Your team is already using AI everywhere. Nobody has decided what they should use it for.
Your team is already using AI everywhere. Nobody has decided what they should use it for.
Reps write emails with it. Marketing drafts campaigns with it. RevOps pilots a tool nobody adopts. It is in use across the whole motion, and it works about as well as whoever happened to try it that day. What's missing is the decision layer: which parts of the revenue motion the team hands to AI, which parts stay human, and what everyone does the same way every week. That decision belongs to revenue leadership, and it's the work this practice does.
Reps write emails with it. Marketing drafts campaigns with it. RevOps pilots a tool nobody adopts. It is in use across the whole motion, and it works about as well as whoever happened to try it that day. What's missing is the decision layer: which parts of the revenue motion the team hands to AI, which parts stay human, and what everyone does the same way every week. That decision belongs to revenue leadership, and it's the work this practice does.
Matt Garrett spent more than a decade at ServiceNow working with executive teams at Fortune 500 companies on technology transformation, then led the global Customer Value function at Firstup through a significant organizational redesign. He built the operating model, the frameworks, and the teams while the number still had to be hit every quarter.
Revenue teams don't get to pause the motion while they figure out AI. The workflows built here fit inside the week a revenue team already has.
Where the revenue motion changes
Four parts of go-to-market where teams applying AI with structure see measurable return, and where most are still improvising rep by rep.
Pipeline and Prospecting
Account research, list building, and personalized outreach absorb more selling time than anything else in the funnel. Sellers using AI do that work well when the workflow runs on your ICP, your qualification criteria, and your real win patterns instead of a generic prompt. This work builds the research and outreach workflows your team runs the same way every week, then sets the line between what gets drafted with AI and what a seller owns. The measure is qualified pipeline per rep, not activity volume.
Content and Campaigns
Marketing teams get asked for more campaigns, more segments, and more enablement assets without more people. A team using AI closes most of that gap once your positioning, proof points, and voice sit inside a repeatable process. This work builds the campaign and content system: brief to draft to review, with brand and claim standards enforced inside the workflow. The goal is more output at the same quality bar, not more drafts to clean up.
Enablement and Ramp
Ramp time is the quietest cost in a revenue org. Every month a new seller takes to reach quota is a month of capacity the plan already counted. Enablement leaders compress that by using AI to turn your call recordings, win-loss notes, and product material into working objection libraries, call prep, and practice loops that stay current without a full-time enablement hire. This work builds those assets and the cadence that keeps them from going stale.
Forecasting and Revenue Analysis
Forecast prep consumes days of leadership time and still produces a number people argue about. A RevOps lead using AI can read across the deal notes, call transcripts, and CRM activity your team already generates and surface the risk signals before the pipeline review, not after the quarter closes. This work builds the analysis routine: what gets pulled, what gets flagged, and what a leader decides. Judgment on the number stays with the humans accountable for it.
Building business cases, proposals, and RFP responses at scale?
Why GSP over the alternatives
How this work differs from the options most revenue leaders consider when they start getting serious about AI.
Typical alternatives
AI sales tools that add another seat, another dashboard, and no judgment about when to use them
Prompt training that lands well in the room and fades within three weeks
Agencies that produce the content for you, which builds their capability instead of your team's
Outbound automation that raises send volume and burns the list it was supposed to convert
Leaving it to each rep, which produces a different standard per seller and no way to coach any of them
Decisions made at the revenue leadership level, so the whole team runs one motion instead of one per rep
Workflows built inside your actual motion and the tools you already pay for: your ICP, your objections, your CRM and call data
Clear rules for customer data, brand voice, and claims before anything reaches a prospect
Success measured against pipeline, cycle time, ramp, and win rate, with a baseline captured before the work starts
Capability your team owns and runs without a consultant in the room
This comes from running the work, not advising on it: more than a decade inside enterprise technology transformations, then leading a global customer value organization across solution consulting, professional services, and customer success.
What this could look like for your team
Illustrative scenarios, not case studies. They show how specific parts of the revenue motion change once the right workflows are in place.
Illustrative scenarios based on common mid-market patterns, not client results.
Pipeline
A 12-rep mid-market sales team spends six to eight hours a week per seller on account research and outreach personalization. The team builds a research workflow around its own ICP criteria and closed-won patterns. Research and drafting drop to roughly two hours a week per rep. The team counts only the hours that show up as more conversations, not every hour saved, and measures pipeline coverage against the same baseline it set in week one.
Content
A three-person marketing team supports four segments and a sales org that wants assets for all of them. Positioning, proof points, and voice standards get loaded into a briefing-to-draft workflow. A campaign that used to take two to three weeks from brief to first usable draft now takes about three days, and the review step catches claim and brand issues before legal sees them.
Enablement
New sellers take about five months to reach full productivity, and the enablement function is one person with a slide library. Call recordings and win-loss notes get turned into a current objection library, deal-specific call prep, and a weekly practice loop. Ramp moves toward four months. On a 12-rep team hiring six a year, that difference returns roughly six seller-months of capacity annually.
Forecasting
A RevOps lead spends the better part of two days each month assembling the forecast, and the risk in the number surfaces only in the pipeline review. Deal notes, transcripts, and CRM activity feed an analysis routine that flags stalled deals, single-threaded accounts, and slipped close dates before the meeting. Prep drops to a few hours, and the conversation shifts from building the number to deciding what to do about it.
Priced to the scope of the motion.
Engagements get scoped and priced around what the work actually covers. A focused session that gets your leadership team aligned on where AI belongs in the funnel is a different investment than building and rolling out workflows across sales, marketing, and RevOps.
Most teams start with a working session, then decide how far to take it. Reach out and we'll size it against what you're trying to move this quarter.
Common questions
Answers to what revenue leaders typically ask before reaching out.
Our reps already use ChatGPT. What does this change?
Won't AI-written outreach make us sound like everyone else?
What happens to our customer data and CRM records?
How do we know whether it worked?
Does this replace our enablement team or our agency?
How do we get started?
Common questions
Answers to what revenue leaders typically ask before reaching out.
Our reps already use ChatGPT. What does this change?
Won't AI-written outreach make us sound like everyone else?
What happens to our customer data and CRM records?
How do we know whether it worked?
Does this replace our enablement team or our agency?
How do we get started?
Common questions
Answers to what revenue leaders typically ask before reaching out.
Our reps already use ChatGPT. What does this change?
Won't AI-written outreach make us sound like everyone else?
What happens to our customer data and CRM records?
How do we know whether it worked?
Does this replace our enablement team or our agency?
How do we get started?
Running this across a portfolio of companies? There's a separate track for that.
Stop running a different motion for every rep.
One motion, one standard, measured against the numbers you already run. Start with a conversation.
Running this across a portfolio of companies? There's a separate track for that.
Stop running a different motion for every rep.
One motion, one standard, measured against the numbers you already run. Start with a conversation.
Running this across a portfolio of companies? There's a separate track for that.
Stop running a different motion for every rep.
One motion, one standard, measured against the numbers you already run. Start with a conversation.