AgentWatch

Monitor every AI agent after launch.

AgentWatch tracks KPIs, hallucination risks, cost drift, prompt regressions, user feedback, approval rates, and anomalies across every Ikhora deployment.

Who it's for

Every Ikhora client.

The problem

AI agents drift after launch without monitoring, evaluation, or improvement.

How it works

Input sources

Agent logs
User feedback
Performance data
Cost data
Quality metrics

Output artifacts

KPI dashboards
Drift alerts
Cost reports
Quality scores
Regression tests
Escalation alerts

Core features

KPI dashboards
Drift alerts
Cost monitoring
Hallucination checks
Approval rate tracking
Regression tests

Integrations

All Ikhora products
Slack
Email
PagerDuty
Monitoring tools

Human approval and safety

Every AgentWatch implementation includes human-in-the-loop approval workflows. Critical actions, outputs, and decisions are routed for human review before execution. This ensures quality, maintains control, and builds trust.

Review
Examine AI-generated outputs before they move forward
Approve
Confirm and authorize critical actions and decisions
Execute
Approved outputs move to your tools and systems

KPIs improved

Agent reliability
Cost control
Quality maintenance
Drift detection

Pricing signal

Final pricing depends on data complexity, integration depth, compliance requirements, usage volume, and support needs.

Setup
Included
One-time implementation
Monthly
Included
Managed operations
Platform Path

The infrastructure layer for all Ikhora agents.

Every AgentWatch implementation is built on the Ikhora platform layer, which includes orchestration, knowledge retrieval, human approval, integrations, AgentWatch monitoring, and continuous improvement.

Explore the platform

Ready to see AgentWatch in action?

Book a demo and see how AI can transform your workflow.

Book a AgentWatch demo