DEBCOR Engineering®

The DEBCOR AI Platform

The platform behind 90%+ load rates and agents that run in production.

Not pre-trained on someone else's landscapes — grounded in yours. Five agent layers with governance and auditing built in, running in client engagements for 18 months before SAP announced the same stack at Sapphire 2026. Senior architects make the decisions; the platform compresses the work.

5%→90%+data migration load rates
65–80%less blueprint effort
85%of discovery done in weeks
3patents pending

The Architecture

Five layers. Two of them exist so your auditors sleep.

Most agent demos are a model with API access. A production SAP agent architecture is a governed system — and governance isn't a feature we added, it's two of the five layers.

1

Orchestration Agents

Route work, sequence steps, and coordinate multi-agent flows — including A2A handoffs to SAP's native agents.

2

Intelligence Agents

Reason over your landscape and your data — grounded in the client's actual SAP system, not a generic model.

3

Worker Agents

Execute: cleanse master data, validate orders, classify custom code, reconcile data loads.

4

Governance AgentsTrust layer

Enforce access policy, SoD controls, approval routing, and compliance thresholds — every proposed action validated before it executes.

5

Auditing AgentsTrust layer

Produce tamper-evident audit trails for every agent action — built for SOX, GDPR, PCI, and regulated industries.

The stack SAP just announced. In production here for 18 months.

LangGraph, n8n, and Anthropic Claude, connected to SAP via MCP and Integration Suite — the same combination SAP brought into Joule Studio at Sapphire 2026. DEBCOR is an Anthropic Claude Preferred Services Partner, recognised for production SAP AI on Claude.

Two build tracks. Both production-grade.

Native: Joule Studio 2.0 agents for RISE customers — activating the entitlements already in your contract. External: LangGraph / n8n / Claude agents via MCP for the use cases Joule doesn't cover natively yet.

The AI Catalyst Framework

Why DEBCOR programs run faster.

The slow part of every SAP program is the foundational work — discovery, blueprint, data quality, custom code classification. That is exactly the work AI compresses most. Senior architects spend their time on decisions, not spreadsheets.

85%

of discovery completed in weeks, not months

AI-powered landscape inventory — every Z-program, user exit, enhancement, and integration catalogued before the plan is written.

65–80%

less blueprint and design effort

The Catalyst Framework drafts from your actual landscape; architects review and decide instead of authoring from blank pages.

5%→90%+

data migration load rates

AI cleansing programs and a custom BTP migration cockpit — proven on a Fortune 500 insurer's stalled pipeline.

The baseline was already fast: a 4-month ECC-to-S/4HANA migration delivered before this tooling existed. The platform compresses the foundational work further — it doesn't replace the senior team that made the baseline possible.

Company Intelligence Layer

An AI layer that learns your system — and compounds.

Generic AI knows SAP. The Company Intelligence Layer learns your SAP — your customisations, your data shapes, your failure patterns. Inside managed services engagements it makes every quarter of support smarter than the last, instead of merely maintaining. It's the difference between a vendor that answers tickets and a platform that accumulates your institutional knowledge.

The Receipts

Named clients. Documented numbers.

McLarens — 5% to 90%+ load rates

Inherited a data migration pipeline at a 5% load rate on a stalled global programme. AI cleansing programs and a custom BTP migration cockpit drove it past 90% within months — and the go-live announcement named deBCor Engineering alongside SAP and the programme partners.

iFIT — the senior-led baseline

ECC to S/4HANA in four months, zero revenue loss, 10× order volume held on day one — delivered before this platform existed. That's the team the platform multiplies, not a result it claims.

See it on your data.

Bring a slice of your landscape — a messy material master, a stalled data load, a pile of unclassified Z-code. We'll show you what the platform does with it.