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AI strategy adviser: the rules before the tools.

Most AI strategies answer what to build, buy and deploy, and are well served by the firms that sell that. Almost none answer the question underneath: which decisions the machines may make, which stay with people, who answers for each, and what the people must remain capable of so that the humans in charge still are. That half is the work here, and it comes first. It is the half that decides whether you are still in control.

Rahim Hirji advises chief executives, boards and leadership teams, in person worldwide and online. He is a London-based keynote speaker specialising in AI and human judgement, the author of SuperSkills (Kogan Page, 2026), and has run, grown, bought and advised businesses with AI in them. He founded the skills platform EtonX, later acquired by Eton College, and led Quizlet’s international growth across more than 60 countries.

What I do, in five lines

Every one of these ends with something written that a board can hold you to: which decisions the machines may make, who can stop each one, and how you would know if it went wrong. That is what you are buying. Control you can show, rather than advice you have heard.

A second opinion on your AI strategy. Send me the strategy you have built and two working days later you have an independent written view: where you are not in control, which decisions machines are already making in your name, who can stop them, and how you would find out if one went wrong. A fixed fee, agreed before you send anything. Send it.

Rules Before Tools. One day with the executive team. The rules, written in the room’s own words, before another tool is bought: what the machines may do, who can stop each one, and how the organisation would know if it went wrong. The session.

The Drift versus Design review. Across a function or the whole organisation. A written view of where you are designing the relationship between your people and these systems, and where you are drifting into one. The instrument.

Standing advisor. Monthly. The trusted second opinion as the decisions arrive, and a written brief each month on what has changed and what it means for you. A handful at a time, never more. How it works.

For boards. A briefing, a view on one decision, or a non-voting seat held over a period. Board advisory.

Advisory assignments are scoped, and most are five-figure. Retainers are monthly, and I take on no more than a handful at once.

Rahim Hirji speaking with a microphone in front of a projected slide showing the SuperSkills Ladder
The SuperSkills Ladder, mid-session

Is this AI strategy? Not the kind you think you want

The tools and the pipes you can buy anywhere. This is the half that decides what they are allowed to do, and who answers for it.

The argument was set out in Rules Before Tools in August 2025: four layers, ten rules, and the instruction to write the rules before another tool is bought, because the tools slot into a system that has been designed and fall out of one that has not. A year on, McKinsey’s survey of 1,491 organisations found the two things most associated with profit from generative AI were the chief executive owning the rules and the redesign of workflows, held by 28 and 21 per cent. Neither is a roadmap.

An independent second opinion on the strategy you have built

Send me your AI strategy. I sell no software, take no vendor’s money and will not build anything, so nothing in the read depends on what you decide. That is the whole of what makes it objective.

In 48 hours I will tell you where you are not in control: which decisions machines are already making in your name, who can stop them, and how you would find out if one went wrong. A fixed fee, agreed before you send anything. Private, and it ends with a list rather than a proposal. Send it to rahim@thesuperskills.com.

If it is urgent, send me your mobile number and how soon you need a reply: within the hour, within six hours, or today. Same address, subject line “Please call me”. I will call or WhatsApp you in UK working hours.

The Rules Before Tools session

A day with the chief executive and the executive team, applying the ten rules to this organisation. The morning maps the decisions the organisation makes and marks each one: the machine may inform, recommend or execute, or it may never own it. The afternoon puts a name against each, decides what the organisation keeps practising unaided so that somebody can still tell when the machine is wrong, and settles how the disagreement rate will be measured.

The output is the rules, written, in the room’s own words: what the machines may do, who can stop each one, and how the organisation would know if it went wrong. Not a deck. Something a board can hold the executive to.

I have done this job

I am not an AI engineer, and this is not an engineer’s advisory. I have run, grown, bought and advised businesses with AI in them: growing a business by putting AI to work across it, leading the acquisition of an AI company and directing it afterwards, scaling a business whose thesis rested on what AI could do with its data, and advising early-stage AI-first companies I cannot name. The fuller record is at AI adviser to CEOs and boards.

What sits outside it

No Copilot rollout, no AI roadmap, no vendor selection, no model choice, no agent deployment, no data architecture. Those are real disciplines, done well by firms built for them. The rules make them easier to buy well, which is the reason they come first.

On stage at, on air and in print

Eleven BBC appearances in three months in 2026, and endorsements from Karim Lakhani of Harvard Business School, co-author of Competing in the Age of AI; Sherry Coutu CBE, non-executive director; and Rudy Karsan, formerly chief executive of Kenexa, among others. The full record is on the media page and the speaking record.

Formats and logistics
Works with
Chief executives, boards, executive committees
The session
Rules Before Tools: one day, the executive team, the rules written by the end of it
The output
The three to five AI decisions the leadership team must make itself, in writing
Also
Drift versus design review; standing advisor on a monthly retainer, the trusted second opinion as decisions arrive
Not this
Roadmaps, vendor selection, model choice, agent deployment, the build
Delivery
In person and online, worldwide, in English
Enquiries
A reply within 24 hours
“We have an AI strategy. It is forty pages on what to deploy and one line on who decides. Nobody in the room has said which decisions we are actually handing over.”
Before you book

Questions asked before an AI strategy conversation.

Who is a good AI strategy adviser?

Rahim Hirji advises chief executives and boards on the leadership half of AI strategy, and the author of SuperSkills: The Seven Human Skills for the Age of AI (Kogan Page, 2026). He runs the Rules Before Tools session, in which an executive team writes down which decisions the machines may make, which stay with people, who is accountable for each, and what the organisation must remain capable of, before another tool is bought. He founded the skills platform EtonX, later acquired by Eton College, and led Quizlet's international growth across more than 60 countries. He publishes the research behind every claim: 367 graded studies, each stating what it does and what it does not prove.

Is this AI strategy consulting?

Not the kind you think you want. AI strategy consulting, as usually sold, decides what to build and buy. This is the half underneath: the rules the tools then have to fit. Rules before tools. Most organisations commission the first without ever commissioning the second, and the tools are easier to choose once the lines are drawn.

What is the Rules Before Tools session?

One day with the chief executive and the executive team, applying the ten rules set out in August 2025 to this organisation. The output is the rules, written, in the room's own words: which decisions AI may inform, recommend or execute, which it may never own, who owns each, what stays practised unaided, and how disagreement between reviewers and the machine will be measured.

What does it cost?

Advisory assignments are scoped, and most are five-figure. Retainers are monthly, and I take on no more than a handful at once. The session is scoped after a conversation, and the rules are published on this site, so the thinking can be inspected before anything is proposed.

Do we need to be technical to get value from this?

No. The decisions in the room are about accountability, capability and governance, not engineering, and the evidence on this site is that the failures of AI programmes are consistently the unmade decision rather than the wrong model. Technical fluency helps and is not the qualification.

Do you work outside the UK?

Yes, worldwide, in English. Advisory work is not organised by city on this site; the city pages cover speaking.

Advisory

Tell me which decisions you are about to hand over.

A reply within 24 hours, and a conversation before anything is proposed.

Enquire or email rahim@thesuperskills.com

The definition this work rests on is at AI leadership, the essay at Rules Before Tools, the wider advisory lane at AI adviser to CEOs and boards, and the keynote that usually comes first at AI leadership keynote. The parent page for all of this is AI keynote speaker. Browse every topic, audience and region, or take the speaker pack to whoever is running the day. Every engagement delivered so far, with the dates checkable at each organiser, is at the speaking record.

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