Real examples of apps, data platforms, and AI agents shipped to production—with the metrics and SLOs to prove it.
Each case study focuses on:
What wasn’t working
How we used Build · Connect · Automate
What changed and how we measured it
The systems we integrated with
We anonymize or generalize details where needed, but the technical patterns and outcomes are real.
Filters
By outcome
By function
By plan
Speed‑to‑lead and booking rate
Containment rate and CSAT
Data freshness and dashboard usage
Funnel conversion, revenue assisted, and time‑to‑decision
Executives comparing options and risk
Engineering leaders validating feasibility and complexity
RevOps/CX/Data leaders needing something concrete to show their teams
Yes. In a Blueprint Session, we can walk you through similar patterns and what they’d look like in your stack.
Only with explicit permission. Many stories are anonymized or generalized for confidentiality.
