How a new professional standard turns a season of very public AI mistakes into a lasting advantage for consulting firms and the management consultants who adopt it
A Rough Year for AI in Consulting
Over the past year, some of the biggest names in professional services had a hard lesson in public. Deloitte’s Australian arm had to refund part of a government contract. A report it delivered included made-up academic sources and a fabricated court quote generated by an AI tool. A separate Deloitte report for a Canadian province ran into the same problem. The report citations pointed to studies that do not exist. KPMG had to pull a widely shared report on AI adoption after an outside review found that only five of its forty-five citations checked out. EY faced a similar situation with a report on loyalty program security.
None of these firms set out to mislead anyone. In every case, the pattern was the same: a consultant used a generative AI tool to help produce a deliverable. No one caught the errors before the report went out under the firm’s name. The tool did what generative AI tools do. It produced confident, well-written text and citations that looked real. The failure was not the technology. It was the absence of a clear, enforced standard for how a consulting professional must check deliverables before a client sees it.
The Code of Responsible Use of AI for Management Consultants Closes the Gap
This is exactly the gap the new IMC USA Code of Responsible Use of Artificial Intelligence for the Management Consulting Profession is built to close. IMC USA is adopting this Code from ICMCI, with only minor language changes to fit American usage. For our IMC USA Certified Management Consultants® (CMC®s) and our CMC® Candidate members, this is worth understanding well. The new Code of Responsible Use of AI changes what our credential means and what we can promise clients.
What the Code of Responsible Use of AI Requires of Management Consultants
The AI Code builds directly on the existing professional Code of Conduct (also supported by our Enforceable Code of Ethics). It sets out seven core principles that apply to how consultants and firms design, choose, and use AI systems. It addresses human responsibility and oversight, fairness and non-discrimination, transparency with clients, privacy and data protection, safety and robustness, accountability and documentation, and environmental sustainability.
A few requirements stand out because they speak directly to what went wrong at the firms mentioned above.
- AI does not lower the bar. The Code of Responsible Use of AI states plainly that using an AI system does not reduce or transfer a consultant’s professional responsibility. If a report goes out with the consultant’s name on it, the consultant owns every word, whether AI helped write it or not.
- Every AI-assisted output needs a human check. Before anything reaches a client, a qualified person has to review it, verify the facts, citations, and calculations, and be ready to explain how the result was produced.
- Submitting unreviewed AI work as finished professional work is treated as misconduct. The Code names this directly, alongside entering confidential client data into AI systems without proper safeguards and using AI to get around competence or assessment requirements.
- Clients need to know when AI materially shaped the work. Transparency is scaled to the stakes involved; routine tools do not need constant disclosure, but analysis or content that shapes a client’s decisions does.
These are not vague aspirations. Serious or repeated violations can trigger the same disciplinary process as any other breach of the Code of Conduct, up to and including suspension or loss of one’s CMC®designation.
The Code of Responsible Use of AI Is a Consulting Practice Strengthener, Not Just a Policy
The most useful thing about this Code is that it gives consultants and firms a concrete checklist, not just good intentions. It tells a practice exactly what oversight has to look like: independent verification of facts and citations, documentation of significant AI-supported decisions, clear internal ownership of AI governance, and training so consultants understand the limits of the tools they use.
Had a review process built around these standards been in place at the firms involved, fabricated citations and invented quotes would very likely have been caught before publication, not after. That is the real value of adopting this AI Code inside a practice. It is a discipline that catches mistakes before a client, a regulator, or a reporter does.
For solo practitioners and small, boutique firms especially, this Code of Responsible Use of Artificial Intelligence for Management Consultants offers real value. It offers a ready-made governance framework that does not need to be built from scratch. It scales to the size of the practice, so a one-person consultancy and a large firm are held to the same principles, applied proportionately.
The Code of Responsible Use of AI Is a Marketing Differentiator in a Crowded Field
Here is where this Code becomes more than an internal safeguard. It becomes a competitive advantage. The timing could not be better.
Every large firm now has some version of an internal AI principles page. Those statements are written by the firm, for the firm, and enforced however the firm chooses on any given day. What CMC® holders and IMC USA members can offer instead is fundamentally different. The IMC USA Code of Responsible Use of Ai is an externally set, internationally recognized standard, tied to a real credential, with real consequences for violating it. A client comparing two proposals can ask a simple, pointed question: is your AI governance a marketing page you wrote yourselves, or a professional standard you can lose your credential for breaking?
That question lands with extra weight right now. Clients, regulators, and journalists have spent the past year reading headlines about invented citations and fabricated quotes from firms most people assumed had airtight quality control. Trust in AI-assisted consulting work is genuinely shaken. A consultant who can point to the IMC USA Code of Responsible Use of Artificial Intelligence, their CMC® designation, membership in IMC USA, and IMC USA’s enforcement mechanisms is offering something scarce right now: verifiable proof of professional discipline, not just a promise.
This fits neatly into the broader case for the CMC® credential and IMC USA membership. The content of consulting work changes constantly, from strategy to digital transformation to AI advisory. What does not change is the value of management consulting standards that are independently set, publicly stated, and enforceable. The Code of Responsible Use of Artificial Intelligence is the newest, and arguably most timely, piece of that structure.
What This Means for IMC USA Members
Adopting the Code of Responsible Use of Artificial Intelligence for the Management Consulting Profession is not a paperwork exercise. It is a chance to tell a clear story to clients and prospects. Our members do not just use AI, they use it under a professional standard with teeth, one that was written specifically for this profession and that carries real consequences for getting it wrong.
In a year when some of the biggest names in the business had to publicly walk back reports built on invented sources, that story is worth telling loudly.
Sources: Fortune, The Register, CFO Dive, and Storyboard18 reporting on AI-related report errors at Deloitte, KPMG, and EY between 2025 and 2026.
DISCLOSURE: AI tools were used in drafting this message. All arguments, insights, original content, and final content reflect the author’s own judgement and responsibility.
About The Author, David Norman CMC®-AF, FCMC
The author, David T. Norman CMC®-AF, FCMC has almost 50 years of experience as a management consultant. He is the author of Supercharge: A New Playbook for Leadership. David coaches business owners beyond start-up to success and on to significance as Chair at The Consultants Peer Group (TCPG) and High Country Peer Group (HCPG). As CEO of David Norman & Associates he specialized in financial, operational and general management consulting services. David was the first recipient in the United States of the CMC®-AF, Academic Fellow of the international Council of Management Consultant Institutes (ICMCI) and is a FCMC, Fellow of the Institute of Management Consultants USA. Follow David on Linkedin and visit his website at DavidTNorman.com.
Excellent reflection and material, David, as it could not be different coming from you. Thanks a lot for highlighting the importance of the Code of Responsible Use of Artificial Intelligence for the Management Consulting Profession.