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.