AI Document Intelligence & Integration, Built for Infor SyteLine
Vector reads incoming purchase orders, RFQs, and vendor invoices and turns them into accurate, validated documents inside Infor SyteLine and CloudSuite Industrial.
No template training. No layout mapping. No rekeying.
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The Authority in Enterprise Performance
Vector is a Microsoft-Native Application
Every AI model reads your documents differently. That's a problem.
Drop a purchase order into Copilot, ChatGPT, Claude, Gemini, or Grok, and you’ll usually get a reasonable answer. But as documents get messier (mixed formats, poor scans, handwritten notes, foreign languages, free-form email bodies), those answers start to diverge. Each model makes its own assumptions. Each handles ambiguity differently. Some refuse outright.
The real question isn’t whether AI can read a document. It’s which answer do you trust enough to write into your ERP?
Most manufacturers running Infor SyteLine or CloudSuite Industrial are still keying customer POs, RFQs, and vendor invoices by hand. It doesn’t scale, and single-model AI tools don’t fix it. They just move the guesswork earlier in the process.
So we built a multi-model integration platform that blends the strengths of multiple AI models across multiple providers, matches extracted data against ERP master data, routes exceptions for human review, and writes verified results back to the ERP.
No other platform on the market does this full pipeline.
Smart Solutions.Real Impact.
Vector is built to:
- Exclude unnecessary documents prior to extraction
- Reduce time-consuming manual data entry across POs, RFQs, and invoices
- Accelerate order fulfillment, quoting, and invoice processing
- Improve transaction accuracy and consistency across every trading partner
- Catch mismatches and exceptions before they ever reach ERP writeback
- Reduce repetitive ERP system calls and administrative burden
- Preserve human oversight exactly where it matters — not everywhere
How Vector Works
From inbox to validated ERP transaction in 8 stages.
Vector doesn’t just extract text. It runs every document through a configurable pipeline that classifies, extracts, matches, validates, and writes the result back to SyteLine — with a human only where a human is actually needed.
Exclude
Reads the email and attachments, filters out what doesn't matter
Extract
Multi-model AI pulls data from PDFs, spreadsheets, HTML, and email bodies — no layout training required
Match
Exact, fuzzy, and AI-assisted matching against your ERP data — customers, items, addresses, pricing, history
Validate
Confirms the match actually meets your criteria — is the customer on hold, was it received, is the price right
Queue
Holds documents that are waiting on something — an item not yet received, a transaction not yet ready
Review
Routes true exceptions to a person, with the missing or conflicting data flagged
Write
Writes the verified transaction to SyteLine via REST API (IDO)
Confirm
Combines ERP data with AI-generated communication back to the requester.
Because every stage is configurable by tenant and by document type, Vector doesn’t force a handwritten purchase order through the same steps as a clean, typed one. It adapts the pipeline to what the document actually needs.
Why Multi-Model Ai?
One model isn't enough. Vector uses the right one for every stage.
There are more than 60 commercially available large language models on the market today. Vector doesn’t bet your ERP data on one of them. It evaluates the field and assigns the best-fit model to each stage of the pipeline — extraction, validation, matching — optimizing for accuracy, speed, and cost at every step.
And when a model refuses to process a document — because it flags regulated content like industrial chemicals or controlled substances — Vector automatically hands the job to a different provider’s model. Your team never sees the refusal. They see a processed document.
This is what “AI document intelligence” should mean: not one model’s best guess, but a pipeline that checks its own work.
Model Options Today:
Anthropic and OpenAI, with the architecture built to add others as the market changes.
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Built Specific for Infor SyteLine
AI document automation for on-premises Infor SyteLine — not just CloudSuite
AI document automation solutions are designed primarily for cloud ERP environments. For manufacturers running SyteLine on-premises or hosted, that can significantly limit their options.
Vector was designed differently. It extends AI-powered document automation across SyteLine deployment models, giving manufacturers greater flexibility without requiring an ERP migration.
Vector is architected to connect to CSI via IDO REST regardless of hosting model — on-premises, hosted, or cloud. That’s proven today in production on-premises deployments, with controlled rollout to hosted and cloud customers underway.
Function App layer
Godlan's own Azure Function Apps normalize SyteLine's non-standard REST authentication, wrapping complex IDO methods into clean execution that Power Automate and other Microsoft tools can actually use.
