The Governed AI Platform

Responsible AI isn't an
IT problem.
It's a leadership one.

AISensa is built for the people accountable for how AI is used in regulated firms. Enforceable, evidenceable, and on the side of the people doing the work.

Book a Consultation See how it works

UK Data Residency Guaranteed ISO 42001 Aligned Founded in Scotland Built for Leadership Teams

Who It's For

Built for firms where AI governance is not optional

If your firm carries professional accountability, regulatory and accreditation obligations, or client data confidentiality — you're in the right place.

Carries the Accountability

Managing Partner

Answers for the firm's AI risk

When a regulator or a major client asks how the firm governs AI, you need a real answer — not a policy document. AISensa makes that answer provable, and guarantees the data behind it never leaves the UK.

A client asks how AI is governed at your firm. You show them the evidence, not a policy pack.

Owns the Evidence

Compliance Officer

Turns policy into proof

You've written the policy. AISensa is what makes people actually follow it — enforcing the rules at the point of behaviour and building the evidence trail automatically.

Someone opens an ungoverned AI tool with a client file. AISensa stops it and logs the moment — no manual chasing required.

Controls the Spend

Finance Director

Brings AI cost under governance

AI spend is accumulating across the firm right now with no breakdown and no budget discipline. AISensa governs cost the same way it governs risk — by department, team and use case.

A team approaches its monthly AI budget. You know before they go over it, not after the invoice arrives.

Owns the Estate

Head of IT

Deploys inside what you already run

AISensa sits inside the Microsoft environment and Entra estate you already manage — nothing alien, nothing bolted on. Data sovereignty is an architectural fact, not a vendor promise.

No new platform to secure. AISensa runs on Azure UK South or UK West, inside your existing control plane.

See how this plays out, sector by sector →

Real-World Risk

Best intentions. No controls.

Pick your scenario — across legal, anti-money laundering (AML), financial services, and insurance teams, the difference between enablement and exposure is enforced controls.

Without AISensa

A solicitor downloads a confidential client matter

Uploads it to an ungoverned AI tool with no policy guardrails
Data residency unverifiable

No metadata, no supervision context, no record of response usage
Client confidentiality at risk

4
The firm has no defensible audit trail
SRA exposure · PI liability

With AISensa

✓

Same solicitor, same document, but only approved AI routes are available

✓

Governance metadata is surfaced as soon as AI is invoked
UK data residency enforced

✓

Supervision and approval requirements are automatically applied
Duty of care met

✓
The firm has a timestamped legal audit record
Regulator-ready evidence

Without AISensa

An analyst uses open AI to summarise source-of-funds documents during client onboarding

Client identifiers, adverse media notes, and risk details are copied into a public tool outside firm controls
Sensitive AML data leaves governed workflow

No reviewer sign-off, escalation path, or record of how the AI summary influenced the risk decision
EDD judgment trail missing

4
If challenged later, the firm cannot evidence how its AML controls were applied
Regulatory exposure · weak auditability

With AISensa

✓

Same analyst, same onboarding task, but through an approved AI pathway

✓

Client data handling, residency rules, and prompt controls are enforced before any AI interaction
AML data stays inside policy

✓

Escalation thresholds, reviewer approval, and decision context are captured in the same workflow
EDD supervision embedded

✓
The firm can evidence why the onboarding or enhanced due diligence decision was made
Audit-ready AML record

Without AISensa

A broker's compliance lead spends three to five days before each PI renewal reconstructing which AI tools each team uses

Testing evidence is scattered across email threads and vendor brochures — when it exists at all
No verifiable test record

Data flows to third-party models are inferred, not mapped — no one can confirm where client data actually goes
Data flow unverifiable

4
The evidence pack is a static snapshot that goes stale the moment a new tool is adopted — rebuilt from scratch next renewal
Renewal risk · unverifiable to the underwriter

With AISensa

✓

Same compliance lead, same renewal cycle, but the evidence already exists as a living record

✓

Every AI tool in use is registered with its risk tier, test results, and review cadence
Continuous testing evidence

✓

Data flows are mapped automatically, and the named SMF has a real-time dashboard, not a PDF sign-off
SMF accountability evidenced

✓
At renewal, the broker exports a governance record that's been current the whole time
Underwriter-ready, always current

No Pitch. No Obligation.

Not ready for a platform conversation?
Start with 30 minutes.

A short call with one of our subject matter experts — not a salesperson — to talk through where AI governance sits in your firm today, what's working, and whether AISensa is even the right fit. No deck. No follow-up sequence. Just a conversation about your situation.

Book a Consultation info@aisensa.ai

Free. No obligation. You'll speak with a subject matter expert, not a salesperson.

Responsible AI isn't an IT problem.It's a leadership one.

Built for firms where AI governance is not optional

Managing Partner

Compliance Officer

Finance Director

Head of IT

Best intentions. No controls.

Not ready for a platform conversation?Start with 30 minutes.

Responsible AI isn't an
IT problem.
It's a leadership one.

Not ready for a platform conversation?
Start with 30 minutes.