence. For the client, that meant clearer guardrails around deployment and use, stronger assurance around security and compliance considerations, and a more considered regional deployment approach. For Assertio, it demonstrated the value of combining practical AI delivery with governance, control, and trust-focused decision-making.
Why this matters
Many organisations are not just asking whether AI can help. They are asking how it can be introduced safely, responsibly, and in a way that stands up to scrutiny. This engagement shows Assertio’s ability to help clients apply AI with the right balance of user value, governance, and operational confidence.
Assertio Resolve - Reducing support noise while keeping humans in control
Assertio Resolve is Assertio’s GenAI-powered solution for customer support operations, designed to reduce repetitive support demand, improve answer consistency, and keep human teams focused on higher-value issues. It is built to work from approved knowledge sources, support multiple channels, and apply guardrails that make AI adoption more controlled and operationally credible.
Services delivered
Assertio Resolve brings together approved knowledge-base alignment, customer self-service, agent-assist capability, response automation across email, chat, and voice, confidence-based escalation, and governance-led deployment controls designed to support safer operational scale.
The challenge
As support operations grow, organisations often face rising volumes of repeat, low-complexity requests, fragmented knowledge across tools and teams, and increasing pressure on service teams. The result is slower responses, inconsistent answers, and human effort tied up in lower-value work. Many organisations want the benefits of AI in support, but need it introduced in a way that remains controlled, traceable, and aligned with operational expectations.
Assertio’s approach
Assertio Resolve is designed to be AI-first where appropriate and human-led where confidence is low or risk is high. The product uses approved knowledge bases, supports responses across email, chat, and voice, and applies practical guardrails including confidence thresholds, topic exclusions, sentiment detection, and full audit trails. It is underpinned by Assertio’s codified governance and automation approach, helping ensure architecture is enforced consistently, security and compliance are built in, and changes remain controlled.
Intended value
Resolve is designed to help organisations deflect common support requests, improve consistency across queues, accelerate lower-risk responses, and give agents faster access to better answers. It is also intended to provide a more scalable path to support transformation without giving up human oversight or governance discipline. The product materials also outline a low-risk pilot model focused on high-volume queues and low-risk contact reasons, with measures such as deflection rate, time to first response, and escalation and reopen rate.
Why this matters
Many organisations do not need uncontrolled AI layered onto already noisy support environments. They need a practical way to reduce repetitive demand, improve service consistency, and scale support safely. Assertio Resolve is designed to meet that need with a more governed, compliance-ready approach to GenAI in customer support operations.
Assertio Resolve is Assertio’s GenAI-powered solution for customer support operations, designed to reduce repetitive support demand, improve answer consistency, and keep human teams focused on higher-value issues. It is built to work from approved knowledge sources, support multiple channels, and apply guardrails that make AI adoption more controlled and operationally credible.
Services delivered
Assertio Resolve brings together approved knowledge-base alignment, customer self-service, agent-assist capability, response automation across email, chat, and voice, confidence-based escalation, and governance-led deployment controls designed to support safer operational scale.
The challenge
As support operations grow, organisations often face rising volumes of repeat, low-complexity requests, fragmented knowledge across tools and teams, and increasing pressure on service teams. The result is slower responses, inconsistent answers, and human effort tied up in lower-value work. Many organisations want the benefits of AI in support, but need it introduced in a way that remains controlled, traceable, and aligned with operational expectations.
Assertio’s approach
Assertio Resolve is designed to be AI-first where appropriate and human-led where confidence is low or risk is high. The product uses approved knowledge bases, supports responses across email, chat, and voice, and applies practical guardrails including confidence thresholds, topic exclusions, sentiment detection, and full audit trails. It is underpinned by Assertio’s codified governance and automation approach, helping ensure architecture is enforced consistently, security and compliance are built in, and changes remain controlled.
Intended value
Resolve is designed to help organisations deflect common support requests, improve consistency across queues, accelerate lower-risk responses, and give agents faster access to better answers. It is also intended to provide a more scalable path to support transformation without giving up human oversight or governance discipline. The product materials also outline a low-risk pilot model focused on high-volume queues and low-risk contact reasons, with measures such as deflection rate, time to first response, and escalation and reopen rate.
