Decision workflows tuned to your actual configuration — your Z-tables, your derivation logic, your close calendar — deployed by engineers who sit next to people who have closed books in SAP for twenty years.
Meaning is stripped from SAP data the moment it is extracted. We re-ground it — in the structures your finance team actually trusts.
Every margin question ends here. We ground models in the Universal Journal — actual line items, not extracts that lost their meaning.
Profitability characteristics and derivation logic decide what your margin reporting means. Our models read them the way your controllers do.
On project and long-cycle business, revenue truth lives in Results Analysis — WIP, reserves, and EAC. We treat it as a first-class signal.
Inventory AI that ignores PMMO and project stock ownership is blind on project manufacturing. Ours is built for it.
Goods movements, reconciliation to the floor, and inventory positions — read live, reconciled continuously.
The difference between what a table stores and what it means is where enterprise AI projects die. Our functional specialists have configured these structures for decades — nothing gets discovered on your dime.
Two decades of enhancements encode how your business actually runs. Generic AI has never seen them.
CO-PA derivation logic silently shapes every profitability figure. Models that skip it corrupt margin answers.
Timing matters. A model that cannot tell mid-close from post-close reports the wrong truth with confidence.
Group vs. company code vs. profit center valuation — the same table stores different truths. We keep them straight.
AI workloads are delivered through side-by-side extension patterns on SAP BTP — never core modifications. Your RISE posture and your upgrade path stay intact.
Joule accelerates standard tasks inside SAP's walls. We deploy decision workflows tuned to your specific configuration, custom logic, and cross-system reality — with client-controlled models and governed write-back. We make your SAP AI strategy work on your actual system.
Every workflow ships with an evaluation suite, approval gates, a full audit trail, and rollback — the controls that let a production deployment pass an enterprise security review.
In 30 days we will determine whether AI and data can materially improve it, build the workflow against your actual data, measure the result, and show you exactly what should go into production.