Company intelligence
Senni
The safe way for FIs to use AI
About Senni
Senni is the governance and monitoring layer that sits between your institution and the AI services it uses, so risk, compliance and audit teams can finally see what AI is doing, control what data it touches, and evidence every interaction. AI has entered the enterprise faster than the controls around it. The result is a governance gap that sits invisibly inside everyday work. Adoption has outrun oversight. AI agents are already running inside mainstream enterprises, touching real systems and real customer data. But the tools that deploy them were never built to answer the questions a regulator asks: what data went where, under whose authority, and can you prove it. Meanwhile AI spend is compounding quietly across teams, with little visibility into which models are being used, by whom, or at what cost. Senni adds a governance boundary between your organisation and the AI services it has approved. Nothing gets rebuilt: governance wraps around what already works. See Senni against your own AI estate. We work with risk, compliance and technology leaders in regulated institutions. Tell us what you are running and we will show you what governance looks like around it.
Verified activity
Signals from Senni
4 published signals
Products & Services
Senni is building a governance and evidence layer for AI agents to address the gap between AI agents, human accountability, and the evidence firms need to produce when things go wrong.
Reported by Senni
Products & Services
Senni is the runtime that executes workflows inside the author's own cloud, metering consumption per workflow, per agent, per decision.
Reported by Senni
Products & Services
Senni published a piece explaining why delegation breaks with AI in the loop, what 'reasonable steps' requires as evidence, and six questions worth asking before agent ships
Reported by Blai Pratdesaba
Research & Knowledge
Senni conducted the Enterprise AI Readiness & Governance Research, drawing on research across 30+ regulated organisations to explore AI adoption, governance, operational challenges, and enterprise leaders' needs.
Reported by Senni