Why this matters
Many organisations do not need uncontrolled AI layered onto already noisy support environments. They need a practical way to reduce repetitive demand, improve service consistency, and scale support safely. Assertio Resolve is designed to meet that need with a more governed, compliance-ready approach to GenAI in customer support operations.
Secure Research Data Platform - Strengthening a high-trust research platform for secure data access and long-term value
Assertio supported a major New Zealand research initiative in strengthening a secure hybrid-cloud platform for collecting, consolidating, and enabling access to sensitive longitudinal data.
Services delivered
Assertio supported the engagement through hybrid-cloud implementation, secure access design, platform integration, governed data workflow support, and delivery assurance focused on creating a scalable and trusted research environment.
The challenge
The organisation needed more than infrastructure. It needed a secure and usable platform that could support researchers, protect participants, and make complex longitudinal data easier to access and work with across multiple environments.
Assertio’s contribution
Assertio helped strengthen the platform where it mattered most: secure access, integrated delivery, and scalable architecture. The work supported a more modern environment for data collection, storage, dissemination, and analysis while reinforcing governance and operational trust.
Outcomes
The engagement contributed to stronger platform foundations, improved research usability, and a more credible path to secure data access at scale. For the client, that meant better support for research and insight generation. For Assertio, it demonstrated the value of combining cloud delivery, governed access, and practical platform design in high-trust settings.
Why this matters
This engagement shows Assertio’s ability to support secure, scalable, production-ready platforms in environments where data sensitivity, research value, and operational confidence all matter.
Assertio supported a major New Zealand research initiative in strengthening a secure hybrid-cloud platform for collecting, consolidating, and enabling access to sensitive longitudinal data.
Services delivered
Assertio supported the engagement through hybrid-cloud implementation, secure access design, platform integration, governed data workflow support, and delivery assurance focused on creating a scalable and trusted research environment.
The challenge
The organisation needed more than infrastructure. It needed a secure and usable platform that could support researchers, protect participants, and make complex longitudinal data easier to access and work with across multiple environments.
Assertio’s contribution
Assertio helped strengthen the platform where it mattered most: secure access, integrated delivery, and scalable architecture. The work supported a more modern environment for data collection, storage, dissemination, and analysis while reinforcing governance and operational trust.
Outcomes
The engagement contributed to stronger platform foundations, improved research usability, and a more credible path to secure data access at scale. For the client, that meant better support for research and insight generation. For Assertio, it demonstrated the value of combining cloud delivery, governed access, and practical platform design in high-trust settings.
Why this matters
This engagement shows Assertio’s ability to support secure, scalable, production-ready platforms in environments where data sensitivity, research value, and operational confidence all matter.
Workforce Learning Platform - Building a secure digital campus for professional learning at scale
Assertio supported a tertiary-sector organisation in delivering a secure digital campus designed to support professional learning for workforce audiences in New Zealand and internationally, combining a modern learning experience with integrated identity, CRM, analytics, and cloud services.
Services delivered
Assertio supported the engagement through learning platform integration, identity and access design, CRM and cloud-service integration, security and threat-protection alignment, analytics enablement, and delivery assurance focused on creating a scalable and user-friendly digital learning environment.
The challenge
The organisation needed more than a learning management system. It needed a digital campus that could support working professionals with a strong user experience, secure access, and the flexibility to scale across diverse learner groups. The platform also needed to bring together multiple best-of-breed technologies in a way that felt seamless for users while supporting operational efficiency, continuous improvement, and future growth.
Assertio’s contribution
Assertio helped shape and operationalise the digital campus as an integrated platform rather than a standalone learning tool. The work focused on bringing together learning management, identity, CRM, cloud services, and reporting in a way that was secure, intuitive, and scalable. A configuration-led approach reduced unnecessary complexity, accelerated delivery, and allowed the platform to evolve quickly in response to user needs and data-driven feedback.
