Something is happening in consulting that most people haven’t fully clocked yet.
The obvious version of the story is about chatbots and automation — AI writing reports, AI summarising meetings, AI generating first drafts. That part is real, and it’s useful, but it’s not the interesting bit.
The interesting bit is structural. AI is changing what consulting firms actually sell, how they deliver it, and what their people spend their time on. And most firms haven’t noticed because the change is happening at the edges, one process at a time.
The Documentation Trap
Here’s a number that should bother every consulting firm MD: in a typical environmental consultancy, senior technical staff spend 40–60% of their time on documentation. Reports, assessments, regulatory submissions, formatting tables, chasing references.
These are the people the firm hired for their expertise — for the judgment calls, the site knowledge, the regulatory interpretation that takes years to develop. And they’re spending most of their week on work that AI can already do faster and more consistently.
The first firms to fix this won’t just be more efficient. They’ll be fundamentally different businesses. Their senior people will do more of the work that actually earns money. Their capacity will increase without hiring. Their margins will improve because the ratio of revenue-generating work to admin will shift.
Beyond Efficiency
But efficiency is only the first move. The real transformation is about what becomes possible when you free up that capacity.
A consultancy that automates its documentation burden doesn’t just save time. It can take on more projects with the same team. It can offer faster turnaround. It can invest in deeper technical work that differentiates it from competitors. It can build proprietary data assets that get more valuable over time.
This is the compounding advantage that most firms haven’t seen yet. Better systems create more capacity. More capacity enables better work. Better work attracts better clients. Better clients generate richer data. And the cycle accelerates.
The Three Futures
Every consulting firm is heading toward one of three futures, whether the leadership team has chosen one or not.
The Efficiency Squeeze. AI makes existing services faster and cheaper across the whole market. Margins compress. Clients expect more for less. The firms that haven’t automated are undercut by those that have. This is the default future — it happens if you do nothing.
The New Entrant. A tech-native company enters the market with an AI-first model. No legacy costs, no traditional overheads. They can’t match deep domain expertise yet, but they’re learning fast and they’re cheap. Every established firm has to decide how to respond.
The Transformation. You go first. You redesign your model around your strongest assets — domain expertise, client relationships, proprietary data — augmented by AI. You deliver more value with less effort. Your expertise compounds through better data and faster learning.
The firms that choose the third path will build advantages that are genuinely difficult to replicate. Not because the technology is secret, but because the combination of domain expertise, institutional data, and AI capability takes time to build. Start late and the gap widens.
What This Means Practically
If you run a consulting firm — environmental, engineering, professional services — the question isn’t whether AI will affect your business. It already is, even if the effects are still subtle.
The practical question is whether you’ll be deliberate about how it changes your model, or whether you’ll wake up in three years wondering why your margins are thinner and your competitors are faster.
The first step isn’t buying tools. It’s understanding your business clearly enough to know where AI creates the most leverage. Which processes eat the most time? Where does institutional knowledge get bottlenecked? What data do you have that nobody else does?
Those are the questions worth answering. Everything else follows from the answers.