Day 1: Frame the Win
- Pick one business outcome (save hours, reduce tickets, improve conversion).
- Write a one-sentence user story and the success metric (for example: cut onboarding email volume by 30%).
- List the stakeholders who feel the impact and who can approve the change.
Day 2: Check Data Reality
- Inventory the data the use case needs: sources, owners, freshness, sensitivity.
- Score gaps quickly: missing fields, messy labels, privacy constraints, access friction.
- Decide if you can start with retrieval plus rules before training a model.
Day 3: Risks and Guardrails
- List top risks: bad answers, leakage, bias, uptime, auditability.
- Map a control per risk: input validation, PII redaction, rate limits, human review paths.
- Document what you will log for traceability: prompts, responses, decisions, overrides.
Day 4: Build the Thin Slice
- Decide the smallest shippable pilot: one flow, one channel, one narrow policy.
- Choose stack primitives: retrieval source, model family, orchestration, monitoring.
- Time-box to 1-2 weeks of effort with a named builder and reviewer.
Day 5: Go/No-Go and Run
- Review the slice against the metric from Day 1 and the risks from Day 3.
- Set a pilot window, success threshold, rollback plan, and communication notes for affected teams.
- Publish owners: product (what), engineering (how), compliance (guardrails), and analytics (measurement).
Templates to Reuse Next Week
- One-page use case brief: problem, metric, scope, dependencies.
- Data fit checklist: sources, gaps, sensitivity, retention rules.
- Risk-to-control matrix: risk, mitigation, owner, evidence to collect.
- Pilot scorecard: target metric, observed metric, decision (scale, iterate, stop).
Run this cadence every week: pick one use case, pressure-test it fast, and graduate only the ones with clear wins and guardrails.
- Avyrox Solutions