Outcomes
The engagement contributed to a stronger foundation for professional learning delivery at scale. For the client, that meant a more accessible and intuitive platform for learners, better visibility for facilitators, and a more operationally efficient way to deliver digital learning experiences. The platform had close to 15,000 users in its first year, reflecting early adoption and growth. For Assertio, it demonstrated the value of combining secure integration, scalable architecture, and user-focused delivery in a learning environment designed for long-term use.
Why this matters
Many organisations do not just need a learning platform. They need a digital environment that can support people at scale, integrate cleanly with core systems, and continue to evolve as needs change. This engagement shows Assertio’s ability to help clients deliver secure, scalable, and user-centred digital platforms in settings where adoption, trust, and operational effectiveness all matter.
Assertio supported a tertiary-sector organisation in delivering a secure digital campus designed to support professional learning for workforce audiences in New Zealand and internationally, combining a modern learning experience with integrated identity, CRM, analytics, and cloud services.
Services delivered
Assertio supported the engagement through learning platform integration, identity and access design, CRM and cloud-service integration, security and threat-protection alignment, analytics enablement, and delivery assurance focused on creating a scalable and user-friendly digital learning environment.
The challenge
The organisation needed more than a learning management system. It needed a digital campus that could support working professionals with a strong user experience, secure access, and the flexibility to scale across diverse learner groups. The platform also needed to bring together multiple best-of-breed technologies in a way that felt seamless for users while supporting operational efficiency, continuous improvement, and future growth.
Assertio’s contribution
Assertio helped shape and operationalise the digital campus as an integrated platform rather than a standalone learning tool. The work focused on bringing together learning management, identity, CRM, cloud services, and reporting in a way that was secure, intuitive, and scalable. A configuration-led approach reduced unnecessary complexity, accelerated delivery, and allowed the platform to evolve quickly in response to user needs and data-driven feedback.
Outcomes
The engagement contributed to a stronger foundation for professional learning delivery at scale. For the client, that meant a more accessible and intuitive platform for learners, better visibility for facilitators, and a more operationally efficient way to deliver digital learning experiences. The platform had close to 15,000 users in its first year, reflecting early adoption and growth. For Assertio, it demonstrated the value of combining secure integration, scalable architecture, and user-focused delivery in a learning environment designed for long-term use.
Why this matters
Many organisations do not just need a learning platform. They need a digital environment that can support people at scale, integrate cleanly with core systems, and continue to evolve as needs change. This engagement shows Assertio’s ability to help clients deliver secure, scalable, and user-centred digital platforms in settings where adoption, trust, and operational effectiveness all matter.
Cloud Contact Centre Platform - Modernising contact centre operations for scale, continuity, and better caller experience
Assertio supported a large tertiary-sector organisation in migrating multiple contact centres to a cloud-based omnichannel platform designed to improve resilience, support peak demand, and create a more responsive caller experience across critical services.
Services delivered
Assertio supported the engagement through contact centre migration planning, cloud contact centre implementation, single sign-on integration, softphone enablement, business-led configuration, operational cost forecasting, and delivery assurance focused on improving scalability, continuity, and user experience.
The challenge
The organisation needed to move quickly from an ageing contact centre platform that no longer offered the redundancy or flexibility required for important internal and external services. At the same time, it needed to handle sharp demand spikes during high-pressure periods, reduce delays for callers, and give agents better access to the information needed to respond effectively. The solution also needed to support remote access, operational agility, and a smoother path to future service improvement.
Assertio’s contribution
Assertio helped deliver a more modern contact centre environment built around cloud-native services and configuration-led delivery. The work focused on consolidating multiple contact centre interactions into a single platform, enabling agents to work securely from anywhere, and giving the business more flexibility to make operational changes without disrupting day-to-day service. By prioritising early visibility for agents and a delivery approach centred on usable managed services rather than heavy customisation, Assertio helped create a faster and more practical path to adoption.
