PM view
Workflow allocation
Which workflows earn the next dollar of AI spend, which waste it, and which playbook moves the number — blended portfolio return is 8.6x.
Workflow ledger
Annualized · sorted by return
| Workflow | Spend | Attributed value | Return | vs. blended | Move |
|---|---|---|---|---|---|
| Engineering | $486K | $6.42M | 13.2x | +53% | Expand |
| Data Science | $174K | $1.49M | 8.6x | 0% | Hold |
| Legal | $212K | $1.74M | 8.2x | -5% | Hold |
| Product | $96K | $0.54M | 5.6x | -35% | Review |
| Support | $398K | $2.11M | 5.3x | -39% | Review |
| Marketing | $132K | $0.61M | 4.6x | -47% | Review |
Highest-leverage interventions
Proven playbooks ranked by measured lift — adoption is the fastest way to move a workflow's return without new budget.
Contract risk extraction pass
3.0x lift
Two-pass review: structured risk-flag extraction, then targeted deep-dive. Compresses review cycles.
Legal · 28% adoption — every point of adoption is measured lift left unclaimed
Front-loaded context framing
2.4x lift
Spend 30–40% of context on structured problem framing before requesting output. Reduces iteration cycles.
Engineering · 42% adoption — every point of adoption is measured lift left unclaimed
Escalation triage template
2.1x lift
Operationalize a top agent's triage prompt into a team-wide template for faster first-contact resolution.
Support · 54% adoption — every point of adoption is measured lift left unclaimed
Staged decomposition with checkpoints
1.9x lift
Break complex tasks into staged prompts with intermediate validation. Each stage's output becomes the next stage's context.
Engineering · 37% adoption — every point of adoption is measured lift left unclaimed