Two products. One shared foundation. Edgemont Revenue and Edgemont Edge both operate through AI-driven phone conversations — no apps, no screens, no surveys. The difference is what happens next: Revenue produces intelligence about how your performers sell. Edge develops them through personalized role-play calibrated to what the intelligence reveals.
Most organizations start with Edgemont Revenue to build the intelligence picture, then add Edgemont Edge to act on what it reveals. Both products can also run independently. This page explains how each works in detail.
For CROs and Sales Leaders. Reveals how top performers actually think, decide, and sell through regular AI-driven phone conversations — producing five structured deliverables.
See how Revenue works →For teams and individuals. Personalized role-play scenarios calibrated to each performer's specific patterns and weak points — conducted entirely over the phone.
See how Edge works →Edgemont Revenue works through regular AI-driven phone conversations with enrolled sales performers. The system calls them on the phone — 20 to 30 minutes, no video, no screen, no app. It already knows their patterns, their pipeline history, and what they said last time. The phone format removes performance anxiety and produces the kind of candid thinking that never shows up in a CRM note or a team meeting.
Every conversation has two phases that flow as one. The first phase opens with their pipeline — what's active, what shifted, what's front of mind today. The second phase pivots naturally into the deeper behavioral conversation. What the performer says, and what they avoid, is both meaningful. What they surface across all their calls over time becomes the intelligence that compounds.
Every enrolled performer begins with a 45-minute phone conversation. The system learns how they sell, how they think about risk, how they handle loss, what their pipeline currently looks like, and what's actually on their mind. This produces the Sales Blueprint and establishes the behavioral baseline for everything that follows. The more candid the performer is, the more precise the intelligence becomes.
Each ongoing call opens with their deals. The system already knows what's been active, what was flagged last time, what the performer said they'd know more about by now. It asks natural follow-up questions. The performer talks about whatever deals are front of mind — there is no requirement to cover every deal on every call. What they choose to surface, and what they don't, is itself meaningful intelligence.
The call pivots naturally from the pipeline conversation into the deeper behavioral discussion. What came up in Phase 1 becomes the entry point — a deal they're uncertain about, a pattern in how they're handling a particular type of objection, a prospect they keep deprioritizing. The two phases feel like one conversation, not two separate agendas.
When multiple performers are enrolled, the system synthesizes across individuals to reveal what no single conversation could: which selling approaches are genuinely shared across the top tier versus mythologized, where one person's strength maps to another's blind spot, what the collective selling DNA of the team actually looks like. This is the Team Revenue Map — and it requires no additional work from leadership to produce.
Over weeks and months, the system reveals trajectory — not just current state but direction of travel. Pattern shifts are detected before they hit the numbers. Conviction levels across the pipeline are tracked call over call. Ceiling indicators surface before the performer feels the frustration. The intelligence compounds. A 30-day engagement produces a meaningful baseline. A 90-day engagement produces a behavioral trajectory. A 12-month engagement produces an institutional record.
Ongoing calls run 20 to 30 minutes, 2 to 3 times per week. Each one is structured in two phases that flow as a single conversation.
Opens with their active deals. The system already knows the history. It asks where things landed, what shifted, what's front of mind today. The performer talks about what they choose to surface. There is no requirement to cover every deal. Gaps in coverage are expected — and informative.
Pivots naturally from whatever came up in Phase 1 into the deeper behavioral discussion. Decision patterns, instincts behind specific deals, how they're thinking about a negotiation, what they're avoiding. This is where the intelligence that can't come from CRM is captured.
Top performers are sophisticated communicators. They know how to manage a conversation. The system is designed to detect the patterns beneath the performance — the signals that appear in language before they appear in numbers.
When a performer starts qualifying their own pipeline in conversation — adding caveats to deals they were confident about last week — the system flags the shift before the forecast changes. The language changes before the numbers do.
When someone expresses confidence about a deal but their described behavior tells a different story — they haven't followed up, they're avoiding the decision-maker, they've stopped preparing — the system surfaces the contradiction as a Signal Alert.
