Finance & Insurance
Lakehouse & AI platform for an insurer
Replace an ageing data warehouse with a governed platform for BI, pricing models and GenAI.
How we approach it
- Platform choice workshop (e.g. Databricks vs. Snowflake vs. Fabric) against real workloads
- Landing zone and lakehouse built as code with catalogue and lineage
- Phased migration of reports and models with automated reconciliation
How success is measured
Reports and models migrated, data freshness, platform cost vs. legacy, time to onboard a new AI use case.
Related
More use cases.
Finance & Insurance
Claims intake & triage agent
Read claim documents and photos, check coverage and route claims automatically.
AI AgentsImage & VisionEvals & Guardrails
Open →
Finance & Insurance
KYC / AML analyst copilot
Speed up customer due diligence while keeping every decision explainable.
LLM Apps & CopilotsRAG & SearchEU AI Act & Governance
Open →
Finance & Insurance
Governed LLM access for a regulated firm
Let every team use LLMs through one gateway with redaction, logging and EU-only routing.
AI GatewaysEvals & Guardrails
Open →
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
Keep exploring
There’s more to see.
Up next · How we work
Start small. Prove value. Scale.
Three engagement models, a measure-first approach and a 3-click starting-point finder.
About
Hands-on engineering, not slideware
Who we are and the principles we work by.
Blog
Notes from the field
In-depth articles on architecture, production lessons and research.
Services
Everything between the idea and the SLA
Agents, MCP servers, RAG, fine-tuning, voice, vision and governance, 19 hands-on capabilities.
Platforms & Cloud
The heavy lifting behind AI
Data & AI platforms, landing zones, accelerators and migrations between cloud AI providers.