Your team's numbers live in five systems. I connect them once, so a status update, a summary, or a chart deck is something you run — not something you build.
No pitch deck. Bring the report you're most tired of assembling, and we'll trace where its numbers come from — on the call.
Team leads, program managers, and engineering managers who report on work that spans more than one team and more than one tool:
If two of those three sound familiar, we should talk.
Each connector does one job — pull sprint tickets, query the warehouse, read a SharePoint list — and returns the same shape every time. Run it Monday and you get Monday's numbers: no duplicates, no half-finished state, nothing to clean up if it runs twice. That is what makes the second report cheap: a new question becomes a new combination of pieces you already own, not a new project.
The toolkit covers Jira, Confluence, SQL data warehouses, SharePoint, Teams, Outlook, Power BI, GitHub, and PowerPoint — the ones you don't need stay out of your deployment. 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. Pick the one recurring report or roll-up that costs your team the most time. I map where every number in it actually comes from, and connect those systems.
Week 2 — you receive:
Four product areas, two systems, one deck. It consumed an afternoon of analyst time every cycle; now it assembles itself from warehouse and Jira data and waits for a ten-minute review.
Read the case study →Metrics hand-collected across Salesforce reports, Smartsheets, and dashboards, replaced with a read-only AI query layer over the data warehouse.
Read the case study →Everything runs on your infrastructure and your accounts. Connectors get governed, least-privilege, read-only access; credentials are never exposed to an AI model; every automated action is written to an append-only audit log; and anything consequential — sending, publishing, changing a record — stops at a human-approval gate. You can see exactly what the machine did, and why, at any time.