Fintricity

AI-first engineering and delivery

Enterprises in regulated industries can bring in Fintricity for strategy, consulting or engineering work on production AI systems. Its engineering pairs human engineers with AI-assisted build loops, shifting engineers from manual implementation to describing intent and supervising the work. The firm says human and agent teams deliver work several times faster, and it describes its modernisation approach as re-architecting and rewiring systems rather than lifting and shifting them. The aim is AI in production, with testing, deployment, observability, security and cost controls in place rather than pilots that never reach users.

Consulting and workforce education

The firm calls its advisory offer Consulting 5.0, combining human judgement with AI analysis of large volumes of data and of possible scenarios. Its education work prepares leaders, managers, practitioners and governance teams to supervise autonomous agents, evaluate their outputs and redesign workflows responsibly. Workshops and training days are part of that offer.

Discovery sprints and AI strategy

A discovery sprint uses AI to map codebases, architecture, data flows and day-to-day operations within weeks rather than months, producing reusable assets for everyone involved. The AI strategy service turns ambition into a funded roadmap that connects use cases, the operating model, architecture, data, governance and investment. Its applied research tests AI techniques against real constraints, and its agentic AI and automation work designs governed agents for enterprise tasks. Fintricity says engagements are agreed around outcomes rather than time and materials.