From the meLink team
Tag: AI governance
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AI Revocation Paths Keep Automation Accountable
AI revocation paths let teams withdraw an assistant’s authority safely, preserve useful service, and keep every change accountable.
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AI Shadow Mode Lets Teams Learn Before It Acts
AI shadow mode lets teams compare proposed AI actions with real decisions before automation touches customers, commitments, or operations.
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AI Error Budgets Keep Automation Honest
AI error budgets help teams decide which automated mistakes are tolerable, which need review, and when to pause and improve…
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AI Role Drift Turns Helpful Assistants Into Risk
AI role drift turns helpful assistants into undeclared decision-makers. Use role cards, change triggers, and boundary tests to keep control.
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AI Decision Receipts Make Automation Easier to Trust
AI decision receipts show what an assistant decided, what it used, and who can correct it – making automation easier…
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AI Work Sampling Shows What Dashboards Miss
AI work sampling helps teams review real completed AI tasks, spot weak signals early, and turn findings into safer operations.
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AI Service Catalogs Make Automation Buyable
An AI service catalog gives every AI capability a job, owner and boundary, helping small teams turn experiments into reliable…
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AI Sunset Criteria Keep Experiments Honest
AI sunset criteria help teams scale, redesign, or retire AI pilots with evidence, clear ownership, and a safe fallback path.
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AI Office Hours Build Better Team Habits
AI office hours turn real work into shared AI habits, helping small teams learn faster without losing judgment, privacy or…
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AI Output Contracts: Make Agents Easier to Use
AI output contracts turn agent responses into reviewable decisions, with evidence, limits and a clear next owner.