Spark ERP

Platform · AI

AI built into the business process.

AI on Spark ERP is a platform seam, not a bolted-on feature — an assistant, agents and automation that read and act on the same entity model, workflows and permissions your users already have.

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Spark ERP applications
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How work flows through Spark ERP
Capture

Enter or import once

1
Approve

Route to the right people

2
Process

Apply the business rules

3
Post

Update shared records

4
Report

See it across departments

5

Understand. Predict. Recommend. Automate. Act.

Every AI capability on Spark ERP fits one of five steps: understanding what is happening in your data, predicting what is likely next, recommending an action, automating the routine cases, and — with a person in the loop — acting.

UnderstandPredictRecommendAutomateAct

Ask Spark.

Click a real example to see how it works — every result traces to an explainable rule over your own data.

Ask Spark ERP

Analyzing

    Illustrative example — not a live query against a connected tenant.

    Same data, same permissions, same audit trail.

    Because AI agents act through the platform's own entity model, workflow engine and RBAC — not a side channel — every AI-driven action is subject to the same permission checks and shows up in the same audit trail as a human-driven one.

    See how AI fits the wider platform.

    AI is one of several platform services running on the same architecture as every business application.