Financial Services AI Compliance

AI in banking, lending, wealth & investment — audited against SR 11-7, MiFID II, and the EU AI Act

Everything financial beyond payments — retail and commercial banking, credit and lending, wealth management, and algorithmic trading — faces a layered compliance stack. The EU AI Act does not replace MiFID II or SR 11-7; it sits on top of them. None offers a model-complexity exemption.

Finance at a glance iDharma
$35M+ Cumulative EU enforcement
EU AI Act fines issued across financial-services AI deployments in 2025–2026
MiFID II EU conduct obligation
Algorithmic and AI-assisted trading must be fully auditable — no complexity exemption exists
Aug 2026 Verify with EU AI Office
High-risk AI system obligations take full effect — financial AI is directly in scope
Measured against NIST AI RMF ISO/IEC 42001 EU AI Act HIPAA SOC 2 India DPDP

What we audit

AI systems in scope for Finance

Every system below is covered in a standard iDharma engagement. Complex or multi-system deployments are scoped on request.

Credit-scoring & lending models

Underwriting, credit-risk (PD/LGD), and adverse-action decisions — proxy-discrimination testing, explanation quality, and ECOA/FCRA compliance.

AI-assisted investment advice

Suitability algorithms and robo-advisory models — MiFID II conduct requirements, client explanation rights, and EU AI Act conformity.

Algorithmic trading systems

Audit-trail completeness, decision reconstruction, circuit-breaker documentation, and MiFID II Article 17 compliance.

Retail & commercial banking AI

Segmentation, churn, early-warning, and product-recommendation models — fair treatment, data governance, and transparency obligations.

Regulatory frameworks

What we audit against

Every iDharma Finance engagement maps simultaneously against the frameworks below — producing one gap register, not three separate reports.

EU AI Act — Annex III (High-Risk)

Financial-services AI making or influencing creditworthiness, insurance, and investment-suitability decisions is classified high-risk. Conformity assessment required before deployment.

MiFID II — Article 17

Algorithmic trading firms must have effective systems and risk controls. Every algorithmic decision must be fully auditable and reconstructable.

SR 11-7 Model Risk Management

US bank regulators confirm this guidance applies to machine-learning models. Independent validation, conceptual-soundness review, and performance monitoring are baseline expectations.

Our methodology

How an iDharma audit works

We do not accept vendor documentation as evidence, and we do not produce checkbox compliance reports. Every audit gives you a named auditor, a cited methodology, and a straight answer on where your AI stands.

01

We run a single unified audit against SR 11-7, EU AI Act Annex III, and MiFID II — not three separate workstreams.

02

We produce one technical documentation package that satisfies both SR 11-7 validation requirements and EU AI Act technical-file requirements.

03

We independently verify accuracy claims by requesting test data, evaluation methodology, and ground-truth construction — not just accepting vendor reports.

04

Our gap register is ordered by legal priority across all three frameworks simultaneously, so your remediation effort addresses the highest-exposure items first.

Get started

Operating AI in banking, lending, or investment?

The free Risk Snapshot identifies which obligations apply to your specific deployment and where your highest-priority gaps are.

Your situation

“AI is already making finance decisions — with no independent proof it holds up.”

In 1–4 weeks

One prioritised gap register mapped to the frameworks you answer to — signed by a named auditor.

Scoped before you pay — nothing is charged until you approve what the engagement covers.