Unlocking 24/7 Capacity in UK Public Leisure

UK public leisure is navigating a defining paradox. Public participation in physical activity remains at record scale, with ukactive recording over 12 million health and fitness members across the country. Yet, local authority budgets remain under severe pressure, wage and employment costs have risen, and facility maintenance requires careful resource management.

For leisure trust C-suites and council service heads, the central operational challenge isn't a lack of interest, it’s a bottleneck in operational capacity.

When a parent searches for swim school details at 10 PM, a member tries to update a booking before work, or a visitor has a query while reception is managing a line out the door, traditional operating models struggle to keep pace. The solution isn't simply spending more to generate leads; it's building the operational capacity to service existing community demand 24/7 without placing extra administrative strain on frontline teams.

Beyond Chatbots: Task-Driven Execution

Many operators are familiar with traditional website chatbots, but generative AI agents represent a fundamental shift in capabilities. A standard chatbot answers a static question and stops. An AI agent is given a specific goal, approved policy rules, and access to connected systems to complete an entire task.

If a prospective member asks about swim assessments or facility tours, an AI agent can check real-time availability, offer an appropriate slot, book the appointment directly into your management software, confirm details, and alert your staff, all within seconds, regardless of the hour.

Download The AI-Enabled Leisure Operator - No sign-up required:

Relieving Administrative Pressure on Frontline Teams

No customer service professional or receptionist joins the leisure sector to copy data between software tools or answer the same opening-hours question forty times a day. When routine administrative tasks consume staff bandwidth, higher-value human work inevitably suffers.

Deploying AI agents isn't about removing workforce presence; it's about protecting human effort for where empathy, community connection, and professional judgment matter most. By letting agents absorb high-volume, low-judgment enquiries, frontline staff gain the freedom to focus on face-to-face member support, coaching, safeguarding, and complex customer care.

The operational impact is already visible across UK deployments. Operators running Antares' leading AI agents for public leisure report up to a 185% increase in lead-to-tour bookings and major improvements in out-of-hours response consistency.

As Erin Dunn, Digital Marketing Manager at Inverclyde Leisure, notes:

Our AI sales agent doesn't just handle inquiries; it actively books tours and feeds that information straight into our management software. This allows our team to follow up with fully informed context and no manual input.

Governance First: Knowing What AI Should Never Do

In the public sector, trust, accessibility, and safety are non-negotiable. Responsible AI adoption requires explicit operational boundaries. A well-designed agent deployment must have hard safeguards defining what the technology can do, and precisely where a human team member must step in.

For public leisure operators, AI agents should never:

• Make safeguarding or clinical health decisions.

• Handle complex accessibility requests without human escalation paths.

• Override local authority rules, pricing structures, or access policies.

• Operate without full conversation logging, privacy compliance, and named operational oversight.

By embedding strict governance, ICO compliance, and clear escalation triggers from day one, public leisure boards can innovate with complete peace of mind.

A Pragmatic 90-Day Path Forward

Modernising operations does not require multi-year transformation programmes or perfect data infrastructure. The most successful deployments start small with a single, bounded workflow, such as out-of-hours enquiry handling or tour booking, and expand based on measured outcomes.

Our new strategic white paper outlines a phased 90-Day Adoption Roadmap designed specifically for executive teams to map workloads, establish governance, connect minimum viable data, deploy in a controlled scope, and evaluate success safely.

See the Strategy Live at the HFA European Congress

Want to see how this controlled approach translates into real-world operations? See Antares' AI agents live in London at the upcoming HFA European Congress (September 24–26), where Keepme is participating as Presenting Sponsor.

Visit the team at Stand 11 to explore how Antares' leading AI agents for public leisure can deliver more answers, more members, and more time for your staff. You can also catch Keepme Founder and CEO Ian Mullane’s keynote session:

• Keynote: The Invisible Workforce

• When: September 24th at 10:30 AM

• What to Expect: Ian will share practical lessons, real deployment data, and candid insights from scaling AI across global fitness operations.

Ahead of the event, you can book a meeting with the Keepme team in advance to discuss your organization's specific workload bottlenecks, or download the executive guide below to get started today - no sign-up required.