Decision Logic Launched Open Semantic Access

The software provider released a new tool to help restaurant operators integrate AI with their internal data.

Updated on Sept. 23, 2026 in Dining Out

Decision Logic Launched Open Semantic Access

Live Poll

Do you believe restaurant operators should have full control over their data for AI use?

Decision Logic has introduced Open Semantic Access, a service designed to provide restaurant operators with direct, read-only access to their back-of-house operating data. The new capability includes data definitions to help businesses streamline the integration of their internal information with external AI tools.

Why it matters

By providing data with context, this service removes common technical barriers that prevent restaurants from effectively utilizing AI tools for analysis. It allows operators to gain insights without the need for additional business intelligence software or expensive custom reporting.

The new access tool is available to customers at no additional charge, with no per-location fees. The service is expected to reduce the time required to move from data-driven questions to actionable answers by a factor of three to four.

The players

Decision Logic

Decision Logic is an Omaha-based company that provides back-of-house operations software for the restaurant industry.

The details

Operators in Omaha and elsewhere can now utilize their own AI tools to analyze exported operating data, supported by the system's embedded definitions. This approach aims to eliminate the financial burden of purchasing separate business intelligence platforms, which could otherwise cost organizations roughly $300 per restaurant annually.

September 23, 2026: Decision Logic launched Open Semantic Access.
FSTEC 2026: Operators can view the system live at the booth.

Culture Shift

This development aligns with the ongoing integration of automated analytics tools into restaurant management, a trend highlighted at the FSTEC 2026 industry event. It reflects a broader shift toward making operational data accessible for machine-learning applications rather than relying on proprietary reporting suites.

Restaurant owners can now reduce their reliance on third-party analytical tools, potentially lowering annual operational overhead. By simplifying data access, the platform allows management teams to derive insights into labor and inventory costs more quickly.

The takeaway

Adopting AI-ready data structures can significantly accelerate decision-making processes for hospitality groups. Operators should evaluate their current business intelligence spending to see if internal tools can replace expensive third-party reporting services.