The phrase “AI coaching” covers a lot of ground. Ask five vendors what it means and you’ll get five answers. We want to be specific. Here is exactly what happens when Forge coaches someone, end to end, from signal to outcome.
1. Detect, the signal arrives
The rep opens her CRM on Monday morning. Her deal with Acme has sat in “Negotiation” stage for 14 days. There is a note from Friday: “price pressure, competitor undercutting.” Forge reads all of this in real time. The signal is not a support ticket she filed, or a request she made. The signal is the state of her pipeline.
Forge also reads context that is not in the CRM. It knows her role (Senior Account Executive). It knows her ramp status (month 11, fully ramped). It knows her company’s pricing defence playbook (loaded by the sales ops team 3 months ago, updated last quarter). It knows the competitor (named, with their typical pricing moves).
That is the detect step. Not a question from the user. A picture assembled from business systems.
2. Build, coaching is generated on the fly
Forge does not pull a pre-written course off a shelf. It generates this specific coach, this specific session, for this specific moment. Because the deal is at “Negotiation” stage with pricing pressure, Forge constructs a 90-second coaching moment focused on three things: (1) the framing of the competitor’s price as a component of TCO, not list price; (2) the “give to get” playbook, if you are pressured on price, what concession do you ask for in exchange; (3) the specific phrasing that your best reps have used in similar situations, pulled from annotated call transcripts in the sales enablement library.
Because the rep is month 11, Forge skips the intro. No “let me explain what MEDDIC is”, she knows. The coaching is terse. Because she prefers written > audio (she set that preference in her profile three months ago), Forge delivers as written.
That is the build step. Not a course. A just-in-time artifact, made for this person, this deal, this moment.
3. Deliver, in the tool already open
Forge does not wait for her to come ask. The Forge mobile app on her phone, or the Forge web tab she keeps open in the background, surfaces a 90-second briefing the moment it is relevant. Three tactics, specific to THIS deal. The context is fresh because Forge has been reading her CRM, her competitor signals and her company’s pricing playbook in real time. She reads the briefing. She picks up the phone to Acme.
That is the deliver step. Not a new platform to adopt. The tool already on screen.
4. Prove, measure the KPI that matters
The deal closes on Friday at a 4% higher price than Acme initially proposed. Forge logs three things: the coaching moment happened, the deal progressed, the KPI (deal size, cycle time) moved in the right direction. Multiply this by 200 reps doing 15 calls a week each. You get measurable, attributable impact on the KPIs your sales leadership is paid on.
That is the prove step. Not an engagement score. Not a completion percentage. The unit the business is paid on.
Why this is different
If you strip this story of the word “Forge” and replace it with “AI assistant” or “LMS” or “LXP”, none of them describes this flow. An AI assistant waits for a prompt, it does not detect. An LMS catalogues a course, it does not build on the fly. An LXP recommends content, it does not pull live signals from Salesforce and deliver coaching the moment the task happens.
The AI Performance Officer is a new role in the enterprise stack because nothing else was doing this job.
