PROJECT: SENTIENT_CRM v2.0
Predictive Intelligence
for Legacy Systems.
Autonomous retention agents that predict churn before it happens.
TOTAL REVENUE
$842,000
▲ LIVE UPDATES
ACTIVE AGENTS
12
Autonomous instances
CHURN RISK
4.2%
Critical Attention Needed
RETENTION PROBABILITY MODEL
AWAITING INPUT
System initiates behavioral analysis on current agent cohort.
Architecture
- → Next.js 14 Middleware
- → Vector Embeddings (Pinecone)
- → OpenAI GPT-4o (Reasoning)
Impact
The "Sentient" layer reduced client churn by 42% in Q4 alone by proactively flagging at-risk accounts before they cancelled.