Who We Are
Hello!How I built the AI‑Inclusion service and framework from lived experience, not abstract theory
Our StoryThis is the real story of how one neurodivergent EDI founder used AI, limited resources, and 12 months of rapid prototyping to create the UK's first AI‑Inclusion consultancy—and why lived experience matters more than perfect plans.
Built from lived experience. Powered by AI inclusion
How I built the AI‑Inclusion service and framework from lived experience, not abstract theory
It Started With a Question
I asked myself a fundamental question:
Can one person, working with a single virtual assistant for around 10 hours a week, successfully build a lean, sustainable company while learning AI automation and developing new service offers – without burning out or reproducing the exclusion patterns I'm trying to fix?
This wasn't academic. It was urgent. I wanted to test whether it was possible to build something meaningful with minimal resources, maximum intentionality, and a commitment to equity from the start. I decided the only way to answer that was to make myself the first client and document everything.
What followed was a year of live, messy experimentation. Not a neat research study. Not a polished case study. Just: here's what happened, here's what I noticed, here's what it revealed. The AI‑Inclusion work started with me—a neurodivergent, bootstrapped founder—using AI heavily for one year to build an inclusion‑focused company. Limited time, limited money, and a part‑time virtual assistant. A commitment to keep notes on what worked, what broke, and what felt unsafe or unfair. During that year, AI made a lot possible: fast drafting, new ideas, complex frameworks, and many prototypes. It also exposed major risks: overproduction, overwhelm, decision fatigue, and the gap between what one person could create and what others could understand or deliver.
Three Crises Converging
-
![Professional holding laptop with abstract digital design elements representing innovative technology solutions]()
EDI Was Under Attack
The DEI work I'd spent years in was being politically undermined. Unconscious bias training was proven ineffective. Organisations were stepping away from DEI, reframing it as "too political" or "too risky". But the work of equity – the real, urgent work – didn't disappear. It evolved. It just wasn't being named or supported anymore.
-
!["Smiling businesswoman at desk with laptop surrounded by colorful connectivity icons representing virtual assistance and automation]()
AI Was Exploding With Zero Strategy
At the exact same moment, organisations started deploying AI at speed. ChatGPT. Claude. New tools every week. But no one was asking: Why are we using this? Who benefits and who gets left behind? What stays in human hands, no matter what? The tools were accessible. The frameworks weren't.
-
![Hand holding magnifying glass over target with business growth icons representing strategic EDI consulting and measurable outcomes]()
Social Mobility Became the "Safe" Pivot
UK organisations shifted focus from broad DEI to "safer" social mobility work – partly as a political move away from the DEI backlash. But here's what I noticed: class alone doesn't explain how AI affects people. Neurodivergence, race, gender, disability, immigration status – these all shape how someone engages with new technology. You can't separate them. But organisations were trying to.
Our StoryThe insight: These three crises – EDI backlash, AI chaos, social mobility as a silo – looked separate. But they were actually one crisis. And no one was addressing it holistically.
That's what I set out to do.
THE FOUR PHASES
From Hypothesis to Framework
12 months of building, breaking, learning, and rebuilding. Here's how it unfolded.