Prompt-driven, schema-driven extraction
Adding a new field to extract (payment terms, hazmat classification, certification numbers) is a line in a prompt and a column in a schema. No retraining, no template redrawing, no professional services engagement.
Per-tenant, per-document-type configuration
A clean, typed-invoice customer runs a cost-efficient pipeline. A customer receiving 100% handwritten POs skips straight to the most capable model. Both are configuration changes, not code changes.
Modules
Three use cases. One pipeline.
Purchase Order
Sales Order
- Vector reads the email and every attachment for all processes (POs, Quotes, Invoices) — PDF, Excel, HTML, or plain text
- Extracts customer, part, price, quantity, and ship-to — matches it against your ERP data
- Writes a verified sales order to CSI
*Handwritten orders and non-English documents are translated and extracted on the fly.
Quote
Estimate
- Incoming requests for quote are read,
- Matched against PO line items and pricing,
- Written to CSI as a verified or flagged-for-review estimate
…Ready for your team to finalize.
Invoice
Match
Voucher
- Matches invoice line items against PO item (quantity, price, and receipt status),
- Validates your business rules,
- Writes a verified voucher OR Routes the exception
…with items not yet received automatically queued instead of rejected.
Core value: 98% extraction accuracy on machine-generated purchase orders and invoices — the majority of inbound volume for most mid-market manufacturers.
Why Vector is Different
Go beyond basic document extraction with intelligent, multi-model automation built for manufacturing ERP.
Not all AI document automation solutions are built the same. Many rely on a single model or extraction engine (which require AI training), offer limited flexibility, or stop once information has been pulled from a document. Vector goes further. It combines multiple AI models with ERP-aware matching, validation, exception handling, and writeback to create a complete document-to-transaction workflow.
Architecture
Traditional AI Document Solutions
Often rely on a single AI model or extraction engine, leaving one model to interpret the document and determine the result.
Uses a multi-model AI pipeline that can extract, validate, cross-check, and escalate across multiple AI providers, helping improve accuracy and resilience.
Deployment Flexibility
Traditional AI Document Solutions
May be limited by ERP version, deployment model, cloud requirements, or vendor-specific architecture.
Architected for Infor SyteLine across on-premises, hosted, and CloudSuite environments, giving manufacturers a path to AI-powered document automation without requiring an ERP migration.
Cost Visibility
Traditional AI Document Solutions
May require additional platform licensing, bundled services, or broader technology investments before document automation can be deployed.
Provides per-document cost tracking by tenant and document type, giving organizations greater visibility into usage and cost without requiring a prerequisite licensing tier.
Control & Flexibility
Traditional AI Document Solutions
Model selection, processing logic, confidence thresholds, and release cycles may be determined by the solution provider.
Provides configurable model selection, cascade behavior, confidence thresholds, validation rules, and compliance options so the workflow can adapt to your business requirements.
ERP Integration
Traditional AI Document Solutions
Often focus primarily on extracting information, leaving integration, validation, and ERP transaction creation as separate steps.
Connects document intelligence directly to SyteLine business logic and master data, matching and validating information before writing verified transactions back to the ERP.
Built for Your Business
Traditional AI Document Solutions
Customization may require templates, retraining, development work, or additional professional services.
Supports configuration by tenant and document type, allowing workflows, prompts, models, validation rules, and exception handling to adapt as business requirements change.
Trust & Compliance
You control what Vector sees.
Vector processes everyday commercial documents and connects them to your ERP, including ERP environments in GovCloud or on premises.
You choose what Vector receives
Forward only the emails you want processed. Messages, attachments, extracted data, and processing results all live in your SharePoint. Vector sends the relevant content to Anthropic or OpenAI models to identify, extract, and match it to your business records. Your team reviews and corrects information in familiar SharePoint lists.
Your ERP controls what Vector can access
Expose only the data Vector needs. For example, limit A/P invoice matching to 30 approved vendors. Their purchase orders stay available, and every other vendor’s stay out of reach. The restriction is enforced at the ERP connection.
Token-based access. No ERP password
Vector connects through your ERP’s supported REST interface using a token stored in Azure Key Vault. It never receives your ERP password.
Built on Microsoft 365 and Azure.
