Finance teams spent more time assembling answers than acting on them. We deployed a governed AI financial-analytics capability: natural-language questions answered with reasoning and sources, role-based access by business unit and geography, and automated regression testing, embedded into the monthly close. Targeting 90%+ answer coverage and self-service for business leaders.

A five-year global standardization program risks freezing a design that AI overtakes before go-live. We provide senior, independent executive advisory: testing the target design against an AI-everywhere operating model, reviewing early pilots, and benchmarking the future state, so the design stays relevant for a decade and executable today.

A production-ready, next-generation build of a core internal application, delivered in rapid sprints by a joint pod of our forward-deployed engineers and the customer's own experts, against objective, jointly agreed acceptance criteria. Targeting a production build inside 90 days and a reference case for AI-native delivery across the product cycle.

Hundreds of affiliates run different HR systems, each with its own job architecture, and regulation prevents centralizing the data. We build a governed layer above the source systems: a canonical talent ontology, federated read-only connectivity with residency and audit, an AI equivalency engine mapping local titles to a common reference, and a natural-language analytics agent. A 90-day first phase, proven before scaling.