ARIS FOR AI ADOPTION

Launch AI with a Trusted Process Foundation

AI and agentic systems only deliver when they run on governed processes with full business context. Without context, AI can misinterpret situations and produce unreliable outcomes. ARIS provides the process intelligence foundation organizations need to deploy AI with confidence.

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Trusted by top global brands

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  • Tesco
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  • alicorp
  • Westfalen Weser
  • Dubai Municipality
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Turn Process Intelligence into AI-led Continuous Improvement.

Organizations often start with static process models and fragmented data. ARIS transforms these into a living digital twin by combining dynamic BPM, process mining, and governed AI—enabling agents to act with context, refine processes safely, and drive continuous improvement across operations.

Create.

Create a governed process foundation with Process Core so AI doesn’t act on assumptions. By unifying processes, systems, roles, and controls in one trusted view, you give AI agents clear rules and boundaries to operate safely from day one.

Discover.

Connect that foundation to real execution with Process Mining. See where work actually deviates, breaks, or creates risk, so AI agents are trained on reality, not static designs, and don’t amplify errors, workarounds, or hidden process debt.

Transform.

Apply agentic AI on top of your dynamic process foundation to scale automation with confidence. Train agents on governed context and live execution so they act consistently, adapt safely, and improve operations over time—without losing visibility, control, or trust.

Benefits:

  • Use AI agents to resolve common service requests like bookings, order status, and billing.
  • Route cases based on AI-derived context from case history and handoffs so they reach the right team with the right information.
  • Learn from recurring service delays and automatically refine routing and resolution steps over time.
  • Analyze real order, inventory, and delivery flows to understand how supply issues actually develop.
  • Flag patterns that signal risk early, such as repeated late shipments or low inventory levels.
  • Highlight where plans need adjusting when demand changes or suppliers miss commitments.
  • Analyze invoice, payment, and posting patterns to identify where delays or blocks are likely.
  • Surface recurring causes of manual effort, such as mismatches, missing data, or approval loops.
  • Flag control or compliance risks early so issues are addressed without bypassing checks.
  • Catch quality issues early by monitoring changes in production steps.
  • Identify repeat patterns behind defects, rework, or quality escapes across sites.
  • Monitor adherence to quality checks as production processes change.
  • Quickly spot process differences that put change at risk, like workarounds or skipped steps.
  • Check whether proposed changes, such as ERP updates, will work in real operations.
  • Catch early when teams slip back into old ways of working after go-live.

Make your organization ready to scale AI

Before scaling AI, you need to know which processes are ready, and which will create risk. See how ARIS reveals your process truth, builds the right foundations, and supports safe, governed AI adoption.

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