AI for SAP S/4HANA.
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.
Your SAP S/4HANA · untouched Mantrix · side-by-side Read-only Approved write-backWhere the margin truth lives.
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.
Why generic AI fails on S/4HANA.
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.
Side-by-side on BTP. No core modifications.
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.
Complement, not competitor.
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.
Concrete workflows, in production.
- Margin leak detection across CO-PA dimensions
- EAC and margin shock early warning on projects
- Inventory-to-floor reconciliation
- Results Analysis anomaly detection
- Settlement and clearing residual monitoring
Every workflow ships with an evaluation suite, approval gates, a full audit trail, and a kill switch — the controls that let a production deployment pass an enterprise security review.
Your first 30 days on SAP S/4HANA.
One decision, one paired-expert pod, four weeks — from read-only access to a governed workflow in production.
- 1Week 1
Read-only access
We connect to SAP S/4HANA read-only — through OData, RFC/BAPI and ODP extraction or side-by-side on SAP BTP, with an agent inside your network for on-premise systems, map your configuration and custom logic, and pick one expensive decision with your team.
- 2Week 2
Ground the data
The data behind that decision is grounded in the Nexus context layer and reconciled against the numbers your finance team already trusts.
- 3Week 3
Build and test
The workflow is built against your live data, with an evaluation suite from test cases your team approves and approval gates mapped to your roles.
- 4Week 4
Into production
Named approvers, the audit trail and the kill switch go live. Approved actions write back to SAP S/4HANA, and we measure the result.
The SAP S/4HANA data behind each decision.
- Universal Journal & FI documentsACDOCA, BKPF and BSEG — every posting at line-item grain.
- Controlling & CO-PACO line items (COEP) and CO-PA billing data — the basis of MARGEN’s margin analysis.
- PurchasingEKKO, EKPO, EKET, EKKN and EKBE — orders, schedules, account assignment and history.
- Inventory & movementsMKPF, MSEG and MATDOC, with stock and valuation from MARC, MARD and MBEW.
- Sales, delivery & billingVBAK/VBAP, LIKP/LIPS and VBRK/VBRP — the order-to-cash chain.
- Projects & productionPROJ/PRPS and AUFK/AFKO/AFPO/AFRU/RESB, with status history from JEST/JCDS.
- Change documentsCDHDR and CDPOS — who changed what, and when.
Mantrix Projex AI — forensic accounting for S/4HANA
Live on AWS Marketplace. It runs entirely inside your AWS account, including GovCloud — offline, with no telemetry.
View on AWS Marketplace- Reads about 40 SAP table types from file exports — ACDOCA, BKPF/BSEG, MATDOC, PROJ/PRPS, EKKO/EKPO, CDHDR/CDPOS and more.
- Journal-entry, project-systems, procure-to-pay and user-activity rules, plus statistical tests such as Benford and CUSUM, and anomaly models.
- Program, document and product margin cockpits, with results analysis: WIP, reserves and losses.
- Read-only. Every finding is hashed and reproducible, with FIPS 140-3 cryptography.
How does Mantrix connect to S/4HANA?
Through standard interfaces — OData, RFC/BAPI and ODP delta extraction — or side-by-side extensions on SAP BTP. For on-premise systems, an agent runs inside your network. Nothing changes in the SAP core, so your RISE posture and upgrade path stay intact.
Will it understand our Z-tables and enhancements?
Yes. Two decades of enhancements encode how your business actually runs. Our functional specialists have configured these structures for years and read them the way your controllers do — nothing gets discovered on your dime.
How does this fit with SAP Joule?
Joule accelerates standard tasks inside SAP. We deploy decision workflows tuned to your configuration, custom logic and cross-system reality, with governed write-back. The two complement each other.
Can Mantrix change data in SAP S/4HANA without approval?
No. Write-back runs through standard BAPIs, and only after a named person approves it. Every action is recorded in Mantrix Gate, a tamper-evident audit log.
Where does our data live?
Your choice: SaaS, your own AWS account, or a VM — in every option, data stays under your governance. Mantrix Projex AI also runs as a hardened image in your AWS account, including AWS GovCloud, fully offline.
Bring us one painful decision inside S/4HANA.
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.