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Greg Lomax
CEO & Co-Founder
October 28, 2026
Artificial intelligence (AI) is becoming an increasingly important part of the restaurant industry. From managing staff rotas and stock levels to helping with marketing and administration, it offers opportunities to save time, control costs and make better operational decisions.
But adopting AI is not simply a case of choosing a tool and switching it on. Your existing IT systems, the quality of your data and the way your technology connects all play a part in determining whether AI delivers genuine business benefits.
Hospitality Technology's 2026 AI Impact Study: Restaurant Edition highlights how restaurant operators are approaching AI, where they are seeing results and the challenges they still face.
For restaurant owners and managers, the findings raise an important question: is your IT infrastructure ready to support the next stage of AI adoption?
Many businesses have already experimented with generative AI for writing marketing content, producing promotional materials and drafting emails. Restaurants are no exception. The study found that 60% of surveyed operators use generative AI for marketing content and copywriting, while 47% use it for meeting summaries and email drafting. However, attention is increasingly shifting towards AI that can do more than generate text or answer questions.
Known as agentic AI, this technology can carry out tasks and coordinate activities across different software systems, subject to the permissions and controls in place.
For restaurants, potential applications include:
The study found that 32% of respondents were actively deploying agentic AI, compared with 13% a year earlier. That represents a significant increase in adoption. However, only 6% said AI was fully embedded in their core systems, workflows and wider operating strategy.
The message is clear. Restaurants are exploring what AI can do, but there is still considerable work to do before it becomes part of everyday operations across the business.
One of the most important findings in the report concerns the relationship between AI and the technology a restaurant already uses. AI can only make useful recommendations when it has access to relevant, accurate information. If your point-of-sale (POS) system, stock management software, staff scheduling platform and reporting tools operate independently, getting a complete picture of your business becomes much harder.
The study found that 59% of respondents had AI solutions interacting with their POS or food and beverage systems. Workforce management and labour scheduling systems were the next most common connection, at 44%. These connections matter because they allow information from different parts of the operation to inform decisions. For example, a restaurant group may want to understand why food costs are rising at one location but not at others. To investigate properly, it may need to bring together sales figures, stock movements, supplier prices and waste records. If that information is spread across disconnected systems, managers may have to spend considerable time collecting and reconciling it before they can act. AI may help analyse the information, but it cannot automatically overcome missing data, incompatible software or poor system integration.
Before investing in new AI tools, it is worth reviewing whether your existing technology works together as effectively as it should.
Restaurant operators work in a demanding environment. Labour costs, food prices and customer demand can all affect profitability, while service levels must remain high. The study identified faster operational decision-making as the most commonly reported measurable benefit of AI, with 44% of respondents reporting improvements. A further 41% reported increased employee productivity, while 32% saw improvements in inventory and demand forecasting accuracy. These benefits are particularly relevant to restaurant groups managing several locations.
Consider the challenge of deciding how much stock each restaurant needs for the coming week. Accurate forecasting can help reduce unnecessary purchasing, avoid shortages and limit waste. Similarly, better access to operational information can help managers identify differences in performance between sites and investigate the reasons behind them. AI should support good management rather than replace it. Recommendations still need to be assessed against the circumstances of each restaurant, including local demand, supplier availability and the experience of the people running the operation.
The best results are likely to come when technology gives managers better information and more time to concentrate on running their businesses.
Having access to large amounts of information does not necessarily mean you have data that is ready to use. The report found that 38% of respondents were struggling with fragmented data across legacy POS platforms, disconnected site records or inconsistent data formats. This can become a significant obstacle when a restaurant group wants to introduce AI across multiple locations. For example, if different restaurants use different systems or record information in different ways, comparing their performance may be difficult. An AI tool could produce incomplete or misleading results if the underlying information is inconsistent.
Before introducing AI, consider the following questions:
Addressing these issues may not be as exciting as introducing a new AI tool, but it can make a substantial difference to the results you achieve.
A review of your existing systems can help identify the improvements needed before you commit to further investment. This is, of course, something we can help with. Get in touch if you would like us to review your existing systems.
AI also introduces questions around data security and how employees use technology. The study found that 29% of restaurant companies allowed employees to use public AI tools informally, without clear tracking or policies. It also reported that 16% had no concrete AI risk mitigation measures in place. This matters because restaurants hold commercially sensitive information, including recipes, supplier terms, wage data, financial results and information about their guests. Employees may inadvertently share confidential information when using an AI tool to summarise a document, analyse figures or draft a report. Your business needs to understand what happens to the information entered into each tool, how it is stored, who can access it and whether it may be used to train AI models. These arrangements vary between providers and products, so they should be checked rather than assumed.
There are several practical steps you can take:
Explain which AI tools they can use, what information they must not enter and when a manager's approval is required.
Review the terms, privacy controls and security features of any AI service before using it for business information.
Employees and AI applications should only have access to the information they need for their roles and approved tasks.
AI-generated recommendations and customer-facing content should be checked where accuracy, customer service or financial consequences matter.
AI should form part of your overall security approach, alongside access controls, backups, network protection and staff training.
These measures help you explore the benefits of AI without creating unnecessary risks for your business.
AI suppliers may promote time savings and greater efficiency, but restaurant operators need to look beyond the initial subscription price. The report found that 62% of respondents considered total cost of ownership the most important factor when evaluating AI suppliers. The full cost can include software licences, integration with existing systems, infrastructure upgrades, staff training, ongoing support and the time required to manage the change. There may also be costs associated with improving data quality or replacing systems that cannot support the required integration.
Before proceeding, identify the business problem you want to solve and establish how you will measure success. For example, if your aim is to reduce the time managers spend preparing reports, measure the current time involved and compare it with the results after implementation. If you want to improve stock control, monitor waste, stock availability and purchasing costs.
Start with a clearly defined use case, understand the costs and test the results before rolling out the solution across the business. This approach gives you a better basis for deciding whether further investment is justified.
AI has the potential to improve the customer experience, from helping manage reservations and enquiries to supporting more efficient service. However, introducing technology should not come at the expense of personal service. The study found that restaurant operators remained cautious about customer-facing AI. More than half reported strict human review before AI-generated content or decisions reached customers.
For restaurants, this is an important consideration. AI may help staff respond to routine enquiries or process information more quickly, but it needs appropriate oversight when dealing with complaints, unusual requests or situations requiring judgement. Technology should remove unnecessary friction for your team and guests, not create another obstacle between them.
A well-planned approach allows you to explore automation while retaining the human interaction that makes hospitality special.
AI is likely to become an increasingly important part of restaurant operations, but successful adoption depends on more than the software itself. Your network, systems, integrations, security and data all need to work together. If they do not, introducing AI may simply add another layer of complexity to an already complicated IT environment.
At Clarity IT Services, we understand the technology challenges faced by restaurants and hospitality businesses. From POS systems and network connectivity to system integration and cyber security, we help ensure your IT supports the way your business operates.
If you are considering AI, the sensible first step is to understand your existing IT environment, identify any gaps and establish which improvements would deliver the greatest business value.
You do not need to automate everything at once. Start with a practical objective, make sure your systems are ready and build from there.
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