ETL consulting that ends in feeds running every night.

Extract, transform, load: getting data out of the systems that produce it, into the shape your reports need, on a schedule nobody has to remember. ETL consulting done as a build job ends with the feeds running in your environment — the SQL, the scripts, the schedule, the documentation — not a recommendation to buy a platform. It is the plumbing under every AI initiative you have planned.

A tool gives you connectors; it does not own your mapping. When your new billing vendor changes the file layout, the tool waits for you to fix it. As an AI operating partner we own the translation layer — we advise on the tables, build the scripts, run the feed, and step back in when a vendor changes the files. You keep everything.

It is the best time, and the usual reason teams call. The feed is built against agreed summary tables, not against any one vendor’s file layout — so when the new RCM vendor or scheduler changes the files, the translation layer absorbs it and your scorecard keeps its shape. Vendor-proof is the design goal, not a lucky side effect.

By designing PHI out of the pipeline. The feed runs from a de-identified reporting database; only agreed summary tables move, as flat files to a secure SFTP container, IP-whitelisted against your cloud boundary — your Azure network, not ours. Phase one is read-only: no write-back to payroll, billing, or budgeting systems until you ask for it.

Yes — that is the common case. Where a system offers an API (Paylocity’s API, for example), we use it; where it does not, scripted exports automate the SFTP file transfer a person used to run by hand — so your team stops exporting payroll reports manually. We configure feeds out of budgeting systems like Axiom the same way: agreed tables out, same shape every night.

Everything: the database tables, the SQL, the export scripts, the schedule, and the documentation — running in your environment, inside your cloud boundary. We can stay on to run and extend the feeds as your AI roadmap grows, but dependency is not the model; your team gets the walkthrough and the keys.