The big picture

Agentic GTM: a working field guide · Jon McInerny · review copy · Last revised Sept 25, 2026, 2:50 PM ET

A working field guide that curates the latest thinking on autonomous GTM to inform strategic conversations on AI-led transformation. Written by Jon McInerny: twenty years selling enterprise data management and SaaS, now building with AI and pressure testing this with the people who live it. Input welcome.

The big picture

What the analysts, the vendors and the operators are saying, pulled into one place. None of it is original to me. What is mine is the selection, the arrangement, and the working tools near the end; where I take a side, the guide says so.

AI agents are moving into every part of how companies find, win and keep customers. Adoption looks inevitable. Value does not. Analysts expect agents to be everywhere within a few years and also expect a large share of projects to fail, mostly for unglamorous reasons: unclear business value, cost, weak risk controls, data that is not ready, and nobody who owns the outcome. The consulting research says the transformations that succeed are the ones an organization is ready for, and the practitioners say readiness is a stage, not a checklist. Vendors are plentiful and loud. Strategy help is scarce below the Fortune 500. Put together, the thinking points one way: the people who will matter in this market are the ones who can start from a business problem, place a company honestly at its stage, say where agents help and where they do not, and explain what has to be true for a deployment to work.

Scope. This is about AI-led transformations: agents doing real work in the revenue engine and changing how the organization operates, not standalone tools a team can adopt on its own. When the guide says succeed or fail, bottleneck, or owner, it is through the lens of transformative initiatives and an organization's readiness for them. By size, the guide runs from the S&P 500 down to roughly $1B in revenue; "mid-market" here means the lower end of that range. Below $1B the org shapes and the gaps are different enough to need their own treatment.

The thinking, in four moves

1. Agents are already everywhere in GTM, and value isn't. Marketing, sales, customer success, RevOps: agents are landing in all of them, unevenly. Most companies are experimenting; few are scaling; fewer still can point to profit impact, and analysts expect a large share of projects to be canceled for unclear value. Adoption is inevitable. Value is not.
2. The constraint is readiness, and readiness is a stage, not a checklist. Five stages: transactional (chatbots and shadow AI), skilled individuals, team workflows, connected systems, autonomous agents. The evidence says few companies have reached stage 4. The products sold to them require 4 and promise 5. The gap between buyer stage and product stage is what kills deployments, and the step from 3 to 4, where ownership has to cross functions, is where most of them stall. Data readiness is the visible part; the deciding part is whether the organization can redesign how work gets done, which the consulting evidence names as the strongest predictor of impact, and you cannot redesign, or hand to an agent, a process nobody has written down. A vendor CMO and a Fortune 50 transformation leader said the same thing to me this week, unprompted.
3. Two things move a company up a stage: ownership and aptitude. One named person whose number moves, with authority across marketing, sales, RevOps and IT; and people willing to change how they work. Organizations with explicit AI ownership score markedly higher on maturity, and the research says the bigger blocker isn't employees, who are ready, but leaders who aren't steering.
4. Climbing requires a redesign decision the company has to own. Where agents take work and where humans keep control, guided by what makes the company different. A vendor can't make that call for a customer, and a consultant can only help frame it. The Fortune 500 get that help from strategy firms at $600K and up; everyone else gets it from nobody. Large companies are climbing; smaller ones are flat. Strategy firms, data firms and tool vendors are three separate groups, and the mid-market buyer coordinates all three alone.

Every figure behind these four moves, with its source, is on The evidence screen.

Where it lands: the scarce skill is translation. Start from the business problem, place the company at its stage on the readiness ladder (Working tools), say where agents help and where they don't, say what has to be true first, and pick the tools last.