Evidence-First AI for Infor SyteLine

Every number arrives with the SQL that produced it.

Ask a question in plain English, such as which customer orders are past due at your site, and SyteRay answers from your live SyteLine database, not a stale export. What makes it different from a generic chatbot is the evidence contract: every answer ships with the exact SQL that was executed and the source tables it read, so anyone can verify the number instead of trusting it.

Under the hood, questions are grounded in a compiled schema pack (1,970 tables on the reference deployment) and validated by a query enforcer before anything runs. Queries that reference tables or columns that do not exist in your database are rejected and regenerated, which is how SyteRay avoids the confident-but-wrong answers that make generic AI unusable against an ERP.

One prompt, a structured report drawn from across your ERP.

Some questions cannot be answered by one query: what is really going on with a customer, an item, or a vendor requires joining orders, shipments, invoices, quality records, and history. SyteRay's Deep Research mode runs a multi-table investigation across your SyteLine database and assembles the findings into a structured, consulting-style report, with live progress updates while it works.

The result reads like an analyst's brief: an executive summary, the supporting detail, and the evidence behind each finding. It turns hours of manual cross-referencing across SyteLine forms into a single request.

8,636 procedures cataloged and effect-classified on the reference deployment.

Decades of SyteLine customization live in stored procedures that nobody fully remembers. SyteRay crawls your procedure catalog and classifies every procedure's side effects: what it reads, what it writes, what other procedures it calls, and the transitive effects of those calls. On the reference deployment that meant 8,636 procedures cataloged and safety-classified, with 799 escalated by transitive effect analysis alone.

The payoff is twofold. Developers get instant impact analysis (what breaks if this table changes, which procedures touch this column) and SyteRay itself uses the effect classification as a safety gate: procedures with write effects are treated with the same governance as record edits.

Built for SyteLine CSI 10 on-premise. Your data never leaves.

SyteRay is built for on-premise Infor SyteLine / CloudSuite Industrial 10 on Microsoft SQL Server, and it deploys inside your network, in your data center or private cloud. Inference can run on local models, so fully air-gapped operation is a supported configuration, not an afterthought.

For manufacturers under ITAR, CMMC, or customer flow-down constraints, this is the difference between an AI project that passes security review and one that dies there. The data flow diagram is short: your ERP, your server, your network.