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Start from durable Axon topics across agents, workflows, and trust mode.
AI WorkforceA scheduled Agent failure policy separates recoverable issues, review-needed failures, and stop-required boundaries so background automation stays trustworthy.
AI WorkforceAn email summary Agent should make inbox work clearer, produce reply drafts, and stop before sending, deleting, committing, or handling sensitive messages.
AI WorkforceAn Agent permission change record makes expanded, reduced, temporary, and rolled-back permissions visible to the owner.
AI WorkforceAn Agent approval queue makes high-risk confirmations understandable by giving each request a reason, risk, owner, and expiry.
AI WorkforceAgent exception handling should be treated as product design. A useful Axon Agent knows when to continue and when to hand uncertainty back to a human owner.
AI WorkforceAn artifact acceptance contract defines deliverable path, evidence pack, quality rules, and rejection reasons so AI Agent outputs can be reviewed, reused, and repaired.
AI WorkforceReplayable AI Workflows make AI employees trustworthy by preserving the input class, Skill chain, artifacts, Trust Mode boundaries, and handoff evidence.
AI WorkforceGood Source Data fields move business variables out of long prompts, making Agent runs easier to validate, repeat, and improve.
AI WorkforceAgent workflow catalog hygiene keeps a team's Agents and Workflows useful as an operating map, not a stale automation inventory.
AI WorkforceAn Agent known issue register turns vague optimization notes into operating records: scope, affected artifact, workaround, owner, next review, and stop condition.