Proof, without hype.
Two concrete snippets from one real client: a workflow fix support could actually use, and adoption visibility that changed behavior.
If you book: please paste your answer to the pre-qual question into the calendar note.
Snippet #1 — Support incidents → customer identity
A company had 500+ paying customers and hundreds of bot instances that sometimes hit issues. Support could see the broken instance, but couldn’t reliably identify which paying customer owned it — the database links were privileged (messages/PII) and effectively inaccessible.
We built a matching pipeline: deterministic + fuzzy matching got to ~75 identified customers, and then an AI-assisted suggestion engine that improves as you confirm matches.
Snippet #2 — Adoption that actually changes behavior
A key person responsible for AI adoption was openly anxious about AI. After a 2.5-hour working session, she shifted from avoidance to advocacy.
We also made adoption measurable: when the dev org claimed to be “AI-native”, we pulled GitHub evidence and surfaced the reality (near-zero AI co-authored PRs). That visibility created the moment to change.
Pre-qual question (answer before booking)
What’s the one workflow in your org that you wish was 2× faster or 2× less error-prone — and how do you know it’s working today?
Paste your answer into the calendar note. I’ll read it before we talk.