Financial Services

AI governance for financial services

Banks, insurers and asset managers face overlapping AI regulation and intense accountability. TrustedAIGov gives you one system of record, runtime assurance and AI cost control — designed for the EU AI Act, DORA, ISO 42001 and SMCR.

Your pressures

Regulation, resilience and accountability

Financial services sits at the sharp end of AI oversight — three pressures, all converging at once.

⚖️

EU AI Act high-risk use cases

Credit scoring, fraud and insurance pricing can fall into high-risk categories.

  • Classify AI by risk level
  • Map obligations to each use case
  • Evidence conformity over time
🛡️

DORA operational resilience

AI now sits inside the ICT resilience perimeter regulators expect you to control.

  • Track AI as critical ICT
  • Document third-party AI risk
  • Support incident readiness
👤

Model & SMCR accountability

Senior managers must show a named owner and clear control over every model.

  • An owner on each AI asset
  • Decisions backed by evidence
  • Defensible accountability trail
How TrustedAIGov helps

One platform across govern, assure and optimise

Three products map directly to the pressures financial services teams carry.

📚

Governance Platform

Your system of record for every AI asset, owner, risk class and obligation.

  • Inventory & classification
  • Obligations mapped to controls
  • Audit-grade evidence
🔒

Runtime Assurance

Controls for SAP and agent activity, with separation of duties enforced.

  • SAP & agent controls
  • Segregation of duties
  • Continuous enforcement
💷

AI FinOps

Cost control so AI spend stays visible, attributable and defensible.

  • Cost on every AI decision
  • Spend attributed to owners
  • Waste surfaced early

Frameworks we align to

We are precise: designed for the EU AI Act, and aligned to the standards financial services teams report against.

EU AI Act — Designed for DORA — Aligned ISO/IEC 42001 — Aligned SMCR — Aligned

Bring your AI under control

See where your AI exposure sits today, then put governance, assurance and cost control in place.

Financial services in depth

Mapped to your sector

⚖️

Sector regulations

EU AI Act · DORA operational resilience · SMCR accountability · model-risk governance.

🤖

AI use cases

Credit decisioning · AML / fraud agents · trading & research copilots · customer-service AI.

🔌

Connector relevance

Azure OpenAI & Entra ID · AWS Bedrock / SageMaker · SAP S/4HANA (finance) · Datadog / Splunk.

🔁

Governance workflow

Discover → classify high-risk (credit, AML) → controls + evidence → runtime SoD & kill-switch → board pack.

How it works

From shadow AI to board-ready in four steps

The same path every customer follows — mapped to EU AI Act, DORA and SMCR accountability in financial services.

Connect & discover

Read-only across Microsoft, AWS, Google, SAP and more — 26 connectors across 6 families — or import a CSV. Every AI system and agent, including shadow AI.

Govern

Owner, risk classification and controls mapped to the EU AI Act, ISO 42001, NIST AI RMF and DORA, with a prioritised queue.

Assure

Evidence kept current, a self-explaining Trust Score, and Runtime Assurance enforcing policy at the point of action.

Report & optimise

Board- and regulator-ready reports, an executive dashboard, and AI FinOps.

Security & trust

Built to pass security review

What your CISO, legal and procurement teams ask for — by design.

🔌

Read-only integrations

Metadata, not payloads. Secrets masked and never logged.

🧱

Tenant isolation

Multi-tenant with per-tenant logical isolation; no cross-tenant access.

🔏

Evidence & audit

Tamper-evident evidence ledger and an append-only audit log.

26 connectors · 6 families · Runtime Assurance · AI FinOps · Board reporting.  Visit the Trust Centre →

Related reading: EU AI Act readiness → · AI governance for SAP →