Built for Every
AI Stakeholder
Whether you are building AI, deploying it, governing it, or investing in it — OnTargetCompliance gives you the trust infrastructure you need.
Who Uses OnTargetCompliance
Four distinct stakeholder groups, each with specific compliance needs — all served by a single platform.
AI Developers
Ship compliant AI models from day one.
AI developers building models for enterprise or regulated markets need compliance built into the development lifecycle — not bolted on at deployment. OnTargetCompliance integrates with your MLOps pipeline to automate documentation as you build.
- ×Documentation requirements slow down model deployment
- ×Compliance teams block releases waiting for evidence
- ×Manual model cards and risk assessments are inconsistent
- ×EU AI Act obligations are complex and evolving
- Automated model card generation from training metadata
- Risk classification during model development
- CI/CD integration for continuous compliance
- EU AI Act Article 11 technical documentation — automated
- Model Card (EU AI Act compliant)
- Risk Classification Certificate
- Technical Documentation Package
- Dataset Governance Report
Enterprises Deploying AI
Govern AI at scale across your organisation.
Enterprises deploying AI across multiple business units face a governance challenge: how do you maintain consistent compliance standards across dozens of AI systems, each with different risk profiles and regulatory obligations?
- ×No centralised visibility of AI systems and their compliance status
- ×Inconsistent documentation standards across teams
- ×Audit preparation takes months and significant resources
- ×Board and regulator requests for AI risk reports cannot be fulfilled quickly
- Centralised AI system registry with compliance status dashboard
- Standardised compliance workflows across all AI systems
- One-click audit evidence pack generation
- Board-level AI risk reporting and executive summaries
- Enterprise AI Risk Dashboard
- Centralised Compliance Registry
- Audit Evidence Packs (per system)
- Board AI Risk Summary Report
Compliance Teams
Automate evidence generation. Focus on strategy.
Compliance teams are being asked to cover AI governance with the same headcount that managed traditional IT compliance. The manual documentation burden is unsustainable. OnTargetCompliance automates the evidence generation so your team can focus on risk strategy.
- ×Manual documentation takes weeks per AI system
- ×Evidence becomes outdated when models are updated
- ×Regulatory requirements are evolving faster than teams can track
- ×Audit preparation is reactive and stressful
- Automated evidence generation from Trust-Verified Nodes
- Continuous compliance monitoring with change detection
- Regulatory update tracking and obligation mapping
- Proactive audit readiness with gap analysis
- Automated Evidence Generation
- Continuous Compliance Monitoring
- Regulatory Change Tracking
- Gap Analysis Reports
Investors & Boards
AI risk visibility at board level.
Boards and investors are increasingly accountable for AI risk. The EU AI Act creates direct liability for deployers of high-risk AI. Boards need real-time visibility of AI risk posture — and the evidence to demonstrate governance to regulators and shareholders.
- ×No consolidated view of AI risk across the portfolio
- ×Cannot demonstrate AI governance to regulators or shareholders
- ×Liability exposure from non-compliant AI deployments is unclear
- ×Due diligence on AI investments lacks standardised evidence
- Board-level AI risk dashboard with real-time compliance status
- Regulatory liability exposure assessment per AI system
- Investor-grade AI governance documentation
- Due diligence evidence packs for AI investments
- Board AI Risk Dashboard
- Regulatory Liability Assessment
- Investor Governance Report
- Due Diligence Evidence Pack
See Your Use Case in Action
Book a demo tailored to your specific role and AI compliance requirements.
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