This hub is designed for people who can create technical value but want a stronger system for selling, diagnosing, delivering and expanding consulting work.
Typical users include:
- independent AI consultants;
- founders launching an AI consultancy;
- small AI or technology consultancies;
- MSPs and IT consultancies adding AI services;
- technically strong founders who have limited formal consulting experience;
- established consultants who want a more repeatable diagnostic method.
You do not need a large-consultancy background
You may know how to build an agent, integrate an API or automate a workflow but still be unsure how to:
- choose the right client problem;
- run an executive discovery call;
- distinguish a painful problem from an interesting one;
- scope a paid diagnostic;
- price work without simply multiplying a day rate;
- select the right stakeholders;
- turn evidence into a defensible recommendation;
- present findings to a CEO, CFO, COO or CTO;
- convert a diagnostic into implementation work.
Those are learnable consulting skills. The Academy is built around them.
Where Iris fits
Iris gives you a structured way to gather and analyse evidence about how work currently happens. It can support stakeholder evidence capture, process understanding and opportunity development. You remain responsible for professional judgment, validating conclusions and deciding what should actually be recommended.
Do not use Iris as a substitute for understanding the client’s commercial objective. A technically impressive diagnosis that is disconnected from the buyer’s priorities will still be difficult to sell.
Which stage are you at?
Starting: define your market, offer and credibility.
Selling: improve discovery, qualification, pricing and proposals.
Delivering: standardise your diagnostic and executive communication.
Productising: make the service repeatable across clients.
Scaling: build recurring revenue, partner capacity and team processes.
What to do next
Open Learning Paths and choose the route closest to your current bottleneck. 
