Prioritized, not dumped
Opportunity scoring can combine commercial importance, weakness, competitor advantage, source gaps, agreement, confidence, feasibility, and funnel severity.
Arachne turns agent-journey evidence into prioritized, verifiable work — from visibility and source gaps to broken interfaces, failed execution paths, and missing governance.
Every recommendation keeps its reason, evidence references, priority, and verification plan.
Filter the example queue, select an Action, and inspect the evidence and verification plan behind it.
| Capability | Workflow | Risk | Policy | Status |
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Source presence and content clarity matter. So do machine interfaces, authentication, invocation failures, completion gaps, and governance. Arachne can prioritize work across the same journey it measures.
Explore the full Agent Journey →Select a step to see how Arachne closes the loop without presenting observed improvement as proven causation.
Repeated observations, structural evidence, and stage coverage establish what is actually known — and what is still untested.
Opportunity scoring can combine commercial importance, weakness, competitor advantage, source gaps, agreement, confidence, feasibility, and funnel severity.
Actions retain finding IDs and evidence references so the recommendation can be traced back to the observations that produced it.
Each Action carries a verification plan so a later measurement can test whether the relevant evidence changed after remediation.
Run the structural scan now, then expand into managed AI measurement and full-funnel Actions when you are ready.