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UTERA

AI that takes part in the business process.

AI should not live in a disconnected chatbot. It becomes valuable when it understands enterprise data and works inside actual business processes.

From a document to a posted transaction.

  1. Station 1DocumentInvoice, packing list, certificate
  2. Station 2AI extractionReads and classifies
  3. Station 3Business validationChecked against SAP data and rules
  4. Station 4SAPPosted through the standard process
  5. Station 5AutomationFollow-up steps run on their own
  • Connected to enterprise data

    The AI checks what it reads against purchase orders, materials, vendors and specifications in SAP.

  • People stay in control

    Confident results flow through. Uncertain ones go to a person, with the source document beside the extracted values.

  • It learns your business

    Corrections are stored per vendor and per rule, so the same mistake is not made twice.

  • It ends in a transaction

    The output is a posted document in SAP, not a summary in a chat window.

AI and intelligent automation

AI should not live in a disconnected chatbot. It becomes valuable when it understands enterprise data and takes part in actual business processes.

We build AI into the flow of work: a document arrives, the AI extracts and classifies it, business rules validate the result against SAP, a person confirms what is uncertain, and the transaction is posted. Corrections feed back, so the system learns each vendor's documents and your rules over time.

  • AI Agents
  • Enterprise AI
  • AI-assisted business processes
  • Document Intelligence
  • Document Extraction
  • OCR
  • PDF understanding
  • Invoice extraction
  • Packing list extraction
  • Certificate extraction
  • Business document classification
  • AI-assisted validation
  • Human-in-the-loop workflows
  • AI connected to SAP business processes
  • Vendor-specific learning
  • Business rules learned from corrections
  • Enterprise knowledge assistants

Python and intelligent services

Some work does not belong inside the ERP: parsing a 40-page PDF, calling a language model, crunching machine data. We build those pieces as focused Python services and connect them to SAP through well-defined interfaces.

SAP stays the system of record. The services around it do what they are best at.

  • Python
  • AI services
  • Data processing
  • Document processing
  • Machine learning integrations
  • Enterprise APIs
  • Microservices
  • Automation services
  • Backend services

Document intelligence in practice.

Delivered project

AI-assisted sales order creation

AI & Automation, SAP Fiori & Web Apps, Document Intelligence

Customer purchase orders are read by AI agents that resolve part numbers to SAP materials and pull prices from the quotation. The sales desk confirms in one fast web screen, and the order is created in SAP.

  1. Customer document
  2. Reading agent
  3. Material agent
  4. Pricing agent
  5. Review
  6. SAP sales order

Delivered project

Certificates of analysis read by AI

AI & Automation, Document Intelligence, Quality

Supplier certificates of analysis are read by AI, the measured values are matched to the SAP inspection lot, and quality staff follow every document from arrival to recorded results in one web screen.

  1. Certificate
  2. AI extraction
  3. Inspection lot
  4. Comparison
  5. Results recorded

Delivered project

Hazardous substance data from safety data sheets

AI & Automation, Document Intelligence, Quality

Safety data sheets are read by AI and turned into complete hazardous substance master records in SAP. Classifications, hazard statements and storage rules come from the document itself.

  1. Safety data sheet
  2. AI reading
  3. Mapping
  4. EHS review
  5. SAP

Start with the process. We will bring the technology.

Describe what is slow, manual or on paper in two lines. No deck, no sales pitch: you get a reply from an engineer with how we would approach it.

Usually answered within one working day