Epicor's New AI Aims to Automate the Enterprise, Not Just Advise It
- 85% faster shipment tracking: Epicor's Prism delivers ~85% faster shipment tracking by collapsing multi-system lookups into a single-click, single-view experience.
- 2028 Prediction: Gartner predicts that by 2028, a third of all enterprise software will include agentic AI, with up to 15% of daily operational decisions becoming fully autonomous.
- 70,000 requests/month: Epicor's Prism Knowledge Agent already handles over 70,000 user requests per month.
Experts view Epicor's Agentic AI Stack as a significant step toward autonomous enterprise systems, emphasizing the need for robust governance and ethical AI deployment to ensure responsible automation in complex supply chains.
Epicor's New AI Aims to Automate the Enterprise, Not Just Advise It
AUSTIN, TX – May 19, 2026 – Epicor, a long-standing provider of enterprise resource planning software, has unveiled a new strategy designed to transform its core products from passive systems of record into active systems of execution. At its annual Insights 2026 conference, the company introduced its Agentic AI Stack, a comprehensive platform aimed at embedding AI agents directly into the workflows that power manufacturing, distribution, and retail operations.
The initiative, branded Epicor Prism, seeks to move beyond the industry's current focus on AI-driven insights and copilots, empowering the software itself to take direct, governed action on business processes. "Our customers operate in complex supply chain environments where decisions must be executed quickly and with precision,” said Vaibhav Vohra, President and Chief Product and Technology Officer at Epicor, in the announcement. “Today, with Prism, we’re enabling intelligence that can execute inside the system of record, all while preserving the controls and accountability ERP was built for.”
The Shift to Action-Oriented ERP
The core of Epicor's announcement is the move toward "agentic AI"—a class of artificial intelligence capable of perceiving its environment, planning multi-step actions to achieve a goal, and executing those actions autonomously within predefined boundaries. This represents a significant evolution from earlier forms of automation like RPA, which follow rigid scripts, or predictive AI, which primarily surfaces recommendations for human review.
Epicor's approach is structured around a unified stack:
* Epicor Lux: A design and governance system that provides a consistent framework for how humans and AI agents interact. It enforces security standards and is designed to keep users "in the loop" by clarifying the context, confidence, and potential consequences of an agent's actions.
* Epicor Prism Agent Foundry: A guided, self-service workspace that allows customers and partners to build and customize their own industry-specific AI agents. This addresses the unique needs of different businesses, allowing them to tailor automation to their specific goals using their own data.
* Epicor Prism Agents: A growing suite of pre-built agents designed to tackle high-value, time-intensive tasks. Newly announced agents include tools for analyzing MRP logs, reconciling freight spending discrepancies, and tracking shipments.
This strategic pivot reflects a broader understanding that in the fast-paced supply chain, the time between insight and action is a critical competitive battleground.
An Industry-Wide Race for Autonomy
Epicor is not alone in its pursuit of the autonomous enterprise. The announcement places the company squarely in a market-wide race among major ERP vendors to embed action-oriented AI. Market research firm Gartner predicts that by 2028, a third of all enterprise software will include agentic AI, with up to 15% of daily operational decisions becoming fully autonomous.
Competitors are making similar strategic moves. SAP is advancing its "Autonomous Enterprise" vision with its Joule agents, designed to act as domain experts across business functions. Oracle has been integrating AI agents across its Cloud ERP suite to enable "touchless" financial operations, while Infor has launched its "Built for Industry AI Agents" on the AWS platform.
What distinguishes these new systems is their ability to "close the loop"—not just identifying an issue, like a potential inventory shortage, but also autonomously executing the solution, such as generating and placing a purchase order with an approved supplier based on cost and delivery time analysis.
From Customization to Headless Integration
A key pillar of Epicor's strategy is empowering its users. The Prism Agent Foundry provides a platform for businesses to move beyond off-the-shelf solutions and build their own competitive advantages through custom AI. This democratization of AI development within a governed ERP environment allows companies to create agents tailored to their unique processes without needing a team of dedicated AI researchers.
Underpinning this entire vision is a fundamental architectural shift toward "headless ERP." By decoupling the backend business logic from the traditional user interface, Epicor is enabling AI agents to interact directly with the ERP's core functions through APIs. This allows for seamless integration and automation, as agents can call upon ERP capabilities as a service.
This interoperability is being powered by emerging open standards like the Model Context Protocol (MCP). Initially introduced in late 2024, MCP provides a standardized framework for AI models to securely connect with external tools and data sources, replacing the need for a tangled web of custom connectors. The adoption of MCP by major players, including Epicor and its competitors, signals a pivotal move toward a more open and interconnected ecosystem for enterprise AI.
Balancing Power with Responsibility
As ERP systems gain the ability to act autonomously, questions of governance, control, and accountability become paramount. An incorrect action taken by an AI agent in a complex supply chain could have significant financial and operational repercussions.
Epicor is addressing this challenge through its Lux design system, which serves as the control framework for all agentic innovation on its platform. The system is engineered to ensure every agent behaves like a trusted component of the ERP, with built-in safeguards and transparent communication that keeps human operators informed and in control. This "human-in-the-loop" approach is critical for building trust and ensuring that automation is deployed responsibly.
The company's AI Code of Conduct further reinforces this commitment, outlining principles for ethical development, data privacy, bias mitigation, and security. While Epicor's Prism Knowledge Agent already handles over 70,000 user requests per month, the new generation of action-oriented agents represents a much higher level of responsibility. The success of this technology will depend as much on its safeguards as on its capabilities.
The tangible benefits are already being felt by early adopters. "Prism delivers ~85% faster shipment tracking by collapsing multi‑system lookups into a single‑click, single‑view experience-enabling near‑instant customer responses and higher customer confidence,” noted Daniel Epler, Chief Financial Officer at Tuffaloy Products, Inc. Other customers have reported significant time savings on routine IT and operational tasks, freeing up personnel to focus on more strategic work. With more than 30 additional agents in development for functions ranging from financial planning to sustainability, Epicor is betting that the future of enterprise software is not just cognitive, but actively engaged in driving business outcomes.
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