AI voice and customer response
Voice and chat interfaces that handle routine inbound contact in natural language, answer common questions from your own information, and hand off to a person the moment a conversation needs judgement.
WHAT WE BUILD
The building blocks we work with
Most engagements combine several of these. Which ones, and how far each goes, comes out of discovery rather than being decided up front.
Lead qualification
Capture enquiries from every channel, ask the qualifying questions your team would ask, and write a structured, consistent record into your CRM instead of a free-text note.
Scheduling
Check real availability, book, reschedule and cancel against your existing calendar or practice management system, then run the confirmation and reminder sequence around it.
Document processing
Read the documents your process already depends on — forms, statements, invoices, applications — extract the fields that matter, and flag what needs a human to check.
Workflow automation
Connect the steps that currently rely on someone remembering: handoffs, approvals, status changes, follow-up queues and notifications across separate systems.
Reporting
Bring operational data into one current view, so pipeline, volumes and service levels are visible without anyone assembling a spreadsheet.
HOW WE WORK
Four stages, and a decision point after each
Each stage produces something you can judge. If a prototype doesn't earn its place, that is a useful result and a cheap one.
1
Discovery
We map how the work happens now before proposing anything.
- Sit with the team doing the work
- Identify where time is actually lost
- Confirm which systems hold the data
- Agree what success would look like
2
Focused prototype
We build the narrowest useful slice first, so you can judge it for real.
- One workflow, end to end
- Built against your real data where possible
- Reviewed by the people who will use it
- Kept or discarded on evidence
3
Integration and testing
We connect it to the systems you already run, and try to break it.
- Integrate with CRM, scheduling or telephony
- Define failure and escalation behaviour
- Test edge cases and load
- Confirm access control and audit needs
4
Launch and improvement
We roll out narrowly, measure, then widen.
- Start with a limited group or location
- Compare against the agreed baseline
- Tune behaviour on real usage
- Extend scope once it holds up
WORKED EXAMPLES
Three problems, and how we would solve them
Each example below is labelled with what actually exists today. We don't present designs as deployed systems.
Proposed use case A design we can build. Not built yet, and not running anywhere today.Working prototype Built and demonstrable, not yet deployed in production.Existing product Built, deployed and in day-to-day use.
AUTOMOTIVE
Proposed use caseDealership lead follow-up
The business problem
A dealership receives enquiries from its website, marketplace listings, phone and chat, at all hours. Whoever is free picks them up, so qualification depends on who answered and how busy the floor was. Leads that arrive in the evening or during a busy Saturday are often answered late, by which point the buyer has contacted three other dealers.
The workflow we would build
- An enquiry arrives from any channel and is acknowledged straight away, in conversation, rather than sitting in an inbox.
- The assistant asks the qualifying questions a salesperson would ask: which vehicle, timeframe, part exchange, finance or cash.
- A structured lead is written to the CRM with those answers as fields, not as a free-text note.
- If the buyer is ready, it offers appointment slots from live showroom availability and books one; if not, it sets a follow-up.
- Anything unusual, or any buyer who asks for a person, is routed to a salesperson with the conversation attached.
Expected benefit
Every enquiry gets a fast, consistent first response and arrives at the sales team already qualified, so fewer leads go cold purely because nobody was free.
What this depends on: The gain depends on current response times and CRM discipline. We would measure against your existing baseline during a pilot rather than assume a figure.
DENTAL AND HEALTHCARE
Proposed use caseDental front desk operations
The business problem
A practice front desk is answering the phone, checking patients in, chasing confirmations and handling insurance questions at the same time. Calls are missed during clinical hours, and missed calls are usually unbooked appointments. Reminders go out when somebody has a spare moment, so short-notice cancellations and no-shows stay high.
The workflow we would build
- Inbound calls and messages are answered immediately for routine intents: opening hours, location, what to bring, booking, rescheduling and cancelling.
- Availability is checked against the practice management system, and the appointment is booked or moved there directly.
- The confirmation and reminder sequence runs automatically, with replies handled in the same conversation.
- Anything clinical, any concern about symptoms, and any complaint is escalated to a staff member with full context.
- The team gets a daily summary of what was handled, what was booked, and what needs a human follow-up.
Expected benefit
Fewer missed calls and lost bookings, more consistent confirmations, and front desk attention returned to the patients physically in the practice.
What this depends on: This requires integration with your practice management software and clear rules about what must always reach clinical staff. Clinical judgement stays with the practice.
RESTAURANT AND HOSPITALITY
Proposed use caseRestaurant ordering and enquiries
The business problem
During peak service the phone competes directly with the guests in the room. Takeaway orders are missed or taken wrong under pressure, and the same questions about opening hours, allergens and parking are answered dozens of times a night. For a group, the answers differ by location depending on who picked up.
The workflow we would build
- Calls and messages are handled conversationally, with the menu, modifiers and allergen information read from a single source your team controls.
- The order is built, read back for confirmation, and given a realistic collection or delivery time based on current kitchen load.
- The confirmed order is sent to the POS or kitchen display in the same format as any other order.
- Payment is taken by link, or marked as pay-on-collection, according to your existing policy.
- Large, custom or complicated orders and any complaint go to a staff member rather than being handled automatically.
Expected benefit
Fewer missed orders at exactly the times you cannot afford to miss them, consistent information across every location, and staff attention kept on the guests in the venue.
What this depends on: Accuracy depends on POS integration and on menu and allergen data being correct and current. Allergen information in particular needs a verified source and human ownership.
START WITH THE WORKFLOW, NOT THE TECHNOLOGY
Tell us what takes your team the most time.
The most useful first conversation is usually about a specific, repetitive piece of work — not about AI. Describe the workflow and we'll tell you honestly whether it's a good candidate, what it would involve, and where the difficulties are.
Tell Us About Your Workflow →TELL US ABOUT YOUR WORKFLOW
Start the conversation
Share the process you have in mind, the systems involved, or just the problem. We'll follow up to discuss scope and next steps.
Tell us about your project
Complete the form and we'll respond to your inquiry.