Listen. Map. Score.
Five days of structured interviews, workflow mapping, and a scored AI Readiness baseline across five dimensions: Strategy, Data, People, Process, Tools. Twenty-page report. Sixty-minute readout.
The Approach
One framework. Four steps.
The Approach is what makes Wingenious productised. Every engagement follows the same sequence; every step delivers a published deliverable; every deliverable is signed by Gary. It scales because it is documented, not improvised, and because an AI workforce executes under his direction.
● Documented · Repeatable Founder sign-off on every step Make.com + Claude Code + Anthropic + OpenAI
The four steps
Discovery. Strategy. Implementation. Support.
The same four steps every time. The Approach does not change shape to fit the client; the client decides which step to start at.
Rank. Cost. Roadmap.
Five candidate use cases ranked by effort, impact and risk. Each priced with a 12-month payback sketch. A 90-day delivery plan signed off by Gary.
Build. Implement. Measure.
First automation live in week one. Built on Make.com, or bespoke code via Claude Code, depending on the right tool for the task. Weekly demo. Honest dashboards. One named workflow end to end. 30-day stabilisation included.
Watch. Tune. Compound.
Monthly stewardship keeps the build, the automations and the team improving. Founder-led, AI-multiplied. Cancel month-to-month, no twelve-month lock-in.
Step 01 in detail
The five readiness dimensions, scored honestly.
An honest readiness score is harder than a glossy one. The Approach scores against documented standards, not vibes. Each dimension is scored 1 to 20; the report explains every point.
Strategy
Is there a written AI strategy signed by the founder or MD? Is it tied to commercial outcomes? Or is "do AI" a slide in a deck no one returns to?
Data
Where does the data live? Is it AI-ready or trapped in spreadsheets, PDFs, paper? Is it accurate enough to make decisions on?
People
Skills, attitude, training history. Is the team AI-curious or AI-anxious? Who is the first internal champion and who is the first sceptic?
Process
Documented workflows? SOPs? Repeatable enough to teach an AI agent how to do them? You cannot automate what you cannot describe.
Tools
What is the team already paying for? Where are the AI-shaped gaps? Where is the duplicate tooling that AI could simplify rather than add to?
All five scores combine into a single Readiness Index out of 100.
Why the Approach scales
Three engineered constraints, not three slogans.
Most consultancy "methods" are deck-ware. The Wingenious Approach is documented, repeatable, and built to scale beyond a single human: founder-led for now, AI-multiplied throughout, codified so the next operator inherits the discipline.
Constraint 01
Productised, not improvised
Five-day audit. Four-step delivery. Published prices. Named deliverables. The Approach does not rely on memory or improvisation: it is documented, every step.
Constraint 02
AI velocity × senior judgement
A named AI workforce (Alex, Alice, Alicia, Adam, Aaron, Abigail, all "A.I.") executes research, drafting, build, sales and account work under Gary's direction. Claude Code multiplies output four to five times; thirty years of digital strategy multiplies what is worth producing. Volume from AI, value from experience. Every engagement scoped against the value of the outcome; every workflow measured against impact and ROI. See Custom Build.
Constraint 03
Stack discipline
Anthropic, OpenAI, Make.com, and bespoke code via Claude Code where the build is genuinely custom. Production-grade, well-known, well-documented. No proprietary runtime that locks you in. Switchable if your team prefers different tools.
Start with step one
The Approach begins with the readiness audit.
Every engagement starts the same way: five structured days, twenty written pages, a sixty-minute readout. You walk away knowing what to do, whether you build it with us or not.