Outcomes
The engagement contributed to a stronger foundation for handling peak demand, improving business continuity, and creating a more personalised caller experience. For the client, that meant reduced wait times, improved access to real-time interaction data for agents, and greater flexibility in how contact centre services could be managed and evolved. The callers could be connected back to the last agent they interacted with, supporting a more consistent and personalised experience. For Assertio, it demonstrated the value of combining cloud delivery, operational pragmatism, and scalable contact centre design in a high-demand service environment.
Why this matters
Many organisations do not just need a new contact centre platform. They need a more resilient and scalable service model that can handle demand fluctuations, support continuity, and improve the experience for both callers and agents. This engagement shows Assertio’s ability to help clients modernise critical service operations with cloud-based delivery that balances speed, flexibility, and operational confidence.
Assertio supported a large tertiary-sector organisation in migrating multiple contact centres to a cloud-based omnichannel platform designed to improve resilience, support peak demand, and create a more responsive caller experience across critical services.
Services delivered
Assertio supported the engagement through contact centre migration planning, cloud contact centre implementation, single sign-on integration, softphone enablement, business-led configuration, operational cost forecasting, and delivery assurance focused on improving scalability, continuity, and user experience.
The challenge
The organisation needed to move quickly from an ageing contact centre platform that no longer offered the redundancy or flexibility required for important internal and external services. At the same time, it needed to handle sharp demand spikes during high-pressure periods, reduce delays for callers, and give agents better access to the information needed to respond effectively. The solution also needed to support remote access, operational agility, and a smoother path to future service improvement.
Assertio’s contribution
Assertio helped deliver a more modern contact centre environment built around cloud-native services and configuration-led delivery. The work focused on consolidating multiple contact centre interactions into a single platform, enabling agents to work securely from anywhere, and giving the business more flexibility to make operational changes without disrupting day-to-day service. By prioritising early visibility for agents and a delivery approach centred on usable managed services rather than heavy customisation, Assertio helped create a faster and more practical path to adoption.
Outcomes
The engagement contributed to a stronger foundation for handling peak demand, improving business continuity, and creating a more personalised caller experience. For the client, that meant reduced wait times, improved access to real-time interaction data for agents, and greater flexibility in how contact centre services could be managed and evolved. The callers could be connected back to the last agent they interacted with, supporting a more consistent and personalised experience. For Assertio, it demonstrated the value of combining cloud delivery, operational pragmatism, and scalable contact centre design in a high-demand service environment.
Why this matters
Many organisations do not just need a new contact centre platform. They need a more resilient and scalable service model that can handle demand fluctuations, support continuity, and improve the experience for both callers and agents. This engagement shows Assertio’s ability to help clients modernise critical service operations with cloud-based delivery that balances speed, flexibility, and operational confidence.
Secure Cloud Uplift and Application Migration Programme - Embedding secure cloud foundations to accelerate critical services at scale
Assertio supported a large tertiary-sector organisation in embedding public cloud platforms into its core technology environment, helping create the foundations for faster delivery, stronger resilience, and more scalable digital services across teaching, contact centre, research, and wider application workloads.
Services delivered
Assertio supported the engagement through cloud platform implementation, cloud operating standards and practices, secure connectivity design, managed service adoption, workforce enablement, application migration, and delivery assurance focused on creating a scalable and secure cloud foundation for critical organisational services.
The challenge
The organisation needed more than isolated cloud projects. It needed a broader cloud programme that could support critical services at speed while maintaining security, reliability, and operational discipline. That included addressing cloud security assessment, integration with on-premise environments, and the need to build internal capability so teams could use cloud services confidently and effectively. The urgency of these needs increased significantly during COVID-19, when essential teaching and service platforms had to be delivered or scaled quickly.
Assertio’s contribution
Assertio helped shape the programme around secure, repeatable cloud adoption rather than one-off deployments. The work included helping embed multiple public cloud platforms into the organisation’s technology fabric, contributing to a wider change and training initiative, and enabling the swift migration of applications into the cloud. This created a stronger foundation for delivering cloud-based services consistently, securely, and at speed.
