The governance layer for AI agents in production
Block risky steps. Require human approval. Generate regulator-ready evidence.
Outcome
Audit-ready reports
Assurance
Tamper-proof trail
Speed
Fewer audit fire drills
The Control Loop
In regulated enterprises, AI cannot just 'work'. Every agent action must be reviewable, explainable, and exportable as evidence.
Govern
Keep humans in the loop
- Policy-as-code checkpoints
- Role-aware review queues
- Fine-grained permissions
Measure
Know how AI behaves
- Dynamic sampling & eval
- Bias & drift detection
- Feedback loops to models
Prove
Turn activity into evidence
- Tamper-proof audit trail
- Decision lineage + approvals
- One-click Evidence Room
Unified Control Plane
KLA connects to your AI agents, workflows, and data sources so you can operate them like any other critical system—with controls, observability, and documentation.
Agent Workspace
Operational console for AI agents across your business. Live and historical runs with full context, drill-down into prompts, documents, and decisions.
Process Designer
No-surprise orchestration. Attach guardrails to sensitive steps.
Analytics
Real-time view of performance, bias, and drift signals.
Audit & Compliance Studio
Searchable audit trail and Annex IV exports. Share Evidence Rooms with auditors in one click.
Deployment Sequence
From first AI agent to regulator-ready in four weeks. Start with one high-volume workflow, leave with a production-grade control plane.
Start from a proven template (optional)
Clone a pre-configured workflow with built-in policies and evidence capture to move faster.
Capture every decision
Connect one workflow. Every prompt, retrieved document, output, and approval is recorded with actor and timestamp.
Define controls and guardrails
Set policies: when to block, when to require human review, what to redact, and what to retain.
Monitor and improve
Use sampling to spot drift, hallucinations, and policy near-misses — with clear evidence attached.
Export the Evidence Pack
Generate an Annex IV-ready bundle documenting controls, monitoring, and audit trails for reviewers and auditors.
Industry Playbooks
Pre-configured controls for regulated environments. Start with the workflows where AI can save thousands of hours, but one bad decision is unacceptable.
Financial Services
Insurance
Healthcare
Public Sector
Latest Insights
Practical guides on EU AI Act compliance, AI governance, and building audit-ready evidence.
Accountable Autonomy: Human Oversight Models for AI Agents
The debate around human oversight is often framed as a false binary: humans review every decision or AI operates autonomously. Effective oversight is about having the right controls at the right moments with clear accountability. This is accountable autonomy.
AI Agent Audit Trails: From Logging to Evidence Packs
Every organization running AI agents has logs, traces, and metrics. Yet this abundance of data often fails to answer fundamental audit questions. The gap between operational logging and audit-grade evidence requires rethinking what we capture, how we store it, and how we verify integrity.
The Governance Bottleneck: Why AI Agent Adoption Stalls at Scale
Enterprise AI agent adoption is constrained not by technical capability but by governance capacity. Organizations can build AI agents faster than they can approve, monitor, and audit them. Closing this governance gap requires treating governance as enabling infrastructure.
Deploy AI with confidence — and evidence.
Pick one workflow, wire it through KLA, and leave the pilot with a production-grade control loop and a regulator-ready Evidence Pack.
Tamper-proof audit trail • Signed exports • Retention-friendly evidence