what it is

Advisory is short, focused support to help you make better decisions on data, AI, and tech—quickly and with clarity. It’s designed for moments where you don’t need a full project, but you do need an experienced point of view to avoid costly detours.

when it’s useful

• you need to sanity-check a plan, architecture, or vendor proposal
• you’re comparing tools (BI, data stack, AI platforms)
• you want to define an MVP scope for a data/AI product
• you’re preparing an internal roadmap or board update
• you’re stuck on data definitions, governance, or “what to do first”
• you want benchmarks or best practices for your situation

How it works (3 steps)

1. Intake

   A short brief (problem + context + what decision you’re trying to make). If needed, you share a few documents/screenshots.

2. Working session

   A structured call to clarify assumptions, trade-offs, risks, and options (with a clear recommendation).

3. Output

   You receive a concise written summary you can reuse internally.

What gets delivered

• Decision memo (1–2 pages)

  Recommendation, reasoning, trade-offs, and next steps.

• Options comparison (if relevant)

  A simple table: cost/benefit, risk, effort, vendor fit.

• Scope definition (if relevant)

  MVP scope, success metrics, timeline, and required inputs.