Outcomes
The programme contributed to stronger cloud foundations for a range of important services. The examples include lecture recording delivery for globally dispersed students, cloud contact centre capability to handle peak demand, and broader research and digital assessment support. It also notes a cloud capability uplift programme that trained and certified close to 200 staff. In addition, Assertio supported the swift migration of 30 applications to the cloud, helping improve agility, performance, and uptime across the environment. For the client, that meant faster time to value, more resilient services, and stronger internal capability to support ongoing cloud-enabled transformation. For Assertio, it demonstrated the value of combining cloud delivery, operating standards, workforce uplift, and practical migration execution to create sustainable organisational capability rather than isolated technical change.
Why this matters
Many organisations do not just need access to cloud technology. They need the foundations, guardrails, and internal capability to use it well across multiple services over time. This engagement shows Assertio’s ability to help clients create secure, scalable cloud environments that support resilience, speed, and long-term operational confidence.
Assertio supported a large tertiary-sector organisation in embedding public cloud platforms into its core technology environment, helping create the foundations for faster delivery, stronger resilience, and more scalable digital services across teaching, contact centre, research, and wider application workloads.
Services delivered
Assertio supported the engagement through cloud platform implementation, cloud operating standards and practices, secure connectivity design, managed service adoption, workforce enablement, application migration, and delivery assurance focused on creating a scalable and secure cloud foundation for critical organisational services.
The challenge
The organisation needed more than isolated cloud projects. It needed a broader cloud programme that could support critical services at speed while maintaining security, reliability, and operational discipline. That included addressing cloud security assessment, integration with on-premise environments, and the need to build internal capability so teams could use cloud services confidently and effectively. The urgency of these needs increased significantly during COVID-19, when essential teaching and service platforms had to be delivered or scaled quickly.
Assertio’s contribution
Assertio helped shape the programme around secure, repeatable cloud adoption rather than one-off deployments. The work included helping embed multiple public cloud platforms into the organisation’s technology fabric, contributing to a wider change and training initiative, and enabling the swift migration of applications into the cloud. This created a stronger foundation for delivering cloud-based services consistently, securely, and at speed.
Outcomes
The programme contributed to stronger cloud foundations for a range of important services. The examples include lecture recording delivery for globally dispersed students, cloud contact centre capability to handle peak demand, and broader research and digital assessment support. It also notes a cloud capability uplift programme that trained and certified close to 200 staff. In addition, Assertio supported the swift migration of 30 applications to the cloud, helping improve agility, performance, and uptime across the environment. For the client, that meant faster time to value, more resilient services, and stronger internal capability to support ongoing cloud-enabled transformation. For Assertio, it demonstrated the value of combining cloud delivery, operating standards, workforce uplift, and practical migration execution to create sustainable organisational capability rather than isolated technical change.
Why this matters
Many organisations do not just need access to cloud technology. They need the foundations, guardrails, and internal capability to use it well across multiple services over time. This engagement shows Assertio’s ability to help clients create secure, scalable cloud environments that support resilience, speed, and long-term operational confidence.
Snowflake Data and AI Practice Enablement - Strengthening a Snowflake practice through architecture leadership, customer POCs, and AI-led use cases
Assertio supported a regional technology partner in strengthening its Snowflake-focused data and AI capability through senior architecture leadership, customer proof-of-concept delivery, and practical solution shaping across analytics, reporting, and AI-driven automation. The work helped translate Snowflake from a platform discussion into a more concrete set of customer use cases spanning unified reporting, curated data layers, self-service analytics, and Document AI.
Services delivered
Assertio supported the engagement through principal data architecture, Snowflake solution design, customer discovery, data science input, POC design and execution, architecture advisory across ingestion and reporting pipelines, and technical showcase leadership focused on demonstrating the depth and breadth of Snowflake in real customer scenarios. This included use of Snowflake alongside Azure Data Factory, Fivetran, Tableau, Tableau Server, Salesforce, SharePoint, SAP, and MuleSoft in different solution patterns.
