Use Cases
AI agent governance for every team and workflow
From customer-facing chatbots to autonomous DevOps agents, Execlave provides the governance layer that makes AI agents safe for production.
Customer support agents
The risk
Support agents execute refunds, access customer data, and modify accounts — all from natural language.
How Execlave helps
Execlave enforces tool-level access control, cost limits per interaction, and PII scrubbing. High-value actions are routed through human approval workflows before execution.
Example policies
- Refunds capped at $500 without manager approval
- Block access to billing data for tier-1 agents
- Auto-detect and redact customer PII in trace logs
- Route account deletion requests through Slack approval
Internal operations agents
The risk
DevOps and IT agents run scripts, modify infrastructure, and access sensitive internal systems autonomously.
How Execlave helps
Execlave gates every action against time-based policies and environment restrictions. Production deployments require approval; staging is unrestricted.
Example policies
- Block production database writes outside business hours
- Rate-limit infrastructure changes to 10/hour
- Require human approval for any destructive operation
- Audit all SSH and API key access attempts
Data analyst agents
The risk
Analyst agents query databases, generate reports, and write summaries — often accessing PII and financial data.
How Execlave helps
Execlave enforces query-level governance: agents can read aggregated data but are blocked from accessing individual records or exporting raw datasets.
Example policies
- Allow aggregate queries, block individual record access
- Enforce daily query budget ($50/day compute cost)
- Auto-classify and block queries containing PHI or PII
- Time-restrict data exports to business hours only
Multi-agent orchestration
The risk
Orchestrator agents delegate work to sub-agents, creating chains of autonomous decisions that are hard to audit.
How Execlave helps
Execlave traces the full multi-agent execution graph, enforcing policies at every node. Agent-to-agent authorization ensures only approved agents can communicate.
Example policies
- Enforce agent-to-agent authorization (caller → callee)
- Limit orchestration depth to 3 levels
- Kill-switch any agent in the chain without disrupting others
- Full end-to-end trace across all agents in the workflow
See Execlave in action with your agents
Free tier. No credit card. Integrate in under 5 minutes with our JavaScript, Python, or REST API.