THE SHORT ANSWER
Map the workflow, decide what people should own, what AI may assist and what an agent may execute, then define permissions, evidence, human approval, quality checks, escalation, monitoring and recovery. Keep a named person accountable for the business outcome.
Allocate work by capability and consequence
| Work | Possible AI role | Human responsibility |
|---|---|---|
| Research and drafting | Retrieve, compare or draft | Frame, verify and decide |
| Routine system action | Execute within approved scope | Set permissions and monitor exceptions |
| Customer communication | Prepare or send bounded messages | Approve policy, sensitive cases and correction |
| High-impact decision | Supply evidence or an additional view | Exercise authorized judgment and provide recourse |
| Workflow improvement | Identify patterns | Choose objectives and redesign work |
Ask five managerial questions
- What should the human do?
- What should AI assist with?
- What may an agent execute?
- Who checks the result and handles exceptions?
- Who owns the outcome?
Redesign roles and capability, not only tasks
When AI changes drafting, analysis or coordination, managers should update workload, training, quality standards and career development. Hidden review work and exception handling still consume human capacity.
Vendor workplace research can identify adoption questions, but self-reported surveys and product telemetry do not establish one universal team model.
Evidence & context: Microsoft Work Trend Index · OECD
Connect management to workflow and governance
- Give agents minimum permissions and separate identity.
- Require approval for consequential action.
- Show reviewers the evidence and effect.
- Log actions and monitor outcomes.
- Define stop, fallback and recovery.
- Review whether the workflow still improves useful work.
Continue with AI Agent Permissions & Accountability, Human-in-the-Loop Automation and Working With AI Agents.
Evidence & context: NIST AI Resource Center
Sources & further reading
- AI Risk Management and Human-AI Interaction
NIST AI Resource Center. Official guidance on different human and AI decision roles and oversight. Appropriate reliance depends on context, consequence and system evidence.
- Agents, Human Agency, and the Opportunity for Every Organization
Microsoft Work Trend Index. A vendor study drawing on a 2026 self-reported survey of 20,000 workers across ten markets, including India, plus Microsoft product telemetry. Its collaboration framework is useful, but self-reporting and commercial context limit causal claims.
- Skills in the AI Age
OECD. A 2026 synthesis of cross-country evidence on AI adoption, task change and complementary skills. Country, sector and firm differences mean its findings do not produce one universal skills ranking.
Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.
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