Tenzo launches AI Connector for hospitality operators

Tenzo has launched an AI Connector for hospitality operators that works with major large language models.

The software is designed to let restaurant and hospitality teams ask questions in plain English about live sales, labour, inventory and operational data. It is intended to reduce the need for managers to switch between multiple systems, dashboards and reports to answer routine trading and staffing questions.

Hospitality groups often use separate tools for point-of-sale, labour scheduling, stock management, reviews, reservations and staff feedback. That fragmented set-up can leave site managers and central teams waiting for weekly reports or relying on analysts to pull together figures from across the business.

Tenzo says its connector lets operators use the large language model of their choice to query a single structured layer of business data. According to the company, that layer brings together information from different systems and presents it with hospitality-specific context, allowing models to interpret measures such as labour percentage, covers and like-for-like performance across sites.

The product is built on the Model Context Protocol standard, making it compatible with Claude, ChatGPT, Gemini and other large language models rather than tying customers to one model.

Questions the tool is intended to handle include why labour costs were high on a given day, which trading hours are most profitable and what site teams should prioritise on a particular day. Users can also ask for summaries of end-of-day reports from general managers, comparisons between average spend per head at different sites, and multi-site daily operations reports using point-of-sale discount data and end-of-night logs.

Data access

Tenzo says the connector applies permissioned access controls so data is available only to users who need it for their role. It also uses secure connections when linking business data to language models.

The launch comes as operators face pressure to make quicker decisions on staffing, margins and site performance while dealing with growing volumes of data. In many multi-site hospitality businesses, managers have no shortage of information, but it is spread across separate software products that are not always easy to analyse together in real time.

One use case highlighted by Tenzo involves a General Manager investigating a labour variance. Rather than waiting for a scheduled report, the manager could ask the system directly and receive an answer based on point-of-sale, labour scheduling and reviews data.

Tenzo positions this as a shift away from dashboards and towards direct answers. It also reflects a broader trend in business software, as companies try to connect operational systems to consumer-facing AI tools already used by staff.

Christian Mouysset, Co-Founder, Tenzo, set out the company's view of that shift.

"Hospitality has moved past the question of whether to invest in AI. The focus is now on where AI actually changes P&L, versus where it is simply another dashboard with a chatbot bolted on. We are not building a proprietary AI that customers are forced to use. The AI landscape is moving too quickly for anyone to bet on a single model/harness, and operators shouldn't have to. Instead, what we're doing at Tenzo is providing the data infrastructure to make the LLMs restaurant teams already use work for their business. The result is AI insights that operators can trust and act upon," said Mouysset.

According to the company, early users of the connector have already reported benefits from asking direct questions of their restaurant data instead of waiting for custom reports or dashboards.