Agentic systems under control
Give agents freedom inside explicit operating boundaries.
Layer8 Adaptive treats agent work as a durable, inspectable process rather than a chain of prompts hidden inside application code. The SALTI-B Engine controls exploration, validation, repair, confidence, and escalation.
Durable state instead of fragile prompt chains
Each run has an identity, versioned definition, state, events, artifacts, retry limits, and final disposition. Workers can recover from interruption without repeating billable or consequential steps blindly.
Separate generation from validation
An agent should not be the sole judge of its own output. Specialist validators can inspect different failure channels, and a weakest-link gate can hold the run when one critical channel fails.
- Bounded tool and model execution
- Independent specialist validators
- Reason-coded repair operators
- Human escalation with evidence attached
Measure automation by safe completion
The useful metric is not how often a human disappears from the loop. It is how often the system completes correctly within policy, how quickly it recovers from known failures, and how effectively it escalates the rest.
Frequently asked questions
What is a governed AI agent?
A governed AI agent operates within enforceable permissions, tool boundaries, budgets, validation rules, audit requirements, and escalation paths.
Why use durable workflows for agents?
Durable state allows agent runs to survive timeouts and worker failures, avoid duplicate actions, preserve evidence, and resume from known checkpoints.