DEBCOR AI · Outcome-First Packages
AI outcomes for the modern enterprise — built by engineers who know enterprise systems.
Seven productized AI packages, delivered on your current stack. Built on the same five-layer agent architecture that powers our SAP practice. Optional migration path to SAP-native when and if you get there.
Any stack
Salesforce, NetSuite, Workday, Snowflake, a homegrown DB, or a mix. If your data lives somewhere, our agents work with it.
Production, not pilots
Fixed-scope 60–90 day builds. Golden-set validation before go-live. Governance and audit shipped with every agent.
SAP-ready
Every package migrates into SAP-native (Joule Studio 2.0, MCP connectors) if and when you get there. Not required.
The seven packages
Pick the outcome. We deliver against it.
Trust Your Data
Data Foundation for AI
Master data your AI can actually reason over — deduped, matched, enriched, and continuously monitored.
Kill Manual Data Entry
Intelligent Document & Transaction Ingestion
Every inbound document — invoice, order, claim, contract — turns into a validated record in your system of record, with exceptions routed to humans instead of silently swallowed.
Institutional Memory
Company Knowledge Layer
Your organization's tribal knowledge — SOPs, wikis, Slack, tickets, meeting recordings, contracts, emails — is captured, structured, and queryable by employees and AI agents.
AI That Runs a Process
Custom AI Agent Development
A single bounded, governed AI agent that owns a specific business process end-to-end — humans on escalation, not on every step.
AI Migration Cockpit
AI-Powered System Migration
Move data from a legacy system into a new one — CRM to CRM, HRIS consolidation, DB re-platforming — at 90%+ first-pass load rates, in a fraction of the manual effort.
Ask Your Business
Natural-Language Business Intelligence
Executives and operators get answers to business questions in seconds, in natural language, with cited sources — not another dashboard nobody looks at.
AI Ready in 30 Days
AI Strategy & Readiness Assessment
An honest, engineering-led assessment of where AI creates measurable P&L value in your specific environment — and a prioritized 12–24 month roadmap with sequencing, resourcing, and infrastructure gaps identified.
One firm · Two practices
The same platform. Two entry points.
DEBCOR ships AI systems where enterprise data actually lives — SAP is the hardest instance, which is why we lead there. Our SAP practice delivers AI inside S/4HANA, Joule, and BTP for organizations transforming on SAP. These packages deliver the same outcomes on any stack for organizations whose AI needs sit outside — or alongside — an ERP transformation. The technology, the team, and the governance model are identical. What changes is the entry point.
Common questions
What buyers ask.
Do we need to be on SAP to buy these packages?
No. Every package here is delivered on your current stack — Salesforce, NetSuite, Oracle, Workday, Snowflake, a homegrown DB, or any combination. DEBCOR's platform is stack-agnostic. If you also happen to run SAP, the same agents extend into your SAP landscape without a rebuild.
How are these different from the DEBCOR SAP products?
Same platform, different frame. Our SAP product suite (AI Data Engine, Order Validation Engine, Memoria, Joule agents) is packaged for buyers who see themselves as buying an SAP project. These packages are packaged for buyers who see themselves as buying an AI capability — where the enterprise system is one integration point, not the whole project.
What's the 'bridge to SAP' story about?
It's optional. If you're on a non-SAP stack today and never plan to move, ignore it. If you're considering S/4HANA or your board is discussing an ERP consolidation, the packages you deploy now migrate into the SAP-native versions (Joule Studio 2.0 agents, MCP-connected worker agents) without a rewrite — because it's the same underlying architecture.
Which package should we start with?
Most engagements start with Data Foundation (if your master data is questionable) or the AI Readiness Assessment (if you need a defensible plan before spending). Document AI is the highest-ROI operational win. Custom Agents is where P&L moves fastest once your foundation is in place.
What technology do you use?
Python, LangGraph for agent orchestration, Anthropic Claude as the primary reasoning model with OpenAI GPT / Google Gemini / xAI Grok for model routing, Supabase (or your chosen store) for vectors and application data, MCP for system connectivity, and Next.js for any review or chat interfaces. Every deployment is governed by DEBCOR's five-layer architecture (orchestration, intelligence, worker, governance, auditing).
Where does DEBCOR sit in the AI vendor landscape?
DEBCOR is an Anthropic Preferred Services Partner and an SAP Gold Partner with three patents pending in enterprise AI integration. We are an engineering firm, not a reseller or a body shop — we build and ship AI systems that run in production against real enterprise data.
Ready to scope one?
Talk to a senior AI architect. We'll tell you which package fits your situation — or that you should skip straight to a Custom Agent.
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