How do you map human tasks versus AI tasks?
By Matilda Rydow
Categories: AI Agents, Organisation & Operating Model, Implementation & Security
Mapping tasks is about protecting quality and reducing risk while scaling repetitive work. A practical model has three levels: - Expert mode. Hard decisions, big money, high risk, for example budget allocation, claims, brand risk, and pricing. - Oversight. The agent can run but must be reviewed, for example campaign iterations or certain analysis steps. - Release control. Low risk, easy to roll back, clear guardrails, for example summaries and first drafts. Many forget that agentification is process design. If you just drop an agent into a step without changing ownership, checkpoints, and measurement, output gets faster but not necessarily better.
How do you map human tasks versus AI tasks?
Mapping tasks is about protecting quality and reducing risk while scaling repetitive work. A practical model has three levels:
- Expert mode. Hard decisions, big money, high risk, for example budget allocation, claims, brand risk, and pricing.
- Oversight. The agent can run but must be reviewed, for example campaign iterations or certain analysis steps.
- Release control. Low risk, easy to roll back, clear guardrails, for example summaries and first drafts.
Many forget that agentification is process design. If you just drop an agent into a step without changing ownership, checkpoints, and measurement, output gets faster but not necessarily better.