Runtime policy enforcement
for Enterprise AI.
Clairify gives risk and compliance teams real-time oversight, policy enforcement, and audit-ready evidence for every AI response.
Built for
Risk and compliance leaders in financial services deploying AI.
Why Now
AI adoption is accelerating. Oversight is not.
AI adoption in financial services is accelerating, but oversight is not keeping pace. High response volumes, limited context, and subtle AI errors make it hard for reviewers to reliably identify risks.
This is creating a growing gap between adoption and effective control.
At the same time, regulatory expectations are rising. Model Risk Management frameworks such as PRA SS1/23 and SR 11-7 require firms to demonstrate robust governance, validation, and control over AI models, with regulators under increasing pressure to enforce these standards.
The Problem
Challenges AI poses
Inconsistency
Testing and training alone cannot ensure AI avoids errors, bias, or regulatory breaches during runtime.
Evidence gap
Most firms cannot demonstrate that every AI response was reviewed within their risk and policy framework.
Autonomy barrier
Without scalable oversight, organisations cannot safely move toward greater AI autonomy.
Requirements
What effective AI oversight requires
Traditional policies and processes are not enough. AI requires runtime controls.
Runtime risk assessment
Validate every AI response against regulations, policies, and risks at runtime.
Human escalation with risk explanation
Escalate to humans and provide clear explanations of risks to support review.
Real-time policy enforcement
Block unsafe responses in real time.
Risk & context logging
Capture full decision context for defensibility and monitoring.
Pre-built risk model
A pre-built AI risk model that defines common risk scenarios and links them to regulations.
Risk rules editor
Enable risk and compliance teams to own and manage rules.
How It Works
Runtime AI Policy Enforcement
Clairify provides a Runtime AI Policy Enforcement engine and a pre-built AI risk model that enforces controls at the point of delivery.
Sits between AI systems and customers to enforce controls before responses are sent
Validates responses in real-time against applicable regulations, risks, and policies
Uses a pre-built domain risk model covering common financial services risk scenarios
Enables teams to extend the risk model with their own AI policies
Captures full response context across systems
Explains identified risks in clear summaries
Logs assessments and context for audit
Provides analytics on performance and risk trends
Runs in your environment for data protection and low latency
About Us
Built by compliance-driven entrepreneurs
The Clairify founders are serial banking technology entrepreneurs with deep experience in compliance-driven sectors. They previously built payment infrastructure and automated compliance processes at a global payments leader, working closely with risk leadership. Their latest venture provided global payment services for NGOs and charities, where extensive AI use and high-risk operations gave them first-hand experience managing AI risk.
Whitepaper
Runtime Governance: Closing the AI control Gap
A practical perspective on the governance challenges AI introduces and how financial institutions should respond.
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Speak to us
We are speaking with AI risk leaders to validate these challenges and share early insights. Are you a CRO, CCO, or AI governance leader with ambitious AI plans? We would value your perspective.
Speak with us