When a performer consistently steers away from a specific deal, a specific competitor, or a specific part of their process, the avoidance itself becomes a signal. The system doesn't force the topic. It notes the pattern and factors it into the intelligence.
When the same strategies that produced growth start producing diminishing returns — when the performer is working harder but their approach hasn't evolved — the system identifies the ceiling before the performer feels the frustration. This is where Revenue and Edge connect most directly.
Edgemont Edge develops performers through structured AI role-play scenarios conducted entirely over the phone. Every scenario is generated specifically for that performer — from behavioral intelligence accumulated through Revenue calls, from admin-defined focus instructions, or from both working together. No scripts. No generic training exercises. No pausing mid-call to discuss technique.
The call is the experience. The performer stays in the scenario from start to finish. The analysis happens after. That separation — between the performance environment and the evaluation environment — is what produces authentic behavior during the scenario and makes the assessment more accurate.
The system draws directly from behavioral intelligence accumulated through Revenue calls — each performer's identified patterns, tendencies, blind spots, and development areas. Scenarios are generated to target what the intelligence has already revealed.
Admin focus instructions can be layered on top to steer scenario priorities. The system starts with a rich, existing picture of the performer rather than building from zero.
An admin defines the focus areas, skill priorities, and situational contexts upfront. The system generates scenarios from those instructions. Focus instructions can be updated at any time as development priorities evolve.
The system builds its own behavioral picture of each performer through the role-play calls themselves — becoming more precisely targeted over time.
Before each call, the system generates a scenario specific to that performer — drawn from their behavioral intelligence, their admin-defined focus areas, or both. The scenario is never repeated verbatim. A performer who consistently hedges on price negotiation gets a scenario calibrated to their specific hedging patterns, not a generic price negotiation module.
The performer receives a phone call that drops them into a realistic selling situation. The AI plays the buyer — adaptive, realistic, and calibrated to the performer's development areas. No breaking character. No coaching mid-call. No hints. The scenario runs to completion exactly as a real sales conversation would.
After the call ends, the system produces a structured analysis — objection handling, hesitation points, strengths observed, patterns that emerged. This integrates prior role-play history so the assessment builds on what's already known about that performer. Admin focus instructions are also reflected in the analysis. Delivered per governance mode to the performer, the admin, or both.
Over time, the system tracks whether identified development areas are improving across calls. The assessment doesn't reset each session — it measures against what was observed in earlier calls. Individual scenario calls become a longitudinal development arc rather than a series of disconnected exercises.
Delivered on an admin-configured schedule — biweekly, monthly, quarterly, or any defined interval. Reveals collective patterns across enrolled performers: skills weak across the group, where one performer's strength contrasts with another's gap, whether the defined focus areas are producing improvement at the team level.
Every deliverable from both products is structured and evidence-backed. Nothing is a qualitative narrative or a coach's opinion. Everything traces back to what the performer actually said or did in conversation.
Training teaches methodology through generic scenarios. It doesn't adapt to each individual, and it doesn't produce structured intelligence about how your performers actually sell. Training is a starting point. Revenue is ongoing intelligence. Edge is development that builds on that intelligence.
Continuous, adaptive, individualized intelligence built from each performer's own words and patterns. Produces structured deliverables, not certificates. Gets more precise over time.
Call recording captures what happens on customer calls — rep behavior in the selling moment. It doesn't capture how the performer thinks about the deal before and after the call: the decision patterns, the instincts, the real conviction behind the pipeline number.
Captures the thinking behind the selling. The system talks to the performer about their deals, not to the customer. The intelligence is about decision patterns and conviction, not call mechanics. They're not competing for the same job.
Off-the-shelf role-play tools run the same scenario library for every rep. A price negotiation module is the same for every person who touches it. There is no concept of who that performer is or how they specifically handle pressure.
Generates scenarios from what the system already knows about that specific performer. Different performer, different scenario — always. A rep who hedges on price gets scenarios calibrated to their specific hedging patterns. That's a different category.