DEBCOR AI Packages · 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.
AP teams, order-management ops, claims intake, and legal discovery still re-key data from PDFs, EDI files, emails, and spreadsheets. DEBCOR's Document AI package replaces that manual labor with agent-driven ingestion — multimodal parsing, business-rules validation, duplicate detection, and human-in-the-loop exception routing. Straight-through processing rates on real DEBCOR deployments run 80–95%+ depending on document quality.
What's in the box
The deliverables.
Multimodal ingestion agents (Claude, GPT-4V) — PDFs, images, handwriting, EDI, CSV, XML, JSON
Declarative, versioned business-rules validation engine
Duplicate detection at ingest time
Exception queue with reviewer UI and resolution playbooks
Straight-through processing metrics (STP rate, cycle time, exception rate)
Full audit trail per document
Who buys this
Buyer profile.
Head of AP / Shared Services
Trigger
Invoice processing costs too much, takes too long
VP Order Management
Trigger
EDI errors and manual re-keying delay shipments
Claims / Intake Ops
Trigger
Backlog of paper and PDF submissions
Legal / Discovery
Trigger
Contract review and extraction is a bottleneck
Delivery
How we deliver.
60–90 days to production per document type. Land-and-expand across document types.
01
Weeks 1–2 · Discovery
Sample 200 documents, agree extraction schema, validate business rules.
02
Weeks 3–6 · Build
Configure parsers, deploy validation engine, wire exception routing.
03
Weeks 7–8 · Go-live
Parallel run, tune to STP target, cutover, 30-day post-launch tuning.
Commercial model
Fixed-scope pilot per document type (60 days), then per-transaction or per-seat.
Optional · Bridge to SAP-native
This is the same architecture behind our SAP Order Validation Engine. When you move to S/4HANA, the ingestion agents extend into IDoc and EDI processing without a rebuild. See the SAP AI practice.
Other packages
Also worth a look.
Trust Your Data
Data Foundation for AI
Master data your AI can actually reason over — deduped, matched, enriched, and continuously monitored.
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.
Scope this package
Talk to a senior AI architect. We'll tell you if this is the right package for your situation — or which one to start with instead.
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