AI Agents
Stabilize Stage | $1-5M ARR | 10-30 headcount
Main challenge: Making growth repeatable. First hires, handoffs breaking.
AI Agent Recommendations
Automated Agents (Headless)
What's new at Stabilize — you have reps to support now:
| Use Case | SOP/Playbook Required | Tool Example |
|---|---|---|
| Lead enrichment | Automated Inbound SOP | Clay + HubSpot workflow |
| Lead routing | Lead routing rules | HubSpot workflow, Chili Piper |
| CRM data entry | Transcript processing | Fireflies + Zapier → CRM |
| Onboarding sequences | Onboarding playbook | HubSpot sequences |
| Renewal reminders | Renewal process | CRM workflow triggers |
| Rep activity capture | Activity capture | Gong → CRM sync |
Work Agents (Interactive)
AI agents now support the team, not just founder:
| Use Case | Who Uses It | Example Prompt |
|---|---|---|
| Deal coaching | AE/SDR | "Review this deal — what should I do next based on the call transcript?" |
| Call review | Manager | "Summarize this rep's last 5 calls and identify coaching opportunities" |
| Competitive intel | AE | "How should I position against [competitor] based on what we know?" |
| Onboarding prep | CSM | "Create an onboarding plan for this customer based on the handoff doc" |
| QBR prep | CSM | "Draft a QBR deck based on this customer's usage data and notes" |
| Pipeline review | Manager | "Analyze our pipeline and flag deals that look at risk" |
What's New vs. Build Stage
- Rep enablement — AI helps train and support new hires
- Manager leverage — AI helps with coaching, review, analysis
- Process automation — More SOPs means more automation opportunities
When AI Agents Hit Limits
- High-stakes negotiations (AE judgment required)
- Customer relationship decisions (CSM owns the relationship)
- Hiring and people decisions (human judgment)
- Strategic account planning (cross-functional input needed)