The team that does the work.
Four specialised AI Revenue Agents across three departments — each owning a clear job. 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.
Four agents. One coordinated team.
Riley, Sophie, Mark, Alex — each owns one stage of the revenue lifecycle. Click any agent to read their job in detail.
Four agents, three departments, every revenue job
Each agent is the AI version of a role you'd otherwise hire — with stage-specific training, tools, and memory.
What every agent ships with
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; Alex doesn't try to prospect cold accounts.
- Per-stage training data
- Per-stage tool manifest
- Per-stage memory schema
- Per-stage performance benchmarks
They work as a team
What Riley learns about a lead is available to Sophie when she books the meeting, and to Alex 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
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
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
The agents work across your stack
CRM (native)
- Salesforce
- HubSpot
- GoHighLevel
- Zendesk
- Other CRMs via webhook
Channels
- Gmail
- Microsoft 365
- Twilio Voice
- Twilio SMS
- WhatsApp (via Twilio)
Calendar
- Google Calendar
- Outlook 365
- Calendly
- Cal.com
Data
- PDL enrichment
- Tavily web search
- Perplexity research
- Apollo (BYOK)
Included in every plan
The agents are the core product — every paid plan gets them, with deeper capability + more agents at higher tiers.
Common questions
How is this different from a chatbot or workflow tool?
Can I deploy a subset of the agents?
Can each agent operate at different autonomy levels?
How are agents priced?
Do I get a "custom" agent on Enterprise?
“I built these four because I needed them at Sprintmore — and I wanted real teammates, not chatbots dressed up as features. Riley, Sophie, Mark, Alex are how we run revenue now. They'll be how you run yours.”
Deploy the team you don't have to hire.
Four specialised AI Revenue Agents, orchestrated by the Brain, sold as one platform.