Voice Desk
An AI telephone assistant that can answer approved questions, capture an enquiry and bring your team in when needed.
See the call examples ↗Systems & automation for food & drink
Pick up the enquiry. Keep the details together. Give your team a clear next step.
Voice Desk, practical automation and AI opportunity audits, designed around how your business actually works.
The phone rings while the team is serving.
Ready for a person to review
Occasion, preferred time and callback details gathered. Availability still to confirm.
Awaiting team confirmationA sample workflow, not a live call or customer record.
Three ways we can help
An AI telephone assistant that can answer approved questions, capture an enquiry and bring your team in when needed.
See the call examples ↗Connect forms, inboxes, booking tools and shared records so routine work has a clear route through the business.
See the workflow examples ↗A guided review of what happens now, what deserves attention and which changes would be worth testing.
See what you receive ↗01 / Voice Desk
For calls during service, after hours or when the team cannot pick up. The scope and handover are agreed with you.
Voice Desk can handle routine questions from approved business information, gather the details of a request and transfer or arrange a callback. Booking confirmation is only possible where an agreed booking integration supports it.
Choose a call example
Illustrative text conversations. No microphone, recording or live telephone connection is used.
Sample conversation
“Could we bring eight people for dinner next Friday?”
“I can take the details for the restaurant team to check. What time would you prefer, and what is the occasion? The team will confirm whether they can accommodate you.”
What happens next
No reservation confirmed. Availability comes from the venue’s booking system or team.
Sample conversation
“What time do you close on Sunday?”
“Our current Sunday hours are 9am to 3pm. Would you like me to ask the team about anything else before your visit?”
What happens next
Fictional opening hours for this example. A live service needs maintained business information.
Sample conversation
“One of our group has a severe allergy. Can they eat the Sunday roast?”
“I cannot confirm whether a dish is suitable. I can ask a member of the team to speak with you about ingredients and preparation before you make plans.”
What happens next
The assistant does not guess about allergens or promise that a meal is suitable.
We agree the greeting, approved information, hours of operation, escalation rules and where enquiries should go.
Uncertain answers, special requests and sensitive questions go to the team. Transfer and callback arrangements are tested before launch.
02 / Automation & integrations
Give a repeated job a clear path from the first request to the person who needs to act. We check what your existing software can already do, then build the connections that are useful.
Choose a workflow example
Illustrative workflows. These examples do not connect to your software or send any data.
A birthday cake request arrives with a collection preference, portion size and flavour idea.
Put the agreed details into one shared enquiry record.
Flag a missing date or unclear design request for the team.
Draft a message asking for the missing detail, ready for review.
A person agrees the design, feasibility, quote and collection arrangements.
The useful outcome
No cake ordered and no price promised.
Where AI fits
AI can help summarise a free-text request. Moving known fields between a form and an enquiry record usually needs ordinary automation.
A customer asks to change a table from four people to six.
Match the request to the authoritative booking record.
Look up capacity through a supported integration, or ask the team to check.
Show the requested change and anything still needing confirmation.
After approval, update the booking and notify the people delivering the service.
The useful outcome
The original booking stays in force until the change is confirmed.
Where AI fits
A booking connection and clear rules do most of the work. AI may help interpret a message, but it does not invent availability.
The team keeps answering similar questions about group meals and private events.
Organise current menus, opening hours, group arrangements and policies.
Retrieve the approved details for the enquiry.
Create a reply with the source information available to the team.
Ask a person to check exceptions, availability, prices and anything uncertain.
The useful outcome
No message sent automatically in this example.
Where AI fits
AI can be useful for varied wording and draft replies when the source information is reliable. A short template may be enough for a frequent, fixed question.
The exact connections depend on your software, available integrations and access permissions. We confirm those before quoting a build.
03 / AI opportunity audit
Bring us the work that feels harder than it should. We talk it through with the people doing it, review examples and test the assumptions before recommending a system.
Audit scope and fees are agreed before paid work begins. The free check is a preliminary demonstration; your recommendations are emailed to you.
Illustrative audit recommendation / bakery
Fictional example of the kind of recommendation an audit can produce, not a finding about your business.
Build it. Connect it. Keep it useful.
We can take care of setup, testing, documentation and training, then provide ongoing support where you need it.
Talk through a system ↗Choose the task, the useful outcome and the person responsible.
Try normal requests, unclear inputs and connection failures before going live.
Give your team instructions, training and a reliable fallback. Human approval where consequences matter.
Review failures, keep approved information current and agree improvements as the business changes.
Before we start
Often the starting point is something you already use. We check its features and supported connections before suggesting a replacement.
That depends on the agreed scope and your booking or ordering system. Without a tested connection that can confirm availability and acceptance, it captures a request for the team to confirm.
No. A shared record, a better form or ordinary automation may solve the problem. AI is useful when a defined task benefits from interpreting varied information or drafting a response.
VSL can design, configure and test the system, train your team and provide ongoing support. Responsibilities and support arrangements are agreed in the project scope.
We scope and quote the work around your requirements, software and call or task volumes. Any third-party subscriptions and ongoing support are made clear before you commit.
Start with one thing
A ringing phone during service. A booking change nobody saw. The same details typed into three places. Tell us where your team loses time.
No technical brief needed. We can help you work out the starting point.