Sleak is an AI Coach for technology and telecom revenue teams. The Knowledge Coach (KNOW) gets every rep provably current on each release, repositioning, and pricing change within days. AI-Roleplays (DO) let reps practice discovery, displacement, and renewal conversations out loud against virtual counterparts built from your real ICP, scored against your Scorecard.
The conversations that decide the quarter
In tech, win rates are decided in conversations, not feature tables. The same five keep going wrong:
- The discovery call that stays at surface level, so the deal gets scoped on price instead of pain.
- The "we already have a tool for that" objection, answered with a feature list instead of a displacement story.
- The renewal conversation after a rocky rollout, walked into unprepared.
- The technical evaluator whose third question the AE cannot answer.
- The repositioned pitch everyone has read and nobody has said out loud.
Every quarter adds new versions: a release changes the demo flow, a competitor reprices, the kickoff message expires. Telecom runs the same pattern at larger scale, across distributed, churn-pressured sales forces. And every month a new SDR or AE learns on live prospects is pipeline you paid for and did not get.
Why more enablement content won't fix it
You already have enablement. It produces material, not capability. The deck is in the wiki, the certification was passed, and the first time a rep says the new pitch out loud is still in front of a real buyer.
- Launch deck and battle cards in the wiki
- Read once, outdated by the next sprint
- Certification quiz after kickoff
- Tests recall, not whether the rep survives a skeptical evaluator
- Call recording library
- Reps watch other people sell; watching is not practicing
- Manager-led roleplay
- Managers have no time, so it happens twice a year
- New pitch presented at kickoff
- Heard once, practiced never
Three Initiatives for tech revenue teams
Sleak runs one loop. The Knowledge Coach (KNOW) verifies in dialogue that each rep understands the release, the positioning, the pricing logic. AI-Roleplays (DO) make them prove it out loud, scored against your Scorecard. Three Initiatives matter most here.
Launch and repositioning readiness, in days not quarters
Build the Initiative from the release notes and new messaging.
Every rep clears Training Scenarios like deliver the repositioned pitch to a skeptical VP of Engineering and defend the new pricing to a customer who liked the old model.
SDR and AE onboarding and ramp
New hires run their first cold call and first discovery call in Sessions with the AI Coach before they touch live pipeline, measured against your Standard of Excellence instead of whoever had time to shadow them.
Discovery and objection-handling uplift
The whole team drills the calls that decide win rates: the "we already have a tool for that" displacement conversation, the renewal defense after a rocky rollout.
Across all three, leaders build the virtual counterparts to match their real ICP: the personas, the industries, the objections your reps actually hear.
I like that you can integrate your own ICP with Sleak AI … you can really determine what the person you are calling is like and what field they come from. This makes the training more specific and closer to reality.
Verified G2 review, mid-market company (51–1,000 employees)
What reps say
From verified G2 reviews:
I like the genuine authenticity in the sales conversations with Sleak AI … you notice that there is a lot behind the generated customers.
Verified G2 review, mid-market company (51–1,000 employees)
I especially appreciate the depth of the AI-generated feedback … I can now train all scenarios as I need them with less time effort and am no longer dependent on managers.
Verified G2 review, small business
