Paren
EV Charging Data AI Transformation Case Study
A 14-month embedded AI partnership - 8+ production systems, 50x ROI
Return on Investment
It started with one build: AI lead qualification. It worked, so the engagement grew into a full embedded partnership - a new production system shipped every sprint, and everything already built kept monitored and running. Over 14 months, Agenix has shipped Paren, a fast-growing EV-charging data company, a fleet of systems across sales, finance, and core data operations. The role has since expanded beyond delivery into prototyping and tech-scouting: validating new AI capabilities before Paren's team spends on them.
The Problem
- A fast-growing data company where every new capability meant another engineering hire
- Lead qualification, financial consolidation, and customer data delivery all handled manually
- The in-house team stretched too thin to prototype and validate new AI capabilities
- One-off projects weren't enough - the business needed systems shipped continuously and kept running
Our Solution
We started with a single lead-qualification build. Once it proved out, the engagement became an embedded partnership: one production system scoped, built, hardened, and deployed every sprint, with everything already shipped kept monitored and maintained and priorities set jointly each cycle. Over 14 months that has grown into a fleet of systems across sales, finance, and core data operations - and a role that expanded beyond delivery to prototyping ideas fast and scouting technology, handing proven prototypes to Paren's engineering team.
What We Delivered
ROI & Impact
50x
Return on investment
14 months
Embedded partnership
8+
Production systems shipped and maintained
100+
Leads processed per month
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