AI is not industry expertise versus engineering. Any engagement that matters needs hands-on specialists in both, sitting in the same room, accountable for the same production outcome. That is how we staff every deployment.
"Our AI engineers sit next to someone who has closed the books in SAP for 20 years. Our SAP experts sit next to someone who ships production ML. Neither works alone. That is the whole point."
A functional specialist who has personally configured and run your ERP for decades — FICO, Account-Based CO-PA and Margin Analysis, Results Analysis, PS, PMMO, MM, PP, SD on the SAP side; project accounting, government contract compliance, and EAC on the Costpoint side. Speaks your language on day one. Knows which tables the truth lives in — and why the obvious answer is wrong.
Designs the models, builds the pipelines, wires the write-back, and owns production reliability. Embedded with your team, accountable for the measured outcome.
Connectors, extraction semantics, and side-by-side extensions — built clean-core, without touching your upgrade path.
Builds the evaluation suite every workflow must pass before production, then keeps monitoring accuracy, exceptions, and human corrections after go-live.
Every case study we publish names the pod composition — even when the client is anonymized. Field notes carry the functional expert's byline; engineering posts carry the engineer's. Two voices, one company.
No anonymous aggregates. The people who lead your deployment, by name.
A 30-minute deployment review with the people who would actually staff your pod.