# Consulting Diagnostic

Stage: Client intake

Audience: Founders, AI buyers, and operations leaders

## Summary

A fast intake surface for turning an AI idea, vendor claim, or production concern into a benchmarkable consulting engagement.

## Buyer Problem

Most AI consulting starts too broadly. The diagnostic starts with the workload, risk, evidence, and decision deadline so the first sprint produces a concrete evaluation artifact instead of a generic strategy deck.

## Metrics

- Workflow risk
- Evidence gap
- First sprint
- Owner routing

## Deliverables

- Diagnostic memo
- Evidence request list
- First-sprint plan
- Owner handoff

## Buyer Questions

- What is the smallest benchmark we should run first?
- Which evidence is missing before production?
- Who should own the technical and sales-engineering handoff?
- How quickly can we get a decision artifact?

## Demo State

Live consulting intake demo is available; next step is connecting it to a real lead-capture backend and CRM workflow.

Demo readiness: 82/100

Missing for live demo:
- Product walkthrough video
- Client-approved example
- Real run export

## Connected Evidence

- [Consulting services](/consulting)
- [Case studies](/case-studies)
- [Contact the team](/contact)

## Visual Preview

![Consulting Diagnostic live Studio preview screenshot](/reports/studio/previews/consulting-diagnostic.png)