Skip to content
Courses/AI Consultant: From Assessment to Production/Consultant, developer, or automation agency?

Consultant, developer, or automation agency?

The same company may need advice, implementation, or an ongoing operated service. Confusing those roles creates vague scopes, hidden dependencies and unhappy clients. Name the role before you name the stack.

Three distinct offers

  • Consulting: diagnose the situation, frame options, quantify trade-offs and recommend a decision. The client may build internally.
  • Implementation: build an agreed solution with explicit acceptance criteria, integrations and handover.
  • Managed improvement: monitor a working system, review changes, run evaluations and improve a defined workflow over time.

Northstar decision

Northstar has no clean data inventory and no agreed definition of a qualified sales lead. Selling an autonomous follow-up agent today would be irresponsible. A short assessment is the correct first offer because it can establish what exists and whether a safe pilot is worthwhile.

Scope by decision gate

Every engagement should end in a client decision. Examples: approve a paid assessment, approve a contained prototype, pause because the baseline is too weak, or select a non-AI process change. A decision gate protects both the consultant and the client from endless discovery.

Terminal
Initial assessment exit criteria
- One process map accepted by its owner
- One baseline metric with a source
- Data classification and access constraints recorded
- At least one option compared with a non-AI alternative
- A written go / change / stop decision

Practical mission

For Northstar, write one sentence explaining why an assessment is a better first engagement than an implementation. Then write the condition that would justify moving to a prototype.

Common failure

Do not call a discovery chat an assessment if it produces no evidence, scope or decision. A friendly conversation is useful; it is not yet a professional deliverable.

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.

View full catalogue