Runtime AI Control
for financial services and insurance.
Clairify offers software and models that check all AI outputs against policy, regulation, and authoritative data before they are sent to customers, creating compliance evidence for every output.
Why Now
AI adoption is accelerating. Oversight is not.
Financial services firms and insurers are moving quickly from AI experimentation to production. Customer support, promotions, claims and underwriting, collections, onboarding and complaints are all becoming AI-assisted.
Neither governance frameworks nor standard infrastructure logs can reliably answer the question:
Were the right controls applied to every AI output?
This is not just an AI quality issue. It is a governance, accountability, and evidencing issue.
Benefits
What Clairify delivers.
Explainable control and scaling AI safely
Controls are applied before AI outputs reach customers, not reconstructed after an incident. This allows firms to prove that customer outcomes, policy obligations, and regulatory controls are consistently applied and deploy AI at scale.
Regulator-ready evidence
Clairify records the full context of the AI output and what was checked. Each risk assessment links the output to the relevant rules, variables, interventions, and normative references. We demonstrate that controls are operating consistently across complex AI estates.
Faster sign-off for AI changes
AI teams can improve models, prompts, retrieval systems, and vendors. Clairify sits outside the model, so the same runtime controls keep checking outputs as the AI stack changes, giving risk and compliance teams the evidence they need to approve changes faster.
AI risk visibility across the firm
Clairify turns individual control decisions into a structured view of AI risk across the organisation. CROs can see where AI activity is creating conduct, compliance, or operational risk, whether controls are operating well, and how the firm's risk profile changes across business lines, models, and time.
Priority Use Cases
Used where AI output risk is highest.
Clairify is built for regulated workflows where the volume is too high for full manual review and the consequences of mistakes are significant.
Customer Support and AI-Generated Communications
AI-generated chat, email, letters, and product explanations need to be fair, clear, not misleading, and aligned with customer outcomes.
Sales Copilots and Financial Promotions
AI-drafted client communications about products, fees, suitability, or recommendations create live conduct and approval risks.
Insurance Claims and Underwriting
AI-generated explanations of claims, exclusions, pricing, or underwriting decisions need to reflect policy terms and regulatory obligations accurately.
Complaints, Disputes, and Payments
Incorrect explanations of customer rights, payment outcomes, authentication requirements, or dispute timelines can create regulatory and conduct risk.
Collections and Debt Management
AI interactions with customers in financial difficulty require careful control of tone, content, escalation, and vulnerability handling.
KYC, AML, Sanctions, and Adverse Media
AI summaries, screening explanations, and SAR-related workflows require strong audit trails and strict confidentiality controls.
Wealth and Investment Communications
AI-generated investment commentary, portfolio explanations, and adviser support materials create suitability, disclosure, and financial promotion risks.
The Control Gap
Existing controls leave an evidence gap.
Standard logs do not evidence control.
AI infrastructure logs show prompts, responses, timestamps, and metadata. They do not capture the contextual data needed to evidence compliance, for example whether strong customer authentication was completed, whether a policy was quoted correctly, or whether product information met Consumer Duty obligations. They also do not identify which controls were applied, whether they passed, or why an intervention was triggered.
Product Snapshot
A runtime control layer between AI systems and customers.
Risk Rules
A structured repository of deterministic rules.
Runtime Interventions
Checks AI outputs and proposed actions in real time.
Assisted Review
Review drafts for AI outputs that need human review.
Audit Log
A regulator-ready record of every assessment.
The Vision
Always-On Compliance.
Producing regulatory evidence today is time consuming, slow and necessarily incomplete. Compliance teams spend weeks assembling evidence for audits.
Clairify's vision is to check and evidence every regulator-relevant event in real time, whether produced by an AI system, a workflow, or a person.
Not flagged after the fact. Not reconstructed under pressure. Complete coverage.