Adaptive failure detection
Every workflow fails differently. Pisama adapts to yours.
Pisama matches known failure patterns to your workflow's own systems, recommends the fix, and applies it to production once a verified re-run confirms it holds.
Evidence boundaryTrace evidence can locate likely failures. It does not prove every real-world outcome. Verification outside the trace depends on access to reliable system APIs.
The closed loop
A workflow that fixes itself, built from your own failures.
Pisama closes the loop: match known failure patterns to your specific workflow's systems, recommend the fix, apply it to production once a re-run confirms it holds, and update the agent's own instructions so it does not happen again.
- 01
Adaptive discovery
A small set of known transaction-integrity patterns, like wrong-target charges or cross-system state drift, matched to your workflow's own systems and vocabulary.
- 02
Fix recommendation
Every finding ships with a proposed fix and the evidence that justifies it.
- 03
Verified healing
Apply the fix straight to the live workflow. An automatic re-run confirms it resolves the failure before it ships. Opt-in, always reviewable.
- 04
Harness update
The verified fix becomes an update to the agent's own instructions, so the same failure does not return.
Onboard your workflow and Pisama builds its taxonomy, fix recommendations, and guardrail updates from your own traces.
The foundation
Every adaptive loop starts with a trace.
- 01
Ingest the trace
Accept execution evidence from an AI agent run.
- 02
Detect failure patterns
Run available detectors against the trace.
- 03
Locate the failure
Point to the agent and step associated with the finding.
Detector coverage
105 detectors. Every status visible.
From missed instructions to actions without approval. Explore the failures Pisama detects, with an example for every one.
Updated September 21, 2026
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