The challenge
Customers were often dealing with fragmented data spread across platforms such as ERP, CRM, and collaboration tools, making it difficult to create a single source of truth or deliver timely and trusted reporting. Manual reporting processes introduced delays, duplicate records, missing data, and inconsistent outputs, while the lack of curated data layers limited advanced analytics and self-service use. At the same time, customers needed help understanding where Snowflake could create practical value, not just as a warehouse, but as a broader platform for governed analytics, data harmonisation, and AI-led use cases.
Assertio’s contribution
Assertio helped shape customer conversations and delivery approaches from a principal data architect perspective, bringing structure to how Snowflake could be positioned, designed, and demonstrated. The work focused on showing how modern data architectures could be built around layered Snowflake environments, with raw, staging, curated, and reporting layers supporting more reliable ingestion, transformation, governance, and analytics. Alongside this, Assertio contributed from a data science and innovation perspective by helping run customer-facing POCs that demonstrated more advanced Snowflake capabilities, including Document AI and modern data synchronisation patterns. This gave customers a more tangible view of what Snowflake could unlock beyond conventional reporting.
Use case 1: Unified enterprise reporting on Snowflake
This involved a fragmented reporting landscape spanning SAP, Salesforce, and SharePoint. To address that, the solution used Azure Data Factory to ingest data from Salesforce and SharePoint into Snowflake, while Fivetran was used to extract and synchronise SAP data. The data was then structured through a multi-layered Snowflake architecture made up of raw, staging, curated, and reporting layers, creating a stronger analytics foundation. Tableau Desktop and Tableau Server were used to build, publish, and manage dashboards, enabling more centralised reporting and self-service analytics across business teams. This pattern demonstrated Snowflake’s value as a governed data platform capable of supporting automation, role-based access, data discovery, and faster decision-making.
Use case 2: Document comparison using Snowflake Document AI
A second example focused on a proof of concept for automated comparison of loan documents in a real estate context. The customer had been relying on manual comparison of high volumes of documents, creating delays and increasing the risk of human error. The POC used Snowflake Document AI to automate document comparison and highlight discrepancies more efficiently. This reduced manual effort by around two hours per document and reduced errors by 35 percent. From Assertio’s perspective, this kind of engagement was important not just because of the technical implementation, but because it helped customers see Snowflake as a platform for AI-enabled operational improvement, not only data storage and reporting.
Use case 3: Salesforce-to-Snowflake modernisation for advanced analytics
This highlights a customer example where Salesforce data was integrated into Snowflake using MuleSoft, creating a centralised repository for more advanced analytics and a more complete customer view. This supported stronger reporting, improved governance, and faster insight generation. In practice, examples like this helped demonstrate how Snowflake could sit at the centre of a modernised data landscape, supporting both immediate reporting needs and longer-term analytical maturity.
Outcomes
The engagement helped strengthen how the partner could position and deliver Snowflake-led solutions across customer opportunities. For customers, that meant clearer architecture patterns, more practical demonstrations of value, and a stronger understanding of how Snowflake could support unified reporting, self-service analytics, governed data consumption, and AI-led automation. For the partner, it helped deepen the Snowflake practice through a combination of senior technical leadership, customer-facing architecture credibility, and POCs that made platform value easier to see and easier to sell. For Assertio, it demonstrated the ability to contribute at the intersection of architecture, data science, and commercial solution shaping.
Why this matters
Many organisations do not need another abstract conversation about modern data platforms. They need to see how the architecture works, which tools fit together, where business value comes from, and how early use cases can de-risk adoption. This engagement shows Assertio’s ability to help partners and customers move from platform potential to practical opportunity through principal data architecture, POC leadership, and applied AI and analytics use cases built around Snowflake.
Assertio supported a regional technology partner in strengthening its Snowflake-focused data and AI capability through senior architecture leadership, customer proof-of-concept delivery, and practical solution shaping across analytics, reporting, and AI-driven automation. The work helped translate Snowflake from a platform discussion into a more concrete set of customer use cases spanning unified reporting, curated data layers, self-service analytics, and Document AI.
