Financial institutions are deploying AI faster than their control functions can govern it. Arthiq trains the people accountable for that gap — risk, compliance, model-risk and audit — on the failure modes that actually draw regulatory attention.
AI engineering depth applied to how regulated financial firms work, brought into the room that owns the decision.
Ideal for: Head of Compliance · CRO · CISO · Head of Internal Audit · Head of AI
Not the failures that make headlines — the quiet ones that pass review, because they arrive looking exactly like a correct answer.
A model states a figure or a rationale in the same assured tone whether it derived it or invented it. Reviewers calibrate to the tone, not the evidence.
Nothing announces that a model's inputs have shifted. Accuracy decays for months while the control document still describes day one.
A reviewer approving hundreds of outputs a day with no practical way to check any of them is a signature, not a control.
For Boards, audit committees, CROs, Heads of Compliance and MLROs at banks, payments, asset managers and digital-asset firms.
Challenge an AI or crypto risk decision in your own firm — and ask the questions that surface real exposure before it becomes a headline.
For Heads of Compliance, MLROs, and compliance monitoring and assurance teams inside regulated financial firms.
Supervise the AI your business has already deployed — with a control framework, a risk register, and the questions that surface real exposure.
For Internal and IT audit teams, audit partners, and audit professionals.
Plan and run an audit of an AI system — its governance, its operation, and the tools to actually test it.
For Financial-crime, AML/CFT, fraud and investigations teams in banks and digital-asset firms.
Put AI to work on detection and investigations safely — knowing where it sharpens your team and where it quietly fails.
For Compliance, legal, risk and security-governance teams asked to review AI agents and automation before they go live.
Review an AI agent before it is approved — how it gets attacked, how it fails silently, and which controls actually hold.
For General counsel, in-house legal teams, legal operations and paralegals.
Set your firm’s rules for AI use, contract for AI properly with vendors, and use AI in legal work without risking privilege or accuracy.
For Model-risk, validation, data-science oversight and second-line teams.
Challenge, validate and sign off AI and machine-learning models with a clear, defensible process.
For Compliance, legal, risk and strategy leaders preparing for new AI rules.
Map the AI rules coming at your firm and build a practical plan to be ready before they bite.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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