I turn recurring reports, data pulls, and administrative busywork into automated pipelines that end in a ten-minute review — not an afternoon of work.
No pitch deck. Bring the one report you're most tired of building, and we'll scope whether it's automatable — on the call.
Operations and IT leaders at 50–500 person companies where:
If two of those three sound familiar, we should talk.
I build lightweight pipelines that connect the systems you already own — Jira, Confluence, Teams, SharePoint, SQL databases, Power BI, internal APIs, and your line-of-business applications. AI becomes the interface layer that makes those systems easier to use; the value comes from integration and workflow design, not the model. Everything is delivered as code you own, running on your infrastructure — no SaaS resale, no subscription lock-in, no slideware.
From production systems I've built (anonymized — details available on a call):
Week 1 — discovery. I map your recurring workflows, reporting processes, documentation practices, and repetitive administrative tasks.
Week 2 — you receive:
A biweekly sprint-review deck consumed an afternoon of analyst time every cycle. Now it assembles itself from the data warehouse and waits for a ten-minute review.
Read the case study →Metrics hand-collected across Salesforce reports, Smartsheets, and dashboards, replaced with a governed AI query layer over the data warehouse.
Read the case study →Everything runs on your infrastructure and your accounts. AI models get governed, least-privilege, read-only access; credentials are never exposed to the model; every automated action is written to an append-only audit log; and anything consequential — sending, publishing, spending — stops at a human-approval gate. You can see exactly what the machine did, and why, at any time.