Services delivered
Assertio supported the engagement through principal data architecture, Snowflake solution design, customer discovery, data science input, POC design and execution, architecture advisory across ingestion and reporting pipelines, and technical showcase leadership focused on demonstrating the depth and breadth of Snowflake in real customer scenarios. This included use of Snowflake alongside Azure Data Factory, Fivetran, Tableau, Tableau Server, Salesforce, SharePoint, SAP, and MuleSoft in different solution patterns.
The challenge
Customers were often dealing with fragmented data spread across platforms such as ERP, CRM, and collaboration tools, making it difficult to create a single source of truth or deliver timely and trusted reporting. Manual reporting processes introduced delays, duplicate records, missing data, and inconsistent outputs, while the lack of curated data layers limited advanced analytics and self-service use. At the same time, customers needed help understanding where Snowflake could create practical value, not just as a warehouse, but as a broader platform for governed analytics, data harmonisation, and AI-led use cases.
Assertio’s contribution
Assertio helped shape customer conversations and delivery approaches from a principal data architect perspective, bringing structure to how Snowflake could be positioned, designed, and demonstrated. The work focused on showing how modern data architectures could be built around layered Snowflake environments, with raw, staging, curated, and reporting layers supporting more reliable ingestion, transformation, governance, and analytics. Alongside this, Assertio contributed from a data science and innovation perspective by helping run customer-facing POCs that demonstrated more advanced Snowflake capabilities, including Document AI and modern data synchronisation patterns. This gave customers a more tangible view of what Snowflake could unlock beyond conventional reporting.
Use case 1: Unified enterprise reporting on Snowflake
This involved a fragmented reporting landscape spanning SAP, Salesforce, and SharePoint. To address that, the solution used Azure Data Factory to ingest data from Salesforce and SharePoint into Snowflake, while Fivetran was used to extract and synchronise SAP data. The data was then structured through a multi-layered Snowflake architecture made up of raw, staging, curated, and reporting layers, creating a stronger analytics foundation. Tableau Desktop and Tableau Server were used to build, publish, and manage dashboards, enabling more centralised reporting and self-service analytics across business teams. This pattern demonstrated Snowflake’s value as a governed data platform capable of supporting automation, role-based access, data discovery, and faster decision-making.
Use case 2: Document comparison using Snowflake Document AI
A second example focused on a proof of concept for automated comparison of loan documents in a real estate context. The customer had been relying on manual comparison of high volumes of documents, creating delays and increasing the risk of human error. The POC used Snowflake Document AI to automate document comparison and highlight discrepancies more efficiently. This reduced manual effort by around two hours per document and reduced errors by 35 percent. From Assertio’s perspective, this kind of engagement was important not just because of the technical implementation, but because it helped customers see Snowflake as a platform for AI-enabled operational improvement, not only data storage and reporting.
Use case 3: Salesforce-to-Snowflake modernisation for advanced analytics
This highlights a customer example where Salesforce data was integrated into Snowflake using MuleSoft, creating a centralised repository for more advanced analytics and a more complete customer view. This supported stronger reporting, improved governance, and faster insight generation. In practice, examples like this helped demonstrate how Snowflake could sit at the centre of a modernised data landscape, supporting both immediate reporting needs and longer-term analytical maturity.
Outcomes
The engagement helped strengthen how the partner could position and deliver Snowflake-led solutions across customer opportunities. For customers, that meant clearer architecture patterns, more practical demonstrations of value, and a stronger understanding of how Snowflake could support unified reporting, self-service analytics, governed data consumption, and AI-led automation. For the partner, it helped deepen the Snowflake practice through a combination of senior technical leadership, customer-facing architecture credibility, and POCs that made platform value easier to see and easier to sell. For Assertio, it demonstrated the ability to contribute at the intersection of architecture, data science, and commercial solution shaping.
Why this matters
Many organisations do not need another abstract conversation about modern data platforms. They need to see how the architecture works, which tools fit together, where business value comes from, and how early use cases can de-risk adoption. This engagement shows Assertio’s ability to help partners and customers move from platform potential to practical opportunity through principal data architecture, POC leadership, and applied AI and analytics use cases built around Snowflake.