A sales enablement strategy for agentic AI.

The category problem

Most sales enablement strategies today are organized around content and certification. That worked when the bottleneck was seller knowledge. The bottleneck has moved. The question leadership is asking now is whether sellers are doing the things that actually move deals, and whether anyone can prove it.

Agentic AI lands in the middle of that question. Tools ship weekly. Adoption dashboards look healthy. Forecast accuracy and win rate do not move. The gap is not a tooling gap. It is a measurement gap — and closing it is the job of a modern revenue enablement and RevOps function working together.

What a GTM strategy for AI actually requires

A GTM strategy that takes agentic AI seriously has three layers, and most organizations only build the first one:

1. Structured content as infrastructure. Modular, governed, retrievable. This is the layer everyone is racing to build.
2. Seller-flow enablement. The agent has to surface inside the motion the seller already runs, not as a second tab.
3. A measurement layer that ties behavior to pipeline. Without this, every win is attributed to the tool and every miss to the market.

The third layer is where revenue strategy lives. It is also the one most enablement teams have never been asked to own.

The evaluation framework

Five steps. None of them are about the model. All of them are about the commercial decision the tool is supposed to change.

1. Start with the metric, not the tool

Pick one revenue metric the AI is supposed to move: win rate on a defined segment, cycle time on a defined stage, multi-product attach, forecast accuracy at a defined horizon. If you cannot name the metric, you do not have an evaluation — you have a demo.

2. Establish a human baseline first

Measure the metric without the agent over a stable window, at the segment level. Skipping this is the most expensive mistake in the category. Any later lift gets credited to the tool when it may belong to seasonality, a comp change, or a pricing move.

3. Introduce the agent as a treatment, not a rollout

Define a treatment cohort and a comparable control. Hold the rest constant. If you cannot hold the rest constant, name the confounders out loud — territory mix, ramp state, manager quality — and decide which ones you will adjust for and which ones you will accept.

4. Run it small and run it yourself

A pilot you cannot personally interpret is a pilot a vendor will interpret for you. Keep the cohort small enough that the RevOps and enablement leads can read every deal that moved and every deal that didn't.

5. End on a decision

Expand, adjust, or stop. A study that produces a dashboard instead of a decision has failed, no matter how clean the dashboard is.

Where this sits in the org

RevOps owns the pipeline view. Enablement owns the behavior change. Neither function can answer the leadership question alone. The translation layer between seller behavior and pipeline movement — whether it sits in RevOps, in revenue enablement, or in a new GTM strategy seat — is the most valuable role in the modern revenue org.

That is the role I build for. It is also the role I am moving toward — sales enablement strategy, revenue operations, and GTM strategy treated as one connected practice instead of three separate scorecards.