AI GRC for Financial Services
We build AI GRC frameworks that turn AI from Risk to Revenue.
AI is transforming your business faster than your governance can keep up.
Most organisations lack AI governance talent, and large consultancies rarely offer practical solutions. We help you design and operationalise AI GRC — policies, controls, assurance, oversight and workflows — that work in your reality, not just in a slide deck.
The gaps are real, and the costs are accelerating:
of AI Pilots Fail
MIT research found 95% of enterprise generative AI pilots fail to produce measurable financial returns.
of Financial Firms Can't Hire
BCG research reveals two-thirds of financial institutions struggle to hire AI talent.
Shadow AI Breach Cost
IBM reports breaches involving unauthorized "Shadow AI" cost organizations $670,000 more on average.
Are Fully Integrated
A mere 1.6% of firms have fully integrated AI into their governance, risk, and compliance frameworks.
Where Does Your Organisation Sit on the AI GRC Maturity Curve?
What we typically see
Most organisations — even the highly regulated ones — show:
- 2–4 hidden blind spots
- Shadow AI exposure in unexpected areas
- Fairness & data controls weaker than leaders assume
Most leaders believe they sit around B-.
Reality for the sector is closer to C+.
The AI GRC Accelerator Framework
A structured, three-pillar model aligned to global regulatory expectations and internal audit standards, helping you embed responsible AI without slowing innovation.
Pillar I – Governance
The Visibility & Accountability Gap
Most firms run AI at scale without a clear line of sight on who owns the risk, which models truly exist (i.e., "Shadow AI"), or how decisions are escalated. This creates a fundamental accountability void and silent systemic risk that leadership often discovers too late.
G — Know What AI Does
(Transparency • Visibility • Accountability)
What You Get
- A fully operational AI Governance Charter aligned with MAS, HKMA, FCA, and EU AI Act expectations
- A production-ready Model Inventory with classification rules
- A decision and escalation matrix that removes ambiguity across the three lines of defence
→ You gain governance clarity in weeks, not months.
Pillar II – Risk Management
The Detection & Control Gap
AI-native risks—such as model drift, proxy discrimination, and third-party data leakage—are invisible to traditional operational risk frameworks. Most firms lack the modern controls or testing methods to meaningfully detect, measure, and control these new, automated threats.
R — Control What AI Can Do
(Defense • Risk Controls • Safe Operations)
What You Get
- A sector-tailored AI risk taxonomy covering 30–40 unique AI risks
- A library of AI-specific controls, including drift detection, explainability checks, and human oversight points
- A continuous monitoring pack deployable across all model families
→ You move from compliance-driven risk activity to true, measurable risk control.
Pillar III – Compliance
The Assurance & Evidence Gap
Regulators (EU, MAS, HKMA, FCA) no longer accept narrative explanations. They require firms to prove that AI is safe, fair, and auditable. Without a repeatable audit trail and robust validation evidence, firms cannot meet this burden of proof, failing both internal audits and external examinations.
C — Prove You Can Trust It
(Assurance • Compliance • Validation)
What You Get
- Pre-audit checklists aligned with EU AI Act, MAS FEAT, FCA AI Guidance
- A compliance evidence pack for every model, eliminating last-minute documentation crises
- A lightweight audit workflow that supports ongoing supervision
→ You reduce regulatory exposure and eliminate surprise audit findings.
Industry Plug-ins: Designed for Your Sector
Financial subsectors face unique AI risk pressures. Our plug-ins provide tailored insights, controls, and risk considerations for your industry.
Banking
- Algorithmic Fair Lending: Managing "proxy discrimination" risk in credit models (e.g., digital redlining).
- Legacy System Constraints: Fragmented data in silos cripples data governance and increases integration risk.
- Strategic Deposit Disruption: Threat from agentic AI autonomously moving deposits, eroding net interest margin.
AI GRC Accelerator Toolkit
A suite of practical micro-tools that help financial institutions operationalise AI governance, risk and compliance—within weeks.
A lightweight set of structures that bring clarity and accountability to AI adoption.
Model Inventory Lite
A fast, organisation-wide view of every AI system.
Governance Committee Pack
A ready-to-run executive decision body for AI oversight.
Risk Appetite Statements
Clear boundaries for acceptable and non-acceptable AI risks.
Book Your Exclusive 60-Minute AI Risk Readiness Scan
An exclusive, high-level review of your AI operating environment to identify your top blind spots and provide immediate quick wins.
Book Your Exclusive Scan →
Fully confidential, no-obligation, and no sales pitch.
Just actionable insights tailored to your specific challenges.
What You Will Receive:
- A C-Suite Ready Maturity Snapshot: Your custom 9-dimension radar, visually benchmarking your exact position against industry peers.
- An Immediate Threat Diagnostic: We identify your top 3 unaddressed risks (e.g., Fair Lending, Suitability) specific to your sub-sector.
- A "Day One" Action Plan: A clear summary of actionable quick wins you can implement immediately to reduce risk.