AI Usage Governance for Regulated Industries
Kirtonic is a governance control layer that oversees how AI models are used inside regulated organisations, enforcing policy, enabling human review thresholds, and generating audit-ready oversight across multiple LLMs.
Designed for financial organisations and other high-compliance environments.
Governance Queue
3 items pending review
LLM output review: Credit risk assessment
Model: GPT-4 Turbo
Model usage policy: Insurance underwriting
Model: Claude 3.5
Compliance check: Investment advisory
Model: Gemini Pro
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AI outputs governed today
Policy-Enforced AI Routing
Kirtonic provides a centralised governance layer for AI model usage. Apply model usage policies, risk thresholds, and human approval checkpoints before AI outputs are used in regulated environments.
Model Oversight
Monitor and control how AI models are used across your organisation
Policy Enforcement
Enforce usage policies, risk thresholds, and approval gates
Audit-Ready Oversight
Complete audit trail for every AI-assisted decision
No governance layer
AI model outputs flow directly into regulated decisions. No policy checks, no approval gates, no oversight. Issues surface after the damage is done.
No audit trail
Which model was used? Who reviewed the output? Under what policy? Without structured oversight, there is no defensible record of AI-assisted decisions.
Inconsistent oversight
Different teams, different models, different rules. Without a centralised governance framework, compliance gaps multiply across the organisation.
AI outputs are influencing regulated decisions across financial services, insurance, healthcare, and legal. Often with no structured governance, approval process, or audit documentation.
Works Without Moving Your Data
Kirtonic doesn't ingest, store, or process your datasets. The platform works with decision signals (scores, flags, recommendations) while your data stays in your existing systems.
Policy Rules
Define your own governance logic. Route decisions based on risk, model type, compliance requirements, or any custom criteria you set.
Human Review Thresholds
High-stakes AI outputs require human sign-off. Your compliance and risk teams stay in control of what gets approved.
Audit-Ready Documentation
Every AI decision logged. Every approval tracked. Complete audit trail for regulators and internal review.
Action Prevention
Blocks AI execution until governance conditions are met
API-First
Integrates with your existing AI stack in hours
What is AI Usage Governance?
A quick introduction to how Kirtonic helps regulated organisations oversee, control, and audit AI model usage at scale.
How AI Usage Governance Works
No data ingestion. Governance built in by design.
Route
All internal AI usage is routed through a central governance layer.
Enforce
Apply model usage policies, risk thresholds, and human approval checkpoints before outputs are used in regulated environments.
Log
Capture complete audit records including model used, prompt, output, confidence level, and reviewer action, ensuring defensible oversight.
Designed for Regulated Environments
A unified governance control framework for organisations operating under regulatory oversight.
Financial Services
Banks, asset managers, and payment providers under FCA, SEC, and MiFID II oversight.
Insurance
Underwriting, claims, and actuarial teams governed by Solvency II regulations.
Legal & Professional Services
Law firms and consultancies handling privileged information with strict confidentiality.
Healthcare
Clinical decision support and patient data workflows governed by HIPAA and GDPR.
Other High-Compliance Sectors
Defence, energy, government, and organisations where AI decisions require regulatory accountability.
Ready to govern AI usage?
Enforce policy, enable human review thresholds, and generate audit-ready oversight across your AI model usage.
Enterprise deployment • No data ingestion • Audit-ready oversight