Why it was needed
The problem
Small businesses hear about AI every day and rarely know where it fits in their own operation. The organization's consultants needed working tools to show them, and a way for new consultants to perform like seasoned ones.
Most owners do not need a lecture on language models. They need someone to look at how their business runs and say where AI pays for itself, where it does not, and what to do first.
The system
What I built
Consultations that end in a plan
I take the call and learn how the business really runs. Then I research their operation and come back with a concrete plan: what to automate, where to start, and which software or AI fits versus what would be a waste of money.
Web apps with AI features
Practical applications built for member businesses, with the AI wired into the workflow instead of bolted on the side.
Workflow automations
Automations that remove the repetitive work a small team does by hand every week, connected to the tools the business already uses.
Build, then coach the team
Systems are stood up on the business's own data. Then I coach the team until they can run and extend them without me.
SME Whisperer, the consultation co-pilot
A real-time desktop assistant that listens during live client calls and guides the consultant in the moment: what to ask next, how to steer, which points to hit.
Read the SME Whisperer case study
Step by step
How it runs
Discover
A call with the owner and the people who do the work, to see how the business runs today.
Research
A deeper look at their operation and the tools they already pay for.
Plan
A concrete recommendation: what to automate, where to start, and what to leave alone.
Build
The web app, automation or agent, built on their own data.
Hand over
Coaching for the team until they can run it and extend it themselves.
Where the judgment went
The hard parts
Plain language
Owners and operations teams are not engineers. Every recommendation is explained without jargon, including the ones that say do not buy this.
Steering, not only building
Part of the job is pushing back. Some ideas cost more than they return, and the owner should hear that before they spend the money.
What came of it
The outcome
Ongoingengagement, extended as the program grows
- Member businesses see AI working in their own workflow.
- New consultants guided live, from their first calls.
- An ongoing engagement, extended as the program grows.