Epicor Launches Prism Portfolio of Vertical AI Agents
The new suite enables conversational interaction with ERP systems in Australia and New Zealand.
Updated on Oct. 23, 2026 in Artificial Intelligence
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Epicor has released its new Prism portfolio, a collection of vertical AI agents designed for supply chain industries. The tools are now generally available in the Australian and New Zealand markets.
Why it matters
The portfolio aims to boost operational productivity by reducing manual effort in supply chain workflows. It allows businesses to automate tasks while maintaining human oversight and approval processes.
Epicor Prism integrates directly into existing Epicor Kinetic and Prophet 21 ERP platforms to provide conversational access to data and documents. The agents perform tasks based on natural-language queries while requiring human verification for final actions.
The players
Epicor
An enterprise software company that provides industry-specific ERP, supply chain, and retail business solutions.
The details
By embedding these agents into established platforms, users can interact with complex ERP data through simple conversational prompts. The technology is specifically tailored to address the needs of companies operating within supply chain-heavy industries.
Timeline
October 23, 2026: Epicor Prism becomes generally available.
The Tech Race
This release reflects a broader trend of integrating generative AI agents directly into established enterprise resource planning systems to automate back-office functions. It marks a transition from simple data retrieval tools to active, agentic systems that can perform complex supply chain tasks.
Users in the supply chain sector can expect reduced time spent on manual data entry and document retrieval through the use of natural-language queries. The requirement for human approval ensures that employees retain control over automated decisions while improving workflow efficiency.
The takeaway
Businesses looking to improve efficiency should focus on how conversational AI can bridge the gap between complex ERP data and daily administrative tasks. Effective implementation will depend on staff training for oversight to ensure all AI-assisted actions align with operational standards.
Further reading
For more information on current industry developments, visit our Artificial Intelligence section.
Source note: This article includes information reported by Food Processing.
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