We look at AI the other way round.
Starting from what we want it to do for people, not what it can replace.
We help companies, institutions and countries build their AI with human benefit at the heart, then measure what comes back.
It is a net figure, like carbon or cash. A single number that says whether the technology inside an organisation is adding to people's lives or quietly draining them.
Right now nobody publishes it. Boards report the savings; the losses land on people and never appear on a page. So the losses keep happening, not from malice, but because nothing counts them.
What gets measured gets designed for.
Put the human return on the scoreboard and technology will start optimising for it, with exactly the same enthusiasm it now brings to cutting cost.
We put people back into the plan, then prove it happened. Today that is advisory work inside your organisation. Next it becomes a standard you can be certified against, intelligence you can subscribe to, and evidence anyone can cite.
We come inside your organisation, find out what your AI is actually doing to the people in it, and rewrite the plan so they get something back. Practical, measurable, yours to keep.
The first certifiable standard for what technology returns to people: audited criteria, independent assessment, a public registry.
Every AI regulation, standard and framework on earth as a graph, not a list — where jurisdictions align, where they collide.
The evidence engine: the first study modelling what AI does to human connection two generations forward.
A machine will take tasks. Whether it takes your job depends entirely on what your employer counts as your contribution. Measured on volume of output, a model beats you before lunch. Measured on what you add and give back, judgement, trust, relationships, care, the ability to be wrong out loud and fix it, you become the part of the business that can’t be bought off a rate card. This is an argument about the metric, not the machine.
We are, and it started long before AI. Classes, meetings, doctor’s appointments, even catching up with friends all moved onto screens, because screens were cheaper than getting people in a room. Now AI can handle the routine stuff on those screens, the forms, the admin, the standard answers. Which leaves one thing machines can’t do: actually being with another person. Real face time is about to become the most valuable thing an organisation can offer.
An agent can already write the essay and sit the exam. Every remote assessment we built in the last decade is now unprovable. Which means the things institutions quietly stopped funding, seminars, oral defence, teaching a person in front of you, being in the room — are the only credible evidence anybody learned anything. AI didn’t end the classroom. It just made showing up mean something again.
Every hour AI saves belongs to a human. We can make sure it arrives for you.
Technology does exactly what you ask of it. Ask only for faster and cheaper, and that's what you'll get... along with less training, less conversation, less human contact, because nobody asked to keep those.
But ask for two things; save money and give people something back and it delivers both. We can help you do this whether you are an SME, an enterprise, a university or a government.
We baseline what your technology currently returns: human contact time, time freed and where it went, how humans work together on final outputs.
Accredited assessors audit you against the Standard's criteria. Verified human-in-the-loop evidence becomes your safe harbour — insurance your board understands.
Certified organisations join the public registry and carry the mark — the signal to customers, regulators and talent that your technology leaves people net better off.
Illustrative entries — real certifications are published in full, including the ones that lapse.
Twenty years across government, education and enterprise with the last several spent answering one question: how do we make sure AI leaves people better off?
Appointed by a Premier to lead a nation's AI strategy. Adviser to Big Four firms. Builder of institutions for the AI economy.
Founder of Net Human.
Every AI system that talks to a person must now disclose it is not a person — and the EU deliberately did not prescribe how. We published the disclosure methodology as a free public good.
We help you deploy AI, write policies and strategies with humans and the heart and bring your people along.
START A CONVERSATION →Be assessed against the Standard and carry the mark when it launches.
JOIN THE WAITLIST →Early access to the live map of every AI regulation, standard and framework.
GET EARLY ACCESS →Research institutions, funders and collaborators for the founding evidence.
BECOME A PARTNER →Advisory engagements for 2026 are open now. The first audit in your industry sets the benchmark everyone else is measured against.
Email tamsin@nethumanco.com — we reply within two working days.