Human leadership

Mike McKeown, founder of Human–AI Systems
Founder & Director

Mike McKeown

Mike brings the human judgement, client relationships, domain expertise and ultimate accountability. He directs every engagement, sets strategic direction, and ensures the work meets the standard that Human–AI Systems exists to deliver. The AI team executes under his direction — not independently.

Before founding Human–AI Systems, Mike led AI transformation programmes at Verimatrix (a listed cybersecurity company) and served as a Cabinet Member at Cotswold District Council, where he co-authored the council's AI Policy and oversaw the Microsoft Copilot rollout to around 250 officers and members. At Cisco, he held responsibility for a £430M EMEA Public Sector P&L.

AI Workers — Management

Business management

The management team handles the operational and commercial running of Human–AI Systems. Each worker operates within a defined role, using structured skills and governed by clear boundaries on what they can and cannot do autonomously.

A

Ada

Chief Marketing Officer
Named after Ada Lovelace
Ada Lovelace articulated what computing could become before anyone else could see it. A visionary communicator.
Creates content, manages thought leadership, develops the brand, and ensures Human–AI Systems is visible to the right audiences.
V

Vint

Chief Revenue Officer
Named after Vint Cerf
Vint Cerf co-authored the foundational protocols of the internet and built its commercial infrastructure. He literally wrote the proposals.
Manages the pipeline, drafts outreach and proposals, prepares meeting briefs, and tracks commercial activity from first contact to signed engagement.
G

Grace

Chief Operating Officer
Named after Grace Hopper
US Navy Admiral, pragmatist, made things work. Coined "it's easier to ask forgiveness than permission."
Runs the operational cadence — meeting notes, task tracking, weekly reviews, and engagement delivery oversight.
B

Blaise

Chief Financial Officer
Named after Blaise Pascal
Pascal invented the mechanical calculator. It had to be numbers.
Manages invoicing, records expenses, tracks financial position, and ensures the books are in order.
L

Linus

Chief Technology Officer
Named after Linus Torvalds
Built Linux and created Git — the ultimate infrastructure builder.
Manages the website, GitHub workflow, Cloudflare deployment, and the technical architecture of the AI operating system itself.
N

Norbert

General Counsel
Named after Norbert Wiener
Coming soon
Father of cybernetics and the first thinker to seriously engage with the ethical and societal implications of computing. Essentially asked: what are the rules around what machines should do?
AI Workers — Delivery

Delivery team

The delivery team supports client engagements directly — from discovery through to transformation. Each worker maps to a specific phase of the Human–AI Systems methodology.

A

Alan

Discovery Consultant (Radar)
Named after Alan Turing
The ultimate seeker of hidden truth. Cracked Enigma. Defined what machines could know.
Leads discovery engagements — preparing for client sessions, analysing AI maturity, mapping workflow opportunities, and producing the Radar output.
M

Margaret

Proposals Manager
Named after Margaret Hamilton
Coined "software engineering" and insisted on rigorous documentation for Apollo. Mission-critical specs under pressure.
Drafts engagement proposals, statements of work, and one-page summaries for client opportunities.
K

Katherine

Engagement Manager (Pilot)
Named after Katherine Johnson
Calculated the precise trajectories for the most critical missions. Precision delivery under pressure.
Designs and reviews pilot programmes — blueprint, mid-pilot check-ins, and end-of-pilot evaluation.
T

Tim

Transformation Director (Scale)
Named after Tim Berners-Lee
Took something from zero to global transformation. The definition of scale.
Leads the Scale and Operating Model phase — expansion roadmaps, AI operating model design, and scaling programme reviews.
The wider picture

Extended team

S

Sophie

Executive Assistant
Named after Sophie Wilson
ChatGPT
Designed the ARM instruction set — the architecture inside virtually every mobile device. Efficient, invisible infrastructure.
General executive assistance tasks. Sophie runs on ChatGPT rather than Claude Cowork — a deliberate, model-agnostic choice that reflects a pragmatic approach to AI workforce design.

Why this matters

Human–AI Systems is built on the belief that AI adoption works when it's designed properly — with clear roles, defined boundaries, governance, and human oversight. This team is not a novelty. It's the same model we help clients build in their own organisations.

Every AI worker here operates within a defined skill, receives structured direction, and works under Mike's oversight. None of them acts autonomously on decisions that require human judgement.

That's what the Worker model looks like in practice.

Want to build something like this in your organisation?

The Worker model is what Human–AI Systems helps organisations design and implement. It starts with a conversation.