You built your go-to-market motion at a specific moment in time.
You hired for it, structured your team around it, built your tech stack to support it, and set your targets against it.
That model made sense when you designed it. The question is whether it makes any sense now — because the environment it was built for has changed in three significant ways, and most GTM models haven’t absorbed any of them.
What changed while you weren’t looking
The first shift is productivity. AI has made a significant portion of revenue team work automatable. Research, first drafts, data entry, reporting, follow-up sequencing — tasks that previously required human hours now require human oversight at most. A rep spending four hours a day on these tasks in 2026 is operating at a fraction of their potential output. That fraction is costing you money every single day.
The second shift is buyer behaviour. The information environment has changed. Buyers research more thoroughly, evaluate more quickly, and have higher expectations of the commercial interactions they’re willing to have. Response time matters more. Personalisation matters more. Generic outreach performs worse than it did. Slow follow-up costs deals it didn’t used to cost. Your 2022 playbook was designed for 2022 buyers.
The third shift is the cost environment. After a period of growth-at-all-costs hiring, investors and boards are now focused on revenue efficiency. Revenue per headcount is a board-level metric in a way it wasn’t three years ago. A GTM model that requires continuous headcount growth to hit targets is a liability in that conversation, not an asset.
The compounding cost of doing nothing
Every quarter you run the 2022 model is a quarter where the gap between your team’s actual output and its potential output grows. Not because your team is getting worse — they’re probably working harder than ever. Because the benchmark for what a well-designed revenue team can produce keeps moving, and you’re measuring yourself against targets that don’t reflect it.
Your competitors who have recalibrated are generating more pipeline with the same headcount. Their proposals arrive faster. Their reps spend more time selling. That gap shows up eventually in win rates, in cycle length, and in the revenue per headcount number your board is increasingly focused on.
Eventually becomes sooner than most people expect.
What recalibration actually requires
It starts with an honest look at where your team’s time goes — not the process map version, the reality. Then it identifies which time sinks are addressable through workflow redesign and AI. Then it rebuilds those workflows with technology embedded from the start, not bolted on as an afterthought.
The result isn’t a smaller team or a transformation programme. It’s the same team — or a better-structured version of it — producing materially more output with less friction. Same cost base. Better numbers. That’s the conversation your board actually wants to have.
Still here? Good. You might be exactly my kind of client.
