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Product · AI Revenue Agents

The team that does the work.

Six specialised AI Revenue Agents — each owning a stage of your revenue lifecycle. They read context, decide what to do, take the action across email/voice/SMS/CRM, and log the result. Not chatbots. Not workflow tools. A real team.

What you actually get when you pay for ScendCore: a deployable team. Each agent is its own role with its own tools, voice, memory, and policy permissions — orchestrated by the Brain, sold as one platform.

Meet the team

Six agents. One coordinated team.

Mark, Emma, Sophie, Jordan, Alex, James — each owns one stage of the revenue lifecycle. Click any agent to read their job in detail.

Capabilities

Six agents, six revenue jobs

Each agent is the AI version of a role you'd otherwise hire — with stage-specific training, tools, and memory.

Capability
Purpose
Mark · Prospecting AI
Builds your TAM in real time. Pulls accounts from intent signals, enriches contacts, writes outreach in your brand voice.
Emma · Lead Engagement AI
Answers every inbound in under 30 seconds. Qualifies, books meetings, writes the opportunity to CRM with full context.
Sophie · Pipeline AI
Confirms meetings 24h out, recovers no-shows same day, pushes stuck deals to the next stage with the right nudge per buyer.
Jordan · Deals AI
Drafts proposals from discovery transcripts, sends e-signature, chases signature without being annoying. 8 days faster to close.
Alex · Customer Success AI
Resolves tier-1 tickets in brand voice, monitors account health, surfaces churn signals + expansion opportunities.
James · Recovery AI
Re-engages ghosted leads, stalled opportunities, dormant customers. Recovers 73% of revenue that would otherwise quietly disappear.
Detail

What every agent ships with

Stage-specific

Trained for one job

Each agent is fine-tuned for its lifecycle stage with stage-specific training data, tool access, and memory. Mark doesn't try to close deals; Jordan doesn't try to prospect cold accounts.

  • Per-stage training data
  • Per-stage tool manifest
  • Per-stage memory schema
  • Per-stage performance benchmarks
Cross-agent handoff

They work as a team

What Emma learns about a lead is available to Sophie when she books the meeting, and to Jordan when he drafts the SOW. Context is preserved across the entire lifecycle.

  • Unified conversation history per contact
  • Cross-agent context passing
  • Single source of truth for the relationship
  • No "did the SDR mention X to the AE?" again
Always governed

Six control layers around every action

Per-agent autonomy, per-action policies, dynamic risk scoring, contact overrides, hard guardrails, kill switch. Every action audit-logged.

  • Four autonomy levels: Auto · Review · Suggest · Off
  • Per-channel + per-account overrides
  • 13+ default guardrails always on
  • Kill switch stops everything in <2s
Brain-orchestrated

Coordinated by the decision engine

The Brain ranks every candidate action by ROI, filters by policy, dispatches to the right agent. You don't orchestrate the agents; the Brain does.

  • Continuous-loop decision engine
  • ROI-scored action queue
  • Per-tenant learning from outcomes
  • Immutable decision log
Integrations

The agents work across your stack

CRM

  • Salesforce
  • HubSpot
  • Pipedrive
  • Close
  • Zoho CRM

Channels

  • Gmail
  • Microsoft 365
  • Twilio Voice
  • Twilio SMS
  • WhatsApp Cloud

Calendar

  • Google Calendar
  • Outlook 365
  • Calendly
  • Chili Piper

Data

  • PDL Person
  • Clearbit
  • LinkedIn
  • Email Verify
  • Web Search
Pricing

Included in every plan

The agents are the core product — every paid plan gets them, with deeper capability + more agents at higher tiers.

Available from
Solo
from $99/mo
Solo includes 1-2 basic agents + 5,000 AI Credits/mo. Growth + Pro unlock the full library + advanced agent capabilities.
See full pricing →
FAQs

Common questions

How is this different from a chatbot or workflow tool?
A chatbot answers messages. A workflow tool executes rules you wrote. A ScendCore agent owns an outcome — it reads context, decides what to do, takes the action across whatever channel + tool fits, and logs the result. The chatbot is one tactic; the workflow tool is one playbook; the agent is the whole job.
Can I deploy a subset of the agents?
Yes. Most teams start with 1-2 (typically Emma for inbound or Mark for outbound) and add more over time. The Brain coordinates whatever subset is active; agents you haven't deployed simply don't participate.
Can each agent operate at different autonomy levels?
Yes. Per agent, per use case, per channel. Common pattern: Mark on full autopilot for Tier-2/3 outbound, draft-and-review for Tier-1; Emma on full auto for ICP-fit inbound, suggest-only for enterprise accounts; Alex on suggest-only for Tier-3 enterprise tickets, full auto for Tier-1 SMB.
How are agents priced?
Agent work is metered in AI Credits. Each plan includes a Credit allowance per month (Solo: 5K, Starter: 12.5K, Growth: 35K, Pro: 100K, Enterprise: 250K+). An email send/reply costs 5 Credits, a reasoning step costs 10, a meeting brief costs 15. Top-ups available if you exceed your monthly bucket.
Do I get a "custom" agent on Enterprise?
Yes. Enterprise customers can author custom agents — new personas with custom training data, custom tool manifests, and custom policy matrices. We do the onboarding; you keep the agent.
From the founder
Mike Ojienelo
“I built these six because I needed them at Sprintmore — and I wanted real teammates, not chatbots dressed up as features. Mark, Emma, Sophie, Jordan, Alex, James are how we run revenue now. They'll be how you run yours.”

Deploy the team you don't have to hire.

Six specialised AI Revenue Agents, orchestrated by the Brain, sold as one platform.

Built by a team that's delivered for
© 2026 ScendCore, operated by Sprintmore LLC · Frisco, Texas, USA
AI Revenue Agents — The team that does the work | ScendCore