The End of “Trust Us, Our People Are Better”

Professional services firms have spent decades saying their people are their greatest advantage. Australia is starting to show what happens when buyers stop accepting that on faith. AI could make the rest of the world ask the same question much sooner than anyone expects.

“Our people are our greatest asset” may be the safest sentence in professional services. Consulting firms say it. Technology integrators say it. Outsourcers say it. Managed service providers say it. The message underneath is basically the same: our people are better, our experts are more experienced, our judgment is worth paying for, and that is why you should choose us over somebody cheaper.

I have spent most of my career around technology, certifications, sales, and professional services, and I started questioning that logic a long time ago. When IT certifications exploded in the late 1990s and early 2000s, brain dumps were everywhere. People could memorize exam questions, pass legitimate certification tests, collect impressive letters after their names, and still have no business doing the work those credentials were supposed to represent. I still see traces of it today. Someone posts certification after certification on LinkedIn, and I sometimes catch myself wondering: Do you ever actually do any of this?

That is not an attack on certification. I have plenty of them myself. Credentials can absolutely tell us something. The problem is everything we allow them to become afterward. Evidence that someone passed an exam becomes evidence of knowledge. Knowledge quietly becomes proficiency. Proficiency becomes competence. Competence becomes “Senior Consultant.” A day rate gets attached. The proposal goes out. The client signs.

Somewhere in that progression, a signal became a commercial promise.

And nobody stopped to ask whether the evidence was strong enough to carry all that weight. That question has become central to what I am developing through Skills Forensics™: What can we actually defend as true about capability, based on the evidence we really have? The deeper I go, the more convinced I become that professional services may be where that question stops being philosophical and starts becoming brutally commercial.

Australia Is Making the Claim Harder to Hide

Australia offers a fascinating early signal. The Australian Government has used the Skills Framework for the Information Age, SFIA, for years and has continued to renew its whole-of-country license with the SFIA Foundation. The Australian Public Service uses a framework for workforce planning, while the Digital Marketplace Panel 2 uses SFIA and public-sector role data to classify ICT labor-hire opportunities.

The interesting part is not simply that Australia chose SFIA. I love SFIA, but a framework alone does not prove that someone can perform. What a common capability language does is remove some of the fog. “Senior Consultant” is a label. A defined capability requirement is something you can challenge.

Once the buyer can describe what the work actually requires, the conversation changes. What did we ask for? What did the supplier claim? What evidence supported that claim? Who actually showed up? What were they capable of doing? Did the delivery justify the promise?

Australia’s current Digital Marketplace performance framework includes a remarkably simple idea: whether seller personnel actually possess the expertise claimed during the tender process. A capability claim was made during the sale. A client relied on it. Money changed hands. People arrived. Now somebody can ask whether what showed up bears any resemblance to what was promised.

The professional services industry has spent decades making that connection far more loosely than most customers probably realize.

The economics explain why it matters. An Australian National Audit Office review of four Digital Transformation Agency contracts examined rates for 22 contractor positions. Six exceeded the maximum daily rate previously approved for that supplier, and 19 of the 22 were above the relevant published market-rate ranges. Another ANAO review looked at an Accenture engagement supporting Australia’s My Health Record program. Accenture’s 2022 tender response included a rate card it said would be based on SFIA. For 57 percent of the roles compared, Accenture’s previous rates were 23 percent higher than the SFIA rates on average. A later charging arrangement was estimated by the agency to produce roughly 17 percent savings, although some of that benefit was expected to be offset by travel costs.

None of that proves fraud. I have not found defensible evidence that Australian consulting firms were systematically caught passing juniors off as senior consultants, and I am not interested in manufacturing a more outrageous story than the facts support.

The real story is more important:

Once capability has structure, price becomes harder to hide behind prestige.

“Principal Consultant, $3,000 per day” sounds authoritative. But tell me what the engagement actually requires. Tell me what that person is supposed to be able to do. Tell me the level of autonomy, complexity, judgment, and responsibility required. Tell me what evidence supports the claim. Now the title is no longer enough. Now the rate has to survive contact with the capability.

