Vigilant AI.ai

In regulated companies, adopting artificial intelligence is blocked by a paradox: AI can boost productivity, but every untracked action carries compliance risk. An employee using a generative model to respond to a client might breach regulations without knowing it. A company that cannot demonstrate what its AI system did at every moment cannot operate in sectors like financial services, healthcare, or insurance. Vigilant AI, based in Derby in the United Kingdom, was built to resolve this paradox. The company develops AI Teammates — artificial intelligence agents designed to work within enterprise workflows with real-time compliance guardrails built in. Every action the agent takes is monitored; every decision is recorded in an immutable audit trail that organizations can present during regulatory inspections. This transforms AI from a risk element into a control element. Founders Michael Anyfantakis and Mark Wood built the product starting from the specific needs of financial services — the sector where regulatory pressure is most intense and where demand for safe automation is most urgent. The platform integrates into existing processes without requiring an IT architecture overhaul, and self-service onboarding reduces implementation timelines. The business model is B2B SaaS: companies begin with pilots to validate use cases, then convert to recurring revenue deployments. Enterprise security certifications are part of the standard offering — an essential element for selling to financial institutions with stringent vendor assessment requirements. The timing is favorable: with the European AI Act taking effect and accountability demands on automated systems intensifying, regulated companies are actively seeking solutions that enable AI adoption without exposing the organization to new legal and reputational risks. Vigilant AI occupies exactly this space.