When your AI has the complete picture — CRM, calls, email, calendar, Slack, process, team structure, territories, and operating rules — these are the kinds of outcomes teams are getting.
You spend an hour pulling from dashboards, CRM, calls, email, and Slack before a forecast review or CEO one-on-one. Half the time, the deep pull gets skipped.
Daily or weekly CRO Briefs covering pipeline movement, deal risk, competition, team patterns, customer health, and open questions — with source evidence from every connected system.
Your rep walks into a call with whatever they remember plus a glance at the CRM record.
Full briefing before every meeting — deal history, recent emails, Slack threads, past call highlights, open action items. One view.
You spot risk when a rep mentions it in standup, or when the CRM shows a deal hasn’t moved. You miss the ones that went quiet everywhere.
Surface deals that have gone silent across all channels. Not “no CRM update” — truly quiet. Champion dark for 2 weeks. No email reply. No Slack activity.
Win-loss is a quarterly project based on rep interviews and CRM disposition codes. Biased by memory and self-reporting.
Analyze every deal — won and lost — across every interaction. Surface patterns: which competitors you lose to, where deals stall, what winning reps do differently.
MEDDPICC scores are rep self-reported in the CRM. Optimistic by nature. Nobody audits them against actual signals.
Assess any deal against MEDDPICC, SPICED, or your own criteria — from actual calls, emails, and CRM data. Not what the rep says happened. What actually happened.
Managers listen to a few calls per rep, per month. Coaching is based on a sample. Patterns get missed.
Surface coaching moments with timestamps from every call. Identify behavior patterns across deals. See what top reps do differently. Specific, evidence-based feedback.
CRM fields decay. Reps don’t update. RevOps runs manual audits quarterly.
AI updates CRM fields after every customer interaction — with high-quality outputs, formatted exactly the way you define them. Based on actual calls and emails, not manual entry.
You ask your AI about an account and get back whatever’s in the CRM. Missing the last 3 calls, the Slack thread, the email where the champion mentioned a competitor.
Full account picture from every source, in one question. Cross-system, identity-resolved, timeline-ordered.
Pulling together a QBR takes hours of manual data gathering across systems. Revenue, usage, support tickets, engagement — all in different places.
Auto-generated QBR prep covering ARR, engagement trends, support history, risk signals, and expansion opportunities. From every source.
Competitive intel is third-party research or anecdotal. What your customers actually say about competitors lives in call transcripts nobody reads.
Surface every competitive mention across calls, emails, and Slack. See which competitors come up in which deals, what objections they raise, and how your team responds.
Connect your data. Your AI does the rest.