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Work

See the possibilities.

Explore how reception, voice and automation systems could work for your business. Every example is illustrative.

Illustrative examplesThese examples show how we approach a brief. Client case studies will be published with permission and measured results.Every example below is illustrative
01AI Reception & Lead HandlingIllustrative

Enquiry to booked viewing on WhatsApp

A lettings team running paid campaigns that generate a high volume of WhatsApp enquiries, answered between viewings by negotiators.

Scope

  • WhatsApp agent on the official Business Platform, fluent in the current listings.
  • Qualifying questions: rent or buy, budget, timeline, requirements.
  • Viewing booking into negotiator calendars with confirmation and reminders.
  • CRM update with a structured record and intent score, negotiator alerted for hot leads.
  • Handoff to a person on request, for complaints, or on low confidence.

How it would be measured

  • First response time, measured from customer message to first reply.
  • Enquiries qualified, defined as a completed set of qualifying answers.
  • Viewings booked per week, before and after, over a matched period.
  • Handoff rate and reasons, reviewed weekly.
CustomerHi, is the 2-bed flat on Mill Lane still available? Could I see it this week?
AgentIt is. Viewings are Tuesday 5pm, Wednesday 12pm or Saturday 10am. Before I book, are you renting or buying, and when would you want to move?
CustomerRenting, ideally by the end of next month.
AgentThanks. Wednesday 12pm is free. Shall I book it under this number and send the address and what to bring?
CustomerYes please.
SystemViewing created in calendar. Contact updated in CRM with intent: rent, timeline: 4–6 weeks. Negotiator notified.

Sample conversation written to show the intended flow. Not a transcript from a live deployment.

02Voice AgentsIllustrative

Phone reception for a multi-site clinic

A group of clinics whose reception lines ring busy at peak times, with bookings, reschedules and opening-hours questions making up most calls.

Scope

  • Voice agent answering the main number with an automated-assistant introduction.
  • Booking and rescheduling in the practice management system, with patient verification.
  • Answers to the most common questions, maintained by the practice manager.
  • Transfer to reception with a spoken summary for anything outside scope.
  • Out-of-hours handling with structured messages and next-day callbacks.

How it would be measured

  • Calls answered within three rings, as a share of all calls.
  • Calls resolved without a transfer, with the definition agreed in advance.
  • Missed and abandoned calls at peak hours, before and after.
  • Caller feedback from a short optional survey.
Rescheduling by phoneDental practice, main number. Written example, not audio.
Illustrative
AgentThanks for calling Riverside Dental. I’m the practice’s automated assistant. How can I help?
CallerI need to move my appointment on Thursday, something’s come up.
AgentNo problem. Can I take your date of birth to find the booking?
CallerFourth of March, eighty-eight.
AgentFound it, Thursday 2:15 with Dr Patel. I can offer Friday 10:00 or Monday 3:30. Which would you like?
CallerFriday at ten, please.
AgentDone. Friday at 10:00 with Dr Patel. You’ll get a text confirmation in a moment. Anything else?
CallerNo, that’s all. Thanks.
SystemAppointment moved in practice system. Confirmation SMS sent. Call summary logged.
Complete
Sample call written to show scope and handoff behaviour, paced roughly as it would be spoken. Names are fictional. A recorded sample will be published only when a permission-cleared one exists.
03Workflow Automation & IntegrationsIllustrative

Supplier invoices with human approval

A finance team receiving supplier invoices by email, matching them to purchase orders by hand and chasing approvals in chat.

Scope

  • Inbox monitoring and document extraction with confidence scores.
  • Automatic matching to purchase orders in the accounting system.
  • Exceptions routed to an approver in Slack with a one-click decision.
  • Posting to the accounting system and notification to the requester.
  • Audit log of every action and decision.

How it would be measured

  • Share of invoices processed without manual touch.
  • Time from receipt to posting.
  • Extraction accuracy against a reviewed sample each month.
  • Exceptions per week and their causes.
Invoice email receivedTrigger
Extract supplier, amount, PO numberLanguage model step
Match to purchase orderSystem action
Confidence below threshold or amount mismatch?Check
Finance approves in Slack with one clickPerson decides
Post to accounting system, notify requesterSystem action
AI step with confidence threshold Human decision Exception check

Illustrative workflow. Thresholds, tools and approval steps are agreed per project.

Next step

Have something similar in mind?

Tell us the situation and which of these it resembles. We will come back with the questions we would need answered to scope it.

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