Pre-assessment effort reduced
Classification and completeness checking happen before a handler opens the claim.
New guide: assessing organisational readiness for Microsoft 365 Copilot. Read the guide
Move from AI experiments to governed, measurable Copilot and agent capability across Microsoft 365, Dynamics 365 and Power Platform.
Sales, service, field operations and customer data on a platform your teams will use, with the data quality that makes it dependable.
Apps, automation, portals and analytics delivered quickly, inside a platform model that keeps ownership and data boundaries under control.
Cloud platform, migration, integration, Microsoft Fabric analytics and the Microsoft security stack, designed as an operating model rather than a diagram.
Collaboration, content, intranet and employee experience with the information architecture and governance that keep them working.
Independent assessment, roadmapping and business-case support that turn ambition into a sequenced, fundable plan.
Solution, data, integration and security architecture with the decisions written down so the solution can be owned later.
Agile delivery, configuration, low-code development, migration and integration, released through a controlled path.
Functional, integration, acceptance, security and performance testing that produces artefacts you can review.
Stakeholder engagement, communication, training and adoption programmes measured by what people actually do.
Application support, platform administration, monitoring, incident management and a funded enhancement backlog.
Public and financial
Commercial and industrial
Who we are, how we work and how to join us.
Legal and standards
GCC Insurance Provider ยท Insurance
Automated claims intake classification, document completeness checking and handler assistance, with explicit human decision points.
Technologies
Outcome themes
Delivery approach
Twelve months of claim history analysed to establish intent distribution and document requirements by claim type.
Intake flow, automation boundary, confidence thresholds, escalation rules and audit model.
Extraction, classification, completeness checking, correspondence and handler assistance implemented incrementally.
Shadow running against live volume with handler review of every automated classification before activation.
Weekly review of accuracy, escalation and repeat contact, with threshold adjustment.
Outcomes
Classification and completeness checking happen before a handler opens the claim.
Missing documentation is requested at intake rather than after review.
Adjudication is unaffected by automation, and this is evidenced in the audit trail.
Thresholds are tuned weekly against observed accuracy rather than fixed at design time.
Lessons learned
Every engagement produces something worth carrying forward. These are the points that mattered most in this one.
Related capabilities
Customer story
Several departmental case processes consolidated onto one Dataverse case model with a citizen-facing portal and defensible records handling.
Customer story
A grounded internal assistant, including the content preparation that makes the answers trustworthy.
Customer story
Several operating entities moved from separate extracts to one governed semantic model with owned definitions.