AI for Business Central: The Definitive Guide

The AI landscape for Business Central

The AI ecosystem around Microsoft Dynamics 365 Business Central has expanded rapidly. Microsoft's own Copilot for Business Central provides native AI features like product description generation, bank reconciliation assistance, and general data queries. But Copilot is intentionally general-purpose — it covers many areas lightly rather than going deep on any specific workflow.

Alongside Copilot, a growing number of third-party AI tools target specific BC workflows. Continia Document Capture has been the dominant invoice processing tool for years, though it relies on template-based OCR rather than AI. ReadSoft/Kofax serves the enterprise end of the market with industrial-grade document processing. And Zentriq takes an AI-native approach to procurement: an Agent that can read and write BC data, a PunchOut extension that captures e-commerce carts, and Document Capture that processes invoices without templates.

The key distinction is between tools that use AI as a feature (adding an AI layer on top of existing template or rules-based systems) and tools that are AI-native (designed from the ground up around language models). AI-native tools adapt to new document formats, supplier websites, and user requests without configuration — a fundamental advantage over template-based alternatives.

What AI can do in Business Central today

AI capabilities in Business Central fall into four categories, each at a different level of maturity:

Read data

AI assistants can query any BC data in natural language. Ask “What are the payment terms for vendor 10000?” or “Show me open purchase orders from this week” and get instant answers. This replaces the traditional workflow of navigating to the right page, applying filters, and scanning results. Both Copilot and the Zentriq Agent handle read queries, though Zentriq offers deeper procurement-specific queries like purchase price history and vendor performance data.

Create records

AI can create new records in BC — Purchase Orders, Purchase Invoices, Requisition Worksheet lines, and more — from natural language commands or extracted document data. The Zentriq Agent creates records with a human-in-the-loop pattern: it prepares the record and shows you a preview, then waits for your explicit approval before posting anything to BC. This is a key differentiator from Copilot, which currently offers limited write capabilities for procurement.

Process documents

AI reads business documents — invoices, delivery notes, receipts — and extracts structured data. Unlike template-based OCR, AI-powered extraction works on any document layout from any vendor without prior configuration. Upload a PDF from a supplier you have never processed before, and AI correctly identifies the vendor, line items, amounts, and tax fields. Zentriq Document Capture and newer Continia versions both offer AI-powered extraction, though with different approaches to BC integration.

Capture web data

This is the newest category: AI that reads e-commerce web pages and extracts structured product data. Zentriq PunchOut captures supplier cart pages from any website — reading product names, SKUs, quantities, and prices from the HTML — and creates BC records automatically. This category has no equivalent in Copilot or traditional procurement tools.

What AI cannot do yet

Despite rapid progress, AI in Business Central has clear limitations that responsible teams should understand:

• Autonomous decision-making: AI tools do not and should not make purchasing decisions without human approval. Every write action should require explicit confirmation. Any vendor claiming fully autonomous procurement AI is overpromising.
• 100% accuracy: AI extraction is highly accurate (95%+ for standard documents) but not perfect. Edge cases like handwritten invoices, heavily damaged documents, or extremely unusual layouts can produce errors. Human review remains essential.
• Complex negotiations: AI cannot negotiate prices, terms, or contracts with suppliers. It accelerates data entry and retrieval, but the strategic and relational aspects of procurement remain human tasks.
• Cross-system orchestration: Current AI tools work within BC (and connected web pages), but they cannot orchestrate workflows across multiple ERP systems, banking portals, or supplier relationship management platforms in a unified way.
• Regulatory compliance judgment: While AI can enforce configured rules and flag anomalies, it should not be the sole arbiter of compliance decisions. Audit, regulatory, and legal judgment must remain with qualified humans.

The most effective AI procurement setups follow a human-in-the-loop pattern: AI handles data entry, extraction, and retrieval at machine speed, while humans make decisions, approve actions, and handle exceptions. This is the design philosophy behind the Zentriq Agent's approval-before-posting approach.

AI tools compared

Choosing the right AI tool depends on your specific needs. Here is how the major options compare:

• Zentriq vs. Continia Document Capture — template-based OCR vs. AI-powered extraction
• Zentriq vs. Traditional EDI & PunchOut — per-supplier integration vs. universal cart capture
• Zentriq vs. ReadSoft / Kofax — enterprise OCR vs. AI-native document processing
• Zentriq vs. Microsoft Copilot — general-purpose AI vs. procurement-specific automation

See also the full alternatives analysis:

• Continia alternative
• EDI & PunchOut catalog alternative
• ReadSoft / Kofax alternative
• Copilot for Business Central alternative
• Manual data entry alternative

For a broader survey, read: Business Central AI tools in 2025.

AI use cases for Business Central procurement

Each use case below shows a specific procurement workflow that AI can automate or accelerate in Business Central:

• Automate purchase orders — create POs from cart captures or natural language commands
• AI invoice processing — extract invoice data and create Purchase Invoice drafts from PDFs
• PunchOut without EDI — capture any supplier cart without cXML or OCI protocols
• AI assistant for Business Central — query BC data and create records in natural language
• Supplier onboarding automation — build vendor records and item references progressively with AI
• Reduce procurement errors — eliminate manual transcription mistakes with AI extraction
• Requisition worksheet automation — populate BC worksheets directly from e-commerce cart data
• Multilingual procurement — use AI in English, German, French, and more

How-to guides

Step-by-step guides for procurement tasks in Business Central — covering both the manual process and the AI-powered shortcut:

• Create a purchase order
• Process a purchase invoice
• Set up the Requisition Worksheet
• Set up item references
• Connect an AI assistant to BC
• Automate vendor invoice matching
• Set up approval workflows
• Create a blanket purchase order
• Track purchase order status
• Set up vendor bank accounts
• Use dimensions on purchase orders
• Process purchase returns and credit memos

Key concepts

Glossary of essential Business Central procurement terms — each explained with AI context:

• Purchase Order — the formal commitment to buy
• Purchase Invoice — the vendor's bill recorded in BC
• Requisition Worksheet — the planning tool before POs
• Vendor (Supplier) — the master data record for each supplier
• Item Reference — cross-references between vendor SKUs and BC items
• PunchOut Catalog — traditional and AI-powered approaches
• cXML — the XML protocol for B2B procurement
• Three-Way Matching — PO vs. receipt vs. invoice verification
• Approval Workflow — configurable approval chains in BC
• Document Capture (OCR) — extracting data from invoices and receipts
• Vendor Ledger Entry — the financial transaction log per vendor
• Payment Terms — when and how vendor invoices must be paid
• Goods Receipt — recording received items against a PO
• EDI — electronic data interchange between trading partners