That gap is where my work lives, and it is not a tooling problem.
Individual productivity is largely solved. Engineers have agents, editors that write most of the code, and a feedback loop that closes in seconds. Ask people on the team whether they are faster than they were a year ago and most of them will say yes, and they are usually right.
Then look at what the organization ships. It is not any faster. Work still queues behind the same decisions, the same approvals, the same handful of people who understand the system well enough to say yes. Individual speed went up and throughput did not move, because the constraint was never how fast anyone could write code.
That is the rung most teams are on now, and it is where the demand has moved. The question stopped being how to get people using this stuff. People are using it, output is visibly up, and nobody can point at what changed for the business. The bottleneck moved from the keyboard to everything around it: how work gets decided, how intent gets communicated, how review works when the code was not written by a person, and how anyone knows whether it is going well.
None of that is fixed by buying more tools, which is the part that makes it awkward. It is organizational work, and it is slower and less satisfying than a rollout.
I start by finding out where work actually stops, which usually means talking to people across the organization rather than only engineering, and following a few pieces of real work end to end. How it got decided, who reviewed it, what happened when it broke. The stall is rarely where the team thinks it is, and it is often not the thing I was brought in to look at.
Most of what I change after that is how intent moves through the organization. When an agent writes the code, the ticket carries the specification and review becomes a question about intent rather than syntax. Teams that never had to be precise about what they wanted now have to be, and a process built for humans reading each other's diffs does not get them there on its own.
I spend real time on measurement, because most AI adoption numbers measure activity. Seats, sessions, suggestions accepted. None of those tell you whether the organization got faster, and a program running on them will look healthy right up until someone asks what it bought. Picking a small set of measures that track outcomes, and being willing to look at them when they say something you did not want to hear, is usually what separates a change from a purchase.
And I work with the managers, because directing a team of engineers who are each directing a set of agents is a management problem before it is a technical one. Most of the people doing that job were promoted for something else. That part is coaching, one on one, against whatever is actually in front of them that week.
There are two shapes, and I will tell you on the first call which one I think fits.
A scoped project at a fixed fee. A defined outcome, a defined end, and a fee agreed before it starts. This is the right shape when the problem is specific: a review process that is not holding up, an adoption effort that stalled, a spend picture nobody can explain, an assessment before a decision gets made. You get the outcome and the engagement ends. If more work follows, it is either another project or it moves to the second shape.
A monthly advisory retainer with capped hours. A standing block of my time each month, capped so the cost is predictable on both sides and so I am not the person you are tempted to route everything through. This is the right shape when the work is ongoing: sitting with leadership as decisions come up, coaching managers, staying close enough to a change that it does not quietly unwind after the first quarter. It runs month to month.
Plenty of engagements start as one and become the other. What I am not going to do is tell you every engagement is different and leave you guessing at what working together looks like. It is those two, and if neither one fits what you need, I will say so.
Mid-market and larger organizations, often PE-backed, often carrying years of the way things have always been done, that know they are stuck and want to get unstuck. It is not for phase-zero startups or four and five person teams. That work runs on founder-led sales and deep domain knowledge, which is not what I would be bringing, and a team that small does not yet have the organizational problem I solve.
Grab time directly and we can talk through where the work is actually stopping. No form, no funnel.