The problem with current data
Sales leaders make decisions based on CRM data that's 3 days old, entered by reps who hate data entry, representing deals they're optimistic about. That's not intelligence. That's a story.
Pipeline health by engagement
Each deal has a health score based on actual interaction data — last touchpoint date, reply sentiment, sequence progression, meeting history. Not stage updates reps moved manually.
Sequence performance
Step-by-step conversion rates across every active sequence. See exactly where prospects drop off, which messages get the most replies, and which steps are underperforming.
Agent activity feed
A live log of every action your AI agents took today — emails sent, replies handled, meetings booked, escalations triggered. Full audit trail. Nothing is a black box.
Who uses it
- Sales leaders — Monday morning pipeline review in 60 seconds
- RevOps — clean data for attribution, process audits, CRM hygiene
- Reps — full context on every contact before they pick up the phone
- ✓Pipeline health scored on actual interaction data — not rep-entered stages
- ✓Sequence step conversion rates — find the drop-off point
- ✓Agent activity feed — every AI touchpoint, live
- ✓Rep attribution — AI-sourced vs rep-sourced, tracked cleanly
- ✓Contact-level timeline — all channels, all history, one view
- ✓Forecast inputs from pipeline velocity and sequence conversion data
- ✓Exportable audit trail for compliance and legal
I used to spend my Mondays pulling reports. Now I open ScendCore and I know in 60 seconds what needs my attention. The visibility is completely different.
VP Revenue, B2B SaaS — 110 employees