How Enablement Teams Are Using AI to Show the ROI of Every Lesson

Cracking the Enablement Black Box: How AI Is Finally Tying Coaching to Revenue

Ioanna Mantzouridou Onasi, CEO and founder of the AI coaching platform Dextego, tackled a question that keeps enablement leaders up at night: when your CFO asks what revenue impact your team drove this quarter, can you answer with confidence? A live poll said it all. Most attendees admitted they couldn't, and many confessed they have no clear measurement framework at all. As Ioana put it, that means they were in exactly the right room.

The enablement black box

Ioanna opened by naming the problem the community has been quietly venting about in Slack for months: enablement still runs on subjective measurement. We host a workshop on discovery or negotiation, ask the reps whether they liked it, count how many showed up, and call it a win, none of which tells us whether the skill actually stuck or moved a deal.

She pointed to two structural flaws baked into the old model. The first is the blending of learners. Borrowed straight from higher education, training tends to land on the average of the group, missing both the top performers (who disengage and eventually leave for more growth) and the strugglers (who can't catch up and lose confidence). The second is the timeline gap: a new hire learning about contracts and quotas in week one isn't incentivized to absorb it, because their actual KPI that week is shadowing or cold calling. The information and the moment of need don't line up.

The stakes are real. When learning fails, sellers can't build trust, deals stall into "no decision," and revenue suffers. Her most quotable stat: only 8% of sales coaching budgets today are actually linked to revenue.

A quick history of how we got here

To frame where things are heading, Ioanna walked through enablement's evolution as an A-through-E progression. It started with LMS and content management systems (great for product knowledge, weak for human-to-human selling skills), moved into conversation intelligence and call recorders, then into AI roleplays that let reps practice on their own schedule. Now we're entering real-time coaching, where guidance reaches the rep live on the call, while the stakes and incentives are highest. The horizon is the autonomous enablement system, where AI continuously ingests data from before, during, and after calls to sharpen training and go-to-market strategy.

The room had plenty of hands-on experience to share. Attendees described using AI roleplay tools like Nooks and Tangelo for onboarding, with most agreeing reps genuinely enjoy them but struggling to prove they shorten ramp time. Gong drew candid frustration, with one participant calling it a letdown relative to its price. The recurring theme: lots of activity, very little provable ROI.

What "real time" actually means

A useful clarification emerged from the chat. Several attendees equated "real-time coaching" with post-call scorecards. Ioanna distinguished that from what she means: AI that listens to both seller and prospect during a live call and surfaces a one- or two-line suggested response, not a word-by-word teleprompter, but a nudge to handle an objection or secure a next step before the deal slips away. Crucially, those suggestions adapt to the communication style of the buyer, leaning on numbers for an analytical prospect or big-picture vision for a storyteller.

She was refreshingly skeptical of vanity metrics along the way, taking aim at talk-to-listen ratios. Without context, she argued, the number means nothing, and standardizing it as a quality metric is a relic of tools built by engineers rather than enablers.

What you can do today, with zero budget

For teams without fancy tooling, Ioana offered a practical playbook. Build a skills rubric (like the one she built here), use ChatGPT or Claude to create custom roleplays, and crucially practice against real personas rather than generic ones. Then run a simple A/B test, comparing reps who practice against those who don't, and tie the difference to CRM data like win-rate movement between stages. That gives you a zero-budget ROI story to bring to your CFO, and the relationship and hard data that, in her words, will protect your role.

The human thread

The conversation turned genuinely poignant when one attendee shared that her role had been made redundant just days earlier, part of a restructuring that cut roughly half her company, with AI cited as the reason. She described departments racing to automate their own jobs in what someone aptly dubbed "the AI Hunger Games."

It underscored Ioana's closing argument. The number one human skill in an AI world, she said, is influence. When every seller has real-time coaching and perfect product answers, buyers will choose the rep who understands them and earns their trust. Enablement's future isn't being automated away, it's moving into true coaching, helping sellers become self-aware and deeply human, and proving, with data, that the function is a revenue engine rather than a cost center.

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