09 — CASE STUDY / 2026
Reonic — AI Operating System for Renewable Installers
A case study on an AI operating system for renewable installers — from quoting and site design to scheduling and handover.
How this study was done
Context
Installers lose margin between the first customer enquiry and the finished installation: quoting is slow, site data is inconsistent, and scheduling collapses when reality shifts.
Approach
I walked the installer journey from lead to commissioning, measured where hours and rework accumulate, and separated the steps that need field judgement from the ones software should own.
What I proposed
An operating layer that turns site input into an accurate quote and design fast, keeps scheduling honest as jobs change, and hands crews a single source of truth on site.
How to read the deck
The deck above walks through the market context, the workflow analysis, the proposed product, the metrics, and the risks.