Starting Packages
Each package deploys on your native ERP today — Oracle, NetSuite, Microsoft Dynamics, Salesforce, or any stack you run — and delivers a working production system in 4–16 weeks.
Published pricing on every package page.
Intelligent Document & Transaction Ingestion
Your invoices, orders, and forms arrive as PDFs, EDI files, and emails — and today, someone retypes them. The system reads, validates, and posts them automatically; your people only touch the exceptions.
Potential day-one value
+$353,600/yr freed
Directional — depends on your situation and the volume of manual work affected. Model this on the package page.
6–8 weeks
See the packageNatural-Language Business Intelligence
Ask “what were margins by region last quarter?” and get the answer, with its source, in seconds — instead of filing a ticket and waiting weeks for a dashboard.
Potential day-one value
+$234,000/yr freed
Directional — depends on your situation and the volume of manual work affected. Model this on the package page.
6–8 weeks
See the packageCompany Knowledge Layer
Meetings, decisions, and project documents flow into one searchable company memory. Ask “what did we agree with that vendor in March?” and get the answer with the source — even after the person who knew has left.
Potential day-one value
+$214,500/yr freed
Directional — depends on your situation and the volume of manual work affected. Model this on the package page.
8–12 weeks
See the packageData Foundation for AI
The same customer entered five different ways across your systems is why your reports disagree and your AI guesses wrong. We merge everything into one clean version of the truth — and keep it clean automatically.
Potential day-one value
+$172,380/yr freed
Directional — depends on your situation and the volume of manual work affected. Model this on the package page.
6–10 weeks
See the packageAI-Powered System Migration
Changing CRM or HR systems means moving years of messy data — the part that blows budgets. AI does the mapping and cleanup, so data loads right the first time: 90%+ first-pass rates.
10–16 weeks
See the packageCustom AI Agent Development
A digital employee for exactly one job — matching invoices to purchase orders, working AR disputes, or triaging support tickets — all day, every action logged, a human approving anything unusual.
8–12 weeks
See the packageStart here
AI Strategy & Readiness Assessment
In three to four weeks: a ranked list of which AI projects will pay off on your systems, which won't, what order to run them in, and what each will cost.
3–4 weeks to a decision-ready roadmap
See the packageDEBCOR is a software manufacturer. Every package on this page began as a system we built, hardened, and ran in production for enterprise clients — then productized. Fixed scope and fixed price are possible because the engineering risk has already been retired: we are deploying proven architecture, not discovering it on your budget.
Each package ships with the controls enterprise buyers require: audit logging, human-in-the-loop checkpoints, escalation paths, and full validation reporting. Governed by design, because production systems answer to auditors, not demos.
One bench, every scale. The same architecture that runs at a 2,000-person manufacturer runs at a 40-person organization — scoped, not diluted. S-tier packages deploy DEBCOR’s proven playbooks with fixed configuration; M and L tiers extend the same systems into complex landscapes. Published tiers are possible for the same reason fixed pricing is: the engineering risk is already retired at every size.
Every package runs stack-agnostic today. When your roadmap includes SAP — a new S/4HANA program, a RISE migration, a post-acquisition consolidation — the same package bridges to SAP-native: BTP-deployed, clean-core compliant, integrated with SAP’s AI stack. DEBCOR holds SAP’s Expert-tier Business Data Cloud, SAP Business AI Platform (formerly SAP BTP), and Business Transformation Management competencies, so the bridge is engineered by the same team that built the original system. Your AI investment compounds across the re-platform instead of dying in it.
See the SAP AI practice →The Assessment identifies where to start. The Data Foundation makes every downstream package smarter. Ingestion feeds the Foundation continuously. The Knowledge Layer gives agents context; Ask Your Data gives leadership visibility into all of it. Each package works alone. Sequenced together, they compound.
For SAP customers
DEBCOR is an approved delivery partner in SAP’s partner-led AI adoption programs. Depending on your SAP relationship and roadmap, engagements may qualify for SAP incentive funding. We’ll assess eligibility during scoping — no commitment implied until SAP confirms.
Read the announcement →Common questions
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.
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.
Scope compresses down, not features get removed. S-tier is playbook-driven — a single senior engineer delivers against pre-built accelerators against a fixed configuration boundary. M-tier extends the same systems for landscapes with multiple sources, custom rules, and integration complexity. L-tier is the full enterprise engagement: dedicated environments, SOC 2 wrap, roadmap co-development, and — for SAP customers — clean-core BTP integration. Same architecture at every size; the engineering risk is retired at each tier. See each package page for its S/M/L pricing.
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.
Most engagements start with the Readiness Assessment (if you need a defensible plan before spending) or Data Foundation (if your master data is questionable). Document AI is the highest-ROI operational win. Custom Agents is where P&L moves fastest once your foundation is in place.
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).
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.
Talk to a senior DEBCOR architect. We’ll tell you which package fits your situation — or that you should skip straight to a Custom Agent.
