Case studies
SaaS
SaaS – Vertical B2B SaaS ($35M ARR): Onboarding & Expansion Revenue AI System
Timeline: Build: 8 weeks. Deploy: tier-1 customers first. Optimization: 10 weeks health models.
Business overview
Industry: vertical B2B SaaS. Size: mid-market enterprise mix. Systems: CRM, warehouse, product analytics.
Common pain points
Manual onboarding plans, late churn detection, ad hoc expansion. Scale broke as ARR grew.
Full AI automation system (PrimeAxiom solution)
Onboarding Factory Agent, Health Agent, QBR Agent, Expansion Router Agent.
Automation workflow (detailed system flow)
1. Closed-won trigger. 2. AI builds milestone plan. 3. Usage + tickets fused into health. 4. Risk alerts to CS/AE. 5. QBR content drafted. 6. Humans strategize. 7. Outcomes refine scoring.
AI agents & logic
Playbook Agent, Health Agent, Narrative Agent, Expansion Agent.
Technical architecture
Reverse ETL, Postgres, LLM with CRM context, Slack/email actions.
Tools & integrations
Salesforce, Segment, Snowflake, PostgreSQL, OpenAI, Gainsight hooks
Results
Time-to-value −38%; gross churn −27%; expansion pipeline +33%; CSM admin time −41%.
Timeline
Build: 8 weeks. Deploy: tier-1 customers first. Optimization: 10 weeks health models.