AI delivery starter checklist

Every engagement starts with a simple checklist. It keeps us honest, stops scope creep, and makes sure the model is the right tool for the job.

1) The usefulness test

If the feature disappeared tomorrow, would anyone notice? We write a single paragraph user story and keep it in front of the team. Anything that doesn’t support that story gets parked.

2) The data trail

We write down where the data is coming from and how often it updates. If any source is manual, we note the owner and the acceptable lag. A tiny table helps the team stay aligned:

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export const dataPlan = [
  { source: 'event-stream', freshness: '5m', owner: 'data platform' },
  { source: 'crm', freshness: '24h', owner: 'rev ops' },
  { source: 'annotations', freshness: 'weekly', owner: 'product' },
]