AI Calling Agents
Answer routine calls, collect enquiry details and pass requests to the right person.
AI Automation
Connect customer requests to useful actions with AI assistants and workflows built around your business.
A customer gets in touch.
Using your information and agreed rules.
Calendar updated. Confirmation sent.
Illustrative workflow. Your team handles exceptions.
What we can build
Choose the task that needs attention. We’ll shape the assistant and connections around it.
Answer routine calls, collect enquiry details and pass requests to the right person.
Connect availability, appointments, confirmations and reminders in one organised flow.
Capture order details through voice or chat and pass them into your agreed order process.
Support enquiries across your chosen messaging channels using shared business information.
Help customers and staff find answers in approved service details, policies and FAQs.
Connect forms, inboxes, calendars and business tools to reduce repetitive handovers.
Automation in everyday work
Open an example to see how the work moves forward, and where your team steps in.
Someone asks about your service. The assistant finds the relevant information and helps them move forward.
Identify what the customer needs and ask for any missing details.
Answer from your service details, policies or knowledge base.
Save the enquiry and the agreed follow-up in your business system.
A customer requests an appointment. The assistant uses your booking rules and connected calendar to arrange it.
Collect the service and preferred date, then check available slots.
Ask the customer to confirm before creating the booking.
Update the record and share confirmation through your agreed channel.
A customer places an order. The assistant checks the details and sends a confirmed request into your order process.
Gather items, quantities and the customer’s fulfilment preference.
Check approved product information and read back the order for confirmation.
Send the structured request into the agreed order system or team queue.
Illustrative examples. Tools, channels and actions are agreed before build.
Built around your business
We define what the assistant should handle and where your team needs to take over, so the workflow has a clear scope from the start.
A request falls outside your standard policy. The assistant captures the details and passes it to your team for a decision.
Define the services, policies and answers the assistant can use, and how that information stays up to date.
Choose which tasks it can complete, which tools it can access and when it must ask for confirmation.
Set the situations that need a person, with the relevant context passed to your team.
Review realistic requests and exceptions together before the workflow goes live.
Before we begin
Have a question about your setup? Tell us how things work today.
We first review the tools you use and the connections they support. Where a suitable integration is available, we can plan it into the workflow. Any limitations or required changes are discussed before build.
We agree when it should stop, ask for clarification or hand the request to a person. The handoff can include the information already collected, so your team has the context to continue.
A short description of the task, examples of typical requests and a list of the tools involved are a useful starting point. We then identify the business information and access the agreed workflow will need.
Yes. We can scope an initial workflow around one clear task, review how it performs and decide what to improve or connect next.
We agree useful measures before launch, such as response time, completed bookings, handoff quality or time spent on the task. The measures depend on your workflow and the information available.
Tell us where work gets repetitive or requests get stuck. We’ll help you work out a practical first step.