Map PMM work into AI-led, AI-augmented, and human-led workflows

Create an Airtable table of recurring product marketing work across research, positioning, launches, enablement, competitive intelligence, pricing support, analyst relations, customer evidence, reporting, and internal collaboration. Add fields for task name, owner, frequency, current tools, inputs, output artifact, audience, cycle time, quality risk, approval requirement, and current pain. Include the boring work people quietly hate, such as deck updates, battlecard refreshes, launch status notes, and repeated internal requests. QA check: review the inventory with at least one PMM, one sales stakeholder, and one product stakeholder so the list reflects real work, not just leadership assumptions.

Use Claude to classify each task as AI-led, AI-augmented, human-led with AI support, or human-driven. Score every task on repetitiveness, judgment required, data availability, brand risk, customer risk, approval need, and measurable time savings. Keep strategic work such as positioning, segmentation, pricing narrative, and category POV under human ownership even if AI can assist with research or drafting. QA check: any task that touches claims, pricing, customer commitments, or public messaging needs a named human review gate.

Classify this PMM task inventory by AI fit.

Task inventory:
{{task_inventory}}

Company context:
{{company_context}}

Risk tolerance:
{{risk_tolerance}}

For each task, output:
1. Recommended classification: AI-led, AI-augmented, human-led with AI support, or human-driven
2. Why this classification fits
3. Repetitiveness score from 1-5
4. Judgment required score from 1-5
5. Data availability score from 1-5
6. Brand or customer risk
7. Required human review gate
8. Suggested tools
9. Estimated time savings
10. Workflow candidacy: pilot now, later, or avoid

Do not recommend full automation for high-risk strategic decisions.