Acumatica embeds AI across cloud ERP in 2026 R2 update

Acumatica has released version 2026 R2 of its cloud ERP platform for mid-market businesses, adding embedded AI across the software.

The update also introduces a new analytics framework, changes to the user interface, and expanded industry-specific functions for construction, manufacturing, distribution, and eCommerce customers.

ERP suppliers have been under pressure to show that artificial intelligence can work inside routine business software rather than as a separate tool. Acumatica says the latest version places AI features within day-to-day workflows, including functions designed to answer business questions, identify anomalies, automate repetitive tasks, and trigger prompt-driven workflows.

Customers will move automatically to Acumatica's modern user interface under the new release, a change the company says is intended to create a more consistent experience across the platform.

Analytics changes

A central part of the update is a native data warehouse that separates reporting and analytics workloads from the live transactional database. Reports will run against a dedicated copy of ERP data rather than compete directly with order entry, invoicing, and approvals for system resources.

Acumatica is also adding support for connections through the Model Context Protocol, or MCP, which it says lets organisations connect tools such as Claude, ChatGPT, and Gemini directly to Acumatica data. Those connections can operate without exporting or duplicating information in a separate AI workspace.

According to Acumatica, role-based permissions, inherited security, and field-level data masking carry over into those external AI tools. The aim is to let businesses query operational and financial data through different interfaces while keeping governance and audit controls within the ERP environment.

These additions build on Acumatica's existing InsightXL product, which connects Acumatica data to Microsoft Excel. Together, the changes point to a broader effort by ERP vendors to make business data available through dashboards, spreadsheets, and AI-driven interfaces without forcing users to move between disconnected systems.

Industry focus

The release also includes industry-specific changes, an important battleground in the mid-market ERP sector as software groups try to distinguish general business management tools with operational functions tailored to vertical markets.

For construction customers, Acumatica says the new version adds service management and construction exchange applications designed to improve field coordination and project visibility. It also applies AI-assisted tools to document management, reporting, and task automation.

In manufacturing, the company highlighted Shop Floor Kiosk 2.0, APS Engine integration, and production planning updates. Those changes are intended to support scheduling and shop floor execution, alongside AI-assisted insights for production decisions.

Distribution users are receiving available-to-promise functionality, new picking strategies, and unified materials management. In eCommerce, the release includes updates to connector stability, broader BigCommerce functions, and integrations with Acumatica Payments.

Management comments

Jon Pollock outlined the company's view of how AI should be used in business software.

"Growing businesses aren't looking for more AI experiments; they're looking for practical AI solutions that empower teams to work smarter every day," said Jon Pollock, Chief Product Officer at Acumatica. "With 2026 R2, we've embedded intelligent capabilities throughout the platform while continuing to simplify the user experience and deliver deeper innovations tailored to the specific industries our customers serve."

The emphasis on embedded functions rather than stand-alone AI products reflects a wider trend in enterprise software, where vendors are trying to link large language models and workflow automation to finance, operations, and supply chain systems already in use. For mid-market customers, the pitch is often centred on reducing manual work and making existing staff more productive without adding a separate analytics or AI layer.

Acumatica also used the release to stress the role of plain-language prompts in building automated processes. That approach is becoming more common as software companies seek to lower the technical barrier for business users who want to customise workflows or query internal data.

Miten Mehta said the company wants those tools to be easier to use in day-to-day operations.

"We're focused on making advanced AI capabilities easier to apply in the real world," said Miten Mehta, Chief Engineering Officer at Acumatica. "With 2026 R2, we enable our customers and partners to build agents with plain text prompts and generic inquiries. We are giving teams more intuitive ways to access insights, automate routine work, and adapt the platform to how they operate."