AI agents, built for revenue execution.
The patented AI Revenue Agent stack lets every ScendCore agent qualify, decide, act, and write back across your stack — without a script, without a chatbot, without a person babysitting it.
What makes a ScendCore AI Revenue Agent different from a workflow, a chatbot, or a wrapped LLM is that it owns a stage of your revenue process. It reads context, decides what to do, takes the action, and logs the result. Across six lifecycle stages, six specialised agents operate as one team.
- 01Prospecting AI — Mark
- 02Lead Engagement AI — Emma
- 03Pipeline AI — Sophie
- 04Deals AI — Jordan
- 05Customer Success AI — Alex
- 06Recovery AI — James
Mark · Prospecting AI
Mark builds your TAM in real time. He pulls net-new accounts from intent signals, enriches every contact, and writes outreach in the rep's voice — then queues it for approval or autopilot based on policy.
Mark is the first stage of the lifecycle: he creates the opportunities the rest of the team works.
- 1.1Pulls accounts from intent signals + your ICP
- 1.2Enriches every contact with verified data
- 1.3Writes outreach in your brand voice
- 1.4Queues for approval or full autopilot per policy
Emma · Lead Engagement AI
Emma answers every inbound — chat, form, voice, email — in under 30 seconds. She runs the qualifying conversation, scores against your ICP, books the meeting, and writes the opportunity to your CRM with the full conversation summary.
Most teams lose 30-40% of leads to slow response. Emma is the reason that stops being true.
- 2.1Responds across chat, form, voice, email in <30s
- 2.2ICP-based qualification + BANT scoring
- 2.3Auto-routing to the right AE with full context
- 2.424/7 — speed-to-lead is no longer a leading indicator
Sophie · Pipeline AI
Sophie keeps the meetings happening and the deals moving. She confirms every meeting 24h out, recovers no-shows the same day, and pushes stuck deals to the next stage with the right nudge for each buyer.
Your pipeline stops being a museum of "waiting on prospect."
- 3.1Meeting confirmation 24h out + day-of
- 3.2No-show recovery same day
- 3.3Stage-advance nudges tuned to each buyer
- 3.4Writeback to opportunity stage in CRM
Jordan · Deals AI
Jordan handles the close-the-deal motion. Drafts proposals from the discovery call transcript, builds the SOW, sends it through e-signature, and chases the signature without being annoying.
Closes 8 days faster than the human baseline. The fastest closers stop doing paperwork.
- 4.1Proposal generation from call transcript
- 4.2SOW + redline workflow
- 4.3E-signature dispatch + signature chasing
- 4.4Auto-handoff to CS on close
Alex · Customer Success AI
Alex runs onboarding day one, resolves tier-1 support tickets in your brand voice, monitors account health, and spots churn signals before your CSM does. He's also quietly responsible for surfacing expansion opportunities to AEs.
The gross-retention number you didn't know was at risk of going down stays where it is.
- 5.1Tier-1 + Tier-2 support resolution
- 5.2Account health monitoring (usage + sentiment)
- 5.3Churn signal detection + early escalation
- 5.4Expansion intent surfaced to AE with context
James · Recovery AI
James watches every deal and every account for silence. Re-engages ghosted leads, stalled opportunities, and dormant customers across email, SMS, and LinkedIn with the right cadence for each. Recovers 73% of revenue that would otherwise quietly disappear.
Most teams have a leak they don't measure. James finds + fixes it before it's gone.
- 6.1Ghosted lead re-engagement across all channels
- 6.2Stalled-deal recovery + win-back motions
- 6.3Dormant customer reactivation
- 6.4Churn-risk save plans coordinated with CSM
Frequently asked
Deploy the team you don't have to hire.
Connect your tools. Activate the agents you need. Start with one; add more as you grow.