REST API
Your core system, DMS or workflow triggers analyses and receives structured results – no extra screen for claims handlers.
Insurance AI Workbench
The central AI platform for property, life and health insurers: field-tested, integrated into your core systems through APIs and expandable with specialist skills – with versioning, roles and a complete audit history.
A controlled AI analysis engine – not a chatbot.
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Prompt management · Multi-model connection · Knowledge management · Role-based access · Quality review · Full audit trail · API integration
Achievable with the Insurance AI Workbench. Results vary by process and implementation.
How the Workbench is used
Most work with the Workbench doesn’t happen in the Workbench: your systems, AI agents and interfaces call it. The console is where experts configure what runs behind the scenes.
Your core system, DMS or workflow triggers analyses and receives structured results – no extra screen for claims handlers.
Through the Model Context Protocol, AI assistants and agents use Workbench skills as tools – as approved, versioned skills.
Results appear in the applications your teams already use: claims software, portals or intranet.
Where insurance experts configure workflows, manage prompt and model versions and monitor results.
Ready for every line of business
For property, life and health insurers – field-tested and tailored to your processes.
Risks are assessed automatically using defined decision logic and integrated into your pricing models – with results in real time.
Claim notifications are analysed automatically, relevant data is extracted and next steps are suggested – faster, cheaper, more consistent.
Customer and contract data is processed via APIs with your CRM and core system; requests and changes are written directly into them.
Portfolio and claims data is evaluated automatically – for forecasts and reports without manual data preparation.
Operating modes
Set per process – with review rules that decide when an expert takes over.
Standard cases run fully automated. Exceptions are routed to your experts.
Claims handlers work online with the AI, review suggestions and approve results.
Large portfolios are processed in bulk – for analyses, forecasts and reports.
Why a workbench
A chatbot answers questions. A workbench runs approved analyses – the same way every time, traceable and under your experts’ control.
Insurance experts define and test what the AI does. Only approved versions run in production.
Prompts, models and knowledge sources are versioned. Every run leaves an audit trail.
Analyses are triggered through APIs and return to your core system, DMS or workflow.
Capabilities
One workflow, both modules
FNOL completeness shows how Capture and the Workbench operate as one controlled process.
A notice arrives through the existing process.
The Workbench checks whether all FNOL information is present.
Missing evidence starts a guided capture.
The customer submits photos, video or documents.
The evidence is structured for the workflow.
An expert reviews exceptions and decides.
Result and audit history return to the core system.
Use cases
From AI damage analysis to contract changes and actuarial analysis – every use case can be the starting point for a pilot.
Automated analysis of photos and statements at FNOL and inspection – returns damage type, extent and a first assessment.
Discuss this use caseChecks automatically whether the reported loss is covered by the policy and flags borderline cases for manual review.
Discuss this use caseClassifies incoming email from shared mailboxes – from customers, intermediaries, repair shops, police or fire services – and routes it to the right department and line of business. No message is left sitting in the wrong mailbox.
Checks statements and media for anomalies and points the claims handler to them.
Detects missing information, documents or photos in claims and applications, drafts the right request to the customer, intermediary or loss adjuster and tracks whether it arrives.
Discuss this use caseCombines photos, videos, documents and spoken statements into a structured claim overview.
Discuss this use caseBook a demo
A specific use case is the best starting point.