Spark ERP

AI · Automation

Smarter automation, on top of the workflow engine you already have.

The platform's Workflow Engine already handles rule-based approvals and process automation. AI Automation adds a layer on top of it — routing that adapts to content, workflows triggered by an anomaly rather than only a schedule, and prioritization inside the queues you already work from.

AI Automation in Spark ERP Your ERP dataModel providerPermissions Your ERP dataModel providerPermissions Human approvalProposes Audit trailAsk or trigger
AI Automation and its guardrails
Your ERP dataModel providerPermissionsAudit trailHuman approvalAI Automation
How AI Automation works with you
Ask or trigger

A user request or event

1
Grounded

Uses your own records

2
Proposes

A draft, not a silent change

3
You approve

Within your permissions

4
Logged

Recorded for audit

5

Built on the Workflow Engine, not beside it

AI Automation is not a second automation system running alongside the platform's Workflow Engine — it runs through the same action chains, scheduled jobs and approval steps already covered on the Platform page. What AI adds is judgment inside those steps: which path a case should take, and when something is unusual enough to route for a closer look.

What AI adds on top

Smart Routing

Route an approval, a case or a ticket to the right person based on its content and history, not only a fixed org-chart rule.

Anomaly-Triggered Workflows

Start a review workflow when a transaction, request or record looks unusual against recent history — instead of only on a fixed schedule.

Priority Scoring

Order the items already in a queue or inbox by how much they need attention now.

Exception Handling

Recognize a recurring exception pattern and suggest the workflow branch that has handled it before.

See the Workflow Engine this runs on.

AI Automation is one layer on the same approvals-and-process foundation covered on the Platform page.