The New Consulting
AI has commoditised advice. What clients pay for now is the outcome. Whether you are reshaping how you deliver inside a firm or moving into an operating role, here is what changes, what transfers and what you have to build.
Start here
Before you weigh the move, get an honest read on where you stand. Twelve questions, five minutes, scored in your browser: a straight verdict on whether your model still works under agentic AI, and the one move to make next.
Take the 5-minute check →The shift
Most consultants assume the transition is mainly about sector knowledge or technical skills. The real changes are about accountability, pace and how you define success.
What consulting gave you
Breaking complex situations into components and prioritising clearly is at least as valuable in fast-moving operating environments as it is in consulting.
Reading a room, building alignment and moving diverse groups toward a decision matters equally in board relationships, partner negotiations and team leadership.
The ability to write a tight, well-structured memo that explains a complex situation is rarer than it should be in tech, and genuinely valuable.
The discipline of getting things right, not just good enough, is something consulting builds well, and it carries into product quality, process design and governance.
What you need to build
Use products hard. Talk to users. Form an opinion about what makes something genuinely useful, not analytically defensible, but useful.
Learn how weekly planning, delivery review and team rituals work not as methods to understand, but as disciplines to live week over week.
In consulting, the client pays the invoice. In tech, the product has to earn the revenue. Build a feel for what drives commercial performance.
Shipping something that is 80% right and learning from it is often better than waiting for perfect. This is a genuine mindset shift, not just a process adjustment.
Pitfalls
Treating the operating role like a consulting project: defining the problem and moving on.
Underestimating the people side: hiring, culture, retention, development.
Expecting the organisation to behave like a consulting firm: fast, structured, accountable.
Jumping into tech because it sounds exciting, rather than because you want to build something specific.
Dismissing what consulting gave you: structured thinking and stakeholder discipline are genuinely valuable.
Moving too fast through the learning phase: product and operating instinct take time to develop.
From the source
I made the transition after more than a decade at EY, becoming a Consulting Partner and leading complex programs across government and private sector clients. The consulting discipline was genuinely valuable. But inside EY I had already started building: founding EY Growth Solutions, launching the MBRIF Accelerator, creating propositions and products rather than just recommendations.
The move to RAI Digital and Infinite PL was the shift from intrapreneurship to full operating responsibility. Building Infinite PL, a logistics technology venture, took everything I had learned from consulting, plus a set of skills I had to pick up along the way.
The argument about AI and consulting has been about the bottom of the model, and the change that matters is happening at the other end, where the hand-off between the people who decide and the people who deliver is running out of reasons to exist.
The billable hour was always a measure of effort, not value, and AI has broken the link between the two. Why so few firms can leave it, and why moving to outcomes is an operating-model change long before it is a pricing one.
The 2026 results season turned a two-year argument into a set of hard numbers. Here is what the annual reports and the share prices actually say, and what they mean if you buy consulting, work in it, or run a firm.
Whether you are rebuilding how you deliver inside a firm or moving into an operating role, get in touch for a practical conversation.
