Advisor-in-a-Box
An AI-readiness assessment platform: questionnaire in, scored and benchmarked client-branded roadmap report out.
Overview
A web app that turns my AI-readiness assessment process into software. A consultant fills in a 16-question questionnaire for a client and instantly gets a scored profile, a benchmark comparison, and a client-branded roadmap report — shareable at a stable URL, print-ready for handover.
Problem
AI consulting engagements tend to start the same way: understand the business, assess where it stands, prioritise what to do first. Doing that by hand for every client is slow, inconsistent, and hard to compare across engagements. And the client walks away with a slide deck instead of something they can revisit.
Solution
The assessment is structured into four dimensions — Strategy, Data, Technology & Tools, People & Process — scored deterministically, so the same answers always produce the same result. Scores map to a readiness band and a benchmark comparison, and the output is a branded report with 5–10 prioritised recommendations grouped into Now / Next / Later phases. Everything runs locally: no accounts, no cloud, no client data leaving the machine.
Lessons learned
Deterministic scoring beats an LLM for this job. Clients trust a score they can trace back to their own answers; consistency across clients is what makes benchmarks meaningful at all. The AI leverage was in building the tool, not inside it — it was built by a multi-agent Claude Code team from a spec.
Future improvements
A self-serve mode, so a business can get an initial readiness score before we ever talk — and real (anonymised) benchmark data as engagements accumulate.