From Capability Claims to Evidence Fitness

One experimental idea I am developing through Skills Forensics is a Capability Claim Chain:

Requirement → Claim → Evidence → Delivery → Outcome

Can we trace an important capability claim from the business need all the way through to what actually happened? Start with the requirement: what actually has to be done, under what conditions, at what level, and why? Then the claim: this person, team, supplier, or human-AI combination can do it. Then the evidence: what gives us the right to believe that? Then delivery: who actually performed the work, and under what circumstances? Finally, did reality support the original claim?

Follow that chain backward through a typical professional-services proposal and things get uncomfortable quickly. The proposal says an architect is “highly experienced.” What does that actually mean? Ten years in a role? A certification? Three projects? A partner recommendation? An impressive CV? What did the person actually do on those projects? What was done by teammates? What was inherited from templates? What was corrected by management? What was produced by subcontractors? What was increasingly done with AI? How recently was the capability demonstrated, and was it demonstrated in an environment anything like mine?

There is an even nastier question underneath all of that: what if the requirement itself is wrong? You can rigorously evaluate somebody against a useless requirement and still produce a useless answer.

That is one reason I am experimenting with another Skills Forensics concept: Evidence Fitness. More evidence is not automatically better evidence. A résumé may be authentic but weakly connected to the claim. A credential may be legitimate but narrow. A manager’s opinion may be well-informed yet biased. A work artifact may look extraordinary while telling you almost nothing about the individual’s actual contribution.

Evidence has to fit the question. How direct is it? How recent? How relevant? What context did it come from? Who created it? Can the source be trusted? Is supposedly independent corroboration really just five systems repeating the same original assertion?

Ten weak signals do not magically become the truth just because someone put them into an AI model.

Sometimes the most scientifically honest conclusion will also be the one executives hate to hear: we do not have enough evidence to know…yet. I would rather put uncertainty in front of a board than give them false confidence dressed up as precision.

AI Is Going to Force the Question

This entire conversation becomes much more urgent when professional services firms compete with AI-native delivery models. Imagine a traditional provider bidding $5 million for a transformation while an AI-native competitor says it can produce a similar outcome for $1.5 million. The incumbent’s response will probably be some version of “our people are better.”

Maybe they are. But now that statement has a price tag attached.

If you want the customer to pay millions more for human capability, somebody should be able to explain exactly what that premium buys.

Show me where human judgment materially changes the outcome. Show me where experience prevents expensive mistakes. Show me where relationships, influence, creativity, accountability, or contextual understanding create value the cheaper alternative cannot reproduce. Then show me something even more interesting: what happens when those same humans become dramatically more capable because they are exceptional at using AI.

I live this question every day. I have worked with AI closely enough that it has observed an enormous amount of my professional work: how I write, sell, challenge assumptions, build strategy, develop partnerships, make decisions, and change direction when something is not working. That gives me a fascinating future Skills Forensics experiment: what can John do, what can AI do, and what can John + AI do?

Not who is smarter. Not who “wins.” Take the same meaningful piece of professional work. Define the requirement, the conditions, and what success actually means. Then examine the evidence. Which operating model can actually be relied upon to deliver?

That feels much closer to the future of capability than another debate about whether someone has “AI skills.”

Australia has not created a universal capability-audit mandate. But it does show what becomes possible when capability language, supplier claims, pricing and performance are connected.

Professional services companies can wait until customers demand more evidence, procurement forces greater transparency or governments build stronger controls. Or they can wait until an AI-native competitor walks into their biggest account, dramatically undercuts them and forces the client to ask the question they should have been prepared to answer all along:

Why are your people worth more?

I would rather get there first. I would want to walk into that client meeting and say, “These are the capabilities your outcome actually requires. This is why those requirements matter. These are the people and AI systems we propose using. This is the evidence behind what we claim they can do. This is where the evidence is weaker. And this is how you should hold us accountable for what happens next.”

That is not a prettier rate card. That is trust made visible.

For decades, professional services firms have asked customers to believe their people are worth the premium. Right now, they still have the opportunity to turn proving it into a competitive advantage before somebody else turns it into a condition of doing business.