Usage monitoring
Every AI interaction across the organisation, visible in one place.
- Track users, models and AI activity
- Monitor cost, usage and execution status
- Visualise data flows across AI workflows
AI governance for regulated financial services
The safe way for FIs to use AI
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.
Deploys inside your own perimeter Model-agnostic No workflow rebuild
Every interaction is checked at the boundary before it reaches an AI service.
The problem
Institutions are breaching data rules without knowing it
AI has entered the enterprise faster than the controls around it. The result is a governance gap that sits invisibly inside everyday work.
The invisible breach
An analyst downloads a credit report, pastes it into an LLM for a quick summary, and in doing so transmits personal financial data to an external server, outside every control the institution has in place.
- The analyst does not know they are breaching.
- The compliance team cannot see it happening.
- The risk owner has no record that it ever occurred.
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.
“Second line isn’t asking ‘did it work.’ They are asking ‘can you prove it can’t do the wrong thing.’ Most orchestration tools have no answer to that, so sign-off stalls.”
Senior management member, GoTyme Bank
How it works
Keep your workflow. Put AI use under control.
Senni adds a governance boundary between your organisation and the AI services it has approved. Nothing gets rebuilt: governance wraps around what already works.
Your organisation
Existing workflows
Business processes and sensitive context stay where they are, under your control.
Senni governance
A controlled boundary for AI
- Policy applied at the point of use
- Sensitive data protected before egress
- Every interaction evidenced
Approved AI services
Models and tools
Only the services your organisation has selected and approved, receiving only authorised context.
Only authorised context is shared. Every governed interaction produces a traceable record.
The platform
Governance your institution can deploy today
Three capabilities that turn AI use from an unmonitored activity into a governed, evidenced one.
Compliance reporting
Audit evidence generated as a by-product of normal operation.
- Complete, tamper-evident audit trail
- Approvals and governance controls recorded
- Audit-ready compliance evidence on demand
Workflow builder
Design and run AI workflows with the controls built in from the start.
- Design and manage AI agent workflows
- Configure models, prompts and integrations
- Control approved and restricted data
Why Senni
Built for the way regulated institutions actually work
Inside your perimeter
Deployed on your own infrastructure, so sensitive data and governance records never have to leave the institution.
Model-agnostic by design
One governance layer above every approved AI service, whichever models you use today or adopt next year.
No workflow rebuild
Governance is adopted around the tools and processes your teams already run, rather than replacing them.
Financial services first
Designed around the obligations risk, compliance and audit functions in regulated institutions are held to.
Why now
Major markets are moving to regulate AI, and deadlines are near
Across the UK, EU and US, obligations that already applied to models and outsourcing are being extended explicitly to AI, with personal accountability attached.
FCA, PRA and SM&CR
- PRA SS1/23 puts model risk on the board agenda
- FCA Consumer Duty expects explainable AI in customer-facing decisions
- SM&CR attaches personal liability to the individual accountable for AI governance
EU AI Act and DORA
- High-risk AI in credit scoring, underwriting and risk assessment falls in scope of the EU AI Act
- Penalties can reach €35m or 7% of global turnover
- DORA has been in force since January 2025, with third-party AI oversight obligations
Fed, OCC and FDIC
- Federal AI risk guidance issued to supervised institutions
- Fair lending, consumer protection and model risk rules already apply to AI-enabled models
- Expectations continue to tighten across state and federal regimes
Sources: EU AI Act, Regulation (EU) 2024/1689 · DORA, Regulation (EU) 2022/2554 · PRA SS1/23 · FCA Consumer Duty (PS22/9) · SM&CR. Provided for general information only and not as legal or regulatory advice.
Founders
Built by people who have shipped in regulated environments
Senni comes out of years spent building and running financial technology inside institutions that are supervised, audited and held to account.
Blai Pratdesaba
Founder & CEO20+ years scaling fintech engineering teams, most recently as CTO at mmob, where he invented and patented its Embedded Finance Engine. Has won and delivered partnerships with Mastercard, NatWest and J.P. Morgan, and led AI strategy across the UK and Malaysia.
Ben Sharp
Founder & CTO17+ years building software products and leading engineering teams, with deep experience delivering regulated fintech platforms and driving PCI DSS Level 1 compliance, pairing technical depth with a practical grasp of what auditability really demands.
Anastasiia Chaban
Founder & CPOProduct leader with a track record across fintech, AI and SaaS in both startups and enterprise organisations. Specialises in product strategy, customer-led innovation and scaling platform products from concept to market.
FAQ
Questions we get asked most
Do we have to replace the AI tools we already use?
No. Senni is a governance layer that sits above the tools your institution already runs. Teams keep their existing workflows and approved AI services; Senni adds policy, protection and evidence around them.
We already have security and compliance teams, so why do we need this?
Existing security tooling was built for people accessing applications, not for AI systems interacting with multiple models and internal systems on their own. Traditional controls can monitor infrastructure; Senni governs AI behaviour, data movement and model usage, creating the visibility and evidence those teams need to sign work off.
Where does Senni run, and where does our data go?
Senni is designed to deploy inside your own perimeter, on infrastructure you control. Sensitive data and governance records stay within the institution, which is what makes the model workable for security-conscious and air-gapped environments.
Is Senni tied to a particular AI provider?
No. Senni is model-agnostic and sits above every approved AI service. As institutions adopt more than one provider, an independent governance layer becomes more valuable, not less.
Is this just another compliance reporting tool?
Compliance reporting is an outcome, not the product. Senni governs AI interactions as they happen, applying policy, controlling data access and monitoring usage, and compliance evidence is produced automatically as a result.
Why financial services first?
Regulated financial institutions face the sharpest combination of AI adoption, supervisory scrutiny and personal accountability. The same governance architecture extends naturally into other highly regulated sectors once established.
Get in touch
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.