Consistent verdicts at volume
Every case is judged against the same criteria, so the outcome no longer depends on which person or team happened to handle it.
— Sales & Growth
Ends in a Go / Go with changes / Hold verdict, a human approval and a prediction record that names the Model version it rests on.
2–3 weeks → ~25 minutes
Including the external research pass
No coding required
— USE CASES
Every case is judged against the same criteria, so the outcome no longer depends on which person or team happened to handle it.
Each verdict arrives with the policy or contractual basis behind it, so it can be explained to a customer, an auditor or a regulator.
Cases that cross a risk, value or authority threshold are routed for human approval rather than quietly decided.
Clear-cut cases are resolved in minutes so specialist time goes to the genuinely difficult ones.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Current external sources on the pipeline in scope are researched during the run rather than recalled from training data, and every source travels with the output.
The run pauses for a person to confirm the accounts that matter before the deliverable is composed.
Findings on the pipeline in scope are written up as a document that reads like professional output, with each claim tied back to a account.
Decisions like this one are made dozens of times a week, and the answer still depends on who picked up the case. In practice it shows up as consistent verdicts at volume: every case is judged against the same criteria, so the outcome no longer depends on which person or team happened to handle it. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 2–3 weeks of senior time whenever it comes round.
Here the same job runs as a Skill. Your material goes in; a clear verdict with the reasoning and policy basis shown comes out, alongside escalation or sign-off triggered where thresholds are crossed. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 2–3 weeks down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Campaign Prediction Engine exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
Client Health Pulse
Keeps a standing weekly read on the health of every client account, scoring each one on the signals that actually predict trouble, tracking how it moves over time and putting the accounts that need attention in front of the person who owns them.
Forecast risk & pipeline hygiene audit
Tests every open deal for stalled activity, unholdable close dates, single-threading and missing next steps, then computes the forecast dollars at risk and an action list per rep.
Churn early-warning & save plan
Combines NPS movement, ticket velocity, usage drop-off and billing changes into a churn score per account, then drafts the save play with the ARR at risk quantified.