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Every deal is always changing. The deal that’s about to slip and stall two weeks from now, looks fine in the CRM today. Only Olli catches it and fixes it before your Friday forecast call.
Olli reads the room before you do.
Every night, Olli reads the day's activity across every open deal (Slacks, emails, calls, and more). Then he stack ranks deals that deserve your time and attention.Letting you jump on deal when they need it, not just when the deal review’s calendared.
Don’t just flag risk, go fix it.
Olli goes beyond asking, “What's at risk?” He finds exactly what works in situations like this, and pre-drafts winning plays that are already proven, setting you and your reps up for the next step.
Get one briefing across your entire team.
Get rollups by rep, segment, and stage. With heatmaps for where the at-risk pipe is concentrated, and coaching gaps named before they show up in your win rate.up in your win rate.
Five jobs. One agent.
All Use Cases
See every way Olli helps revenue teams execute.
Sales Tool Adoption
Drive adoption by meeting reps where they work.
Sales Coaching
Close skill gaps with scorecards and win-rate diagnostics.
Sales Execution
Fix process gaps with proactive Olli interventions.
Sales Onboarding
Cut ramp time for new reps with the living playbook.
AI Deal Review
Unstick stalled deals with pattern-matched playbooks.
Got questions? We got you.
Scan some quick answers here, or book a time to chat 1:1
Yes. Olli reads Gong call data alongside CRM, email, and content engagement. Most Olli customers keep both, or they collapse the stack over time.
No. Olli prepares the meeting. The leader still runs it. Difference: everyone walks in with the same picture and the right deals pulled.
Time-series analysis on stage velocity, multithreading depth, content engagement, and response patterns. Deals that look like past wins score higher. Deals that look like past losses get flagged for a leader to step in.
Pattern recognition across your closed-won data and 150K+ enterprise cycles, scoring every open deal nightly. Reads actual signals (call sentiment, multithreading, response cadence, stage velocity) instead of rep self-report. Surfaces what's at risk before the rep flags it.




