Sample deliverable · AI Ops diagnostic
What the diagnostic gives you
This is the format of a real diagnostic, filled in for a fictional company so you can see exactly what you'd get. The company, people and figures are invented for illustration.
1. The memo
- To
- CEO and COO, Harbor Point Media (fictional)
- Re
- Where AI agents should start, and what it's worth
Recommendation: start with clipping and social packaging for the two daily news shows. It has the most hours at stake, low rights risk, and output a producer can approve in minutes. Hold promo cutdowns until brand rules are written. Do not automate ad ops reporting until the ad server data is reconciled.
Value: about 120 producer hours a month back, against a monthly run cost well under the value of those hours (illustrative; see the ROI calculator method).
Main risk: silent pipeline failures. A monitoring agent ships on day one, not later.
2. Workflow scoring
| Workflow | Hours / month | Automatable today | Rights and brand risk | Easy to check | Call |
|---|---|---|---|---|---|
| Clipping and social packaging | 210 | High | Low | Yes | Start here |
| Archive transcription and tagging | 90 | High | Low | Yes | Phase 2 |
| Promo cutdowns | 60 | Medium | Medium | Partly | After brand rules |
| Ad ops reporting | 45 | High | Low | No, data unreconciled | Fix data first |
| Rights and content ID tracking | 30 | Medium | High | Partly | Phase 3 |
3. The first agent team
One job per agent, a written brief for each, and one human approval gate.
4. The 90-day rollout
| Days | What happens | Done when |
|---|---|---|
| 1–15 | Write the clip rubric and "never clip" list with the producers; set up transcription and monitoring | Rubric signed off by the EP |
| 16–45 | Agents run beside the team; producers approve or reject every clip | First-pass approval above the agreed target |
| 46–75 | Agents take over daily volume; producers move to twice-daily batch approval | Hours returned are measured, not estimated |
| 76–90 | Readout to leadership; decide on phase 2 (archive tagging) | Go or no-go on the next workflow |
5. Sample weekly ad ops report
Once the data is reconciled, an agent produces this every Monday. Figures are illustrative.
| Platform | Viewing hours | Fill rate | Zero-revenue days | Flag |
|---|---|---|---|---|
| Platform A | 41,200 | 78% | 0 of 7 | None |
| Platform B | 9,800 | 52% | 2 of 7 | Fill dropped week over week; check ad markers |
| Platform C | 3,100 | 64% | 1 of 7 | Low discovery; promo plan needed |
Want this for your company? The AI Ops diagnostic produces this full pack from your real workflows. You can also see the clip pipeline demo running on public footage.