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Courses/AI Consultant: From Assessment to Production/Build your AI Consultant Operating Model

Build your AI Consultant Operating Model

Your operating model is the small set of artefacts you keep for every engagement. It makes your judgement inspectable by the client and makes recurring work possible without relying on memory or a chat transcript.

The consulting dossier

  • Business brief: problem, owner, users, baseline and desired outcome.
  • Process map: trigger, inputs, decisions, actions, systems and handoffs.
  • Opportunity record: options, non-AI alternative, assumptions, ROI range and decision.
  • Risk record: data classes, permissions, failure modes, human approval and rollback.
  • Evaluation record: representative cases, expected result, actual result and reviewer.
  • Operations record: owner, monitoring, costs, incident path and review date.

Start deliberately small

For the first assessment, a shared document and a spreadsheet can be enough. The discipline matters more than the software. Do not use a CRM, vector database or agent framework merely to make the engagement look advanced.

Northstar dossier starter

Terminal
Engagement: Northstar quote-response assessment
Sponsor: Managing director
Process owner: Sales operations lead
Problem hypothesis: quote follow-up is delayed and inconsistent
Baseline needed: request timestamp, first response, quote sent, won/lost
Data boundary: anonymised historical requests only for assessment
Next gate: approve or reject a paid assessment scope
Review date: set with the sponsor

Practical mission

Create this dossier starter in a local Markdown file. Mark every field you do not know as an assumption. Do not fill gaps with plausible invented numbers.

What you should be able to explain

At the end of this module, you should be able to explain why the business outcome comes first, when an assessment is the right offer, how an engagement advances through gates, and what evidence you need before proposing an AI system.

How this course fitsOpen the map only when you need it.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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