Banks, insurers, NBFCs, asset managers — the institutions where the cost of getting AI wrong is measured in regulatory penalties, capital ratios, and customer trust. We build for that reality.
Financial services is where AI becomes audit-grade or it doesn't ship. Decisioning models that affect a customer's credit, fraud systems that affect their account, agents that touch their money — every one of these needs evals, explainability, and a clear chain of accountability. The leap is not adding AI to existing risk processes. It is rebuilding the risk function so AI is the substrate, with humans where the consequences are largest.
Model strategy, eval frameworks, governance, fairness, post-decision explainability. Production decisioning at scale, audited.
Real-time detection, agent-led case investigation, regulator-ready audit trails. Models that learn faster than the fraud does.
AI-augmented contact centres, intent-routed copilots, escalation paths that respect compliance. Empathy at machine speed.
Scenario engines, market-risk modelling, stress-testing — all on a common data substrate the regulator can examine.
From quarterly batch to continuous. Embedded controls, agentic policy checks, faster regulatory response.
Advisor copilots that pass suitability checks. Personalised at scale without losing the fiduciary line.
RBI master circulars, SEBI cybersecurity framework, IRDAI, DPDP Act, Basel III/IV — and the equivalents wherever your second-line operates.
Every engagement starts with a 90-minute Leap Assessment — a working session with our partners, no retainer, no commitment. We leave you with a sharper sense of where the advantage sits in your specific context.
