Illustrative engagements based on real problem patterns we have solved with enterprise clients — plus how we think about AI transformation.
The bank needed to lift RM productivity across 14 markets without breaching local data-sovereignty rules or its model-risk framework.
Stack: Private LLM, RAG over CRM & product data, jurisdictional data partitioning, model-risk governance.
Illustrative engagementRising churn and contact-centre costs were eroding margin. The board wanted measurable retention impact within two quarters.
Stack: Churn propensity models, GenAI care agent, event-driven data platform, MLOps with drift monitoring.
Illustrative engagementA composite insurer was losing days per claim to manual intake, document checks, and triage — and customer trust with it.
Stack: Document AI, computer vision for damage assessment, decisioning workflow, human-in-the-loop review.
Illustrative engagementTool adoption gives you features; strategic adoption rewires how the business decides, operates, and grows. The gap between the two is where competitive advantage is being created right now.
The enterprises scaling AI fastest are the ones whose governance lets them move fast safely. Responsible AI isn't a brake — done right, it's the accelerator.
Autonomous agents don't just automate tasks — they restructure processes, teams, and cost curves. Designing the human + AI operating model is the real transformation work.
Bring us your hardest operational problem. We'll map the AI capability that solves it — and the business case that funds it.