Article February 5, 2026

Case Study: AI Voice Agent Cuts Call Costs from £24K to £4K

How we built an AI voice agent with ElevenLabs and Twilio that replaced a £2,000/month outsourced call center for a UK surveying firm — saving 83% on reception costs.

AI Voice Agent Case Study ElevenLabs Twilio Vapi Business Automation Lead Qualification

I just helped a surveying firm in the UK reduce their call reception costs from £24,000 per year to £4,000 using an AI voice agent.

The problem

The firm was paying Moneypenny £2,000/month for outsourced call handling. Professional, but expensive — and limited to business hours.

The solution: AI voice agent with ElevenLabs + Twilio

At HermesOps, we built a conversational AI voice agent that handles 100% of inbound calls:

  • ElevenLabs for natural-sounding text-to-speech — the voice is indistinguishable from a real receptionist
  • Twilio for telephony infrastructure — call routing, recording, and SMS notifications
  • OpenAI GPT-4 for conversation logic — understanding caller intent, asking the right follow-up questions
  • n8n for workflow automation — routing qualified leads to the right team member via email
  • HubSpot CRM integration — every call is logged with contact details, service requested, and urgency

What the agent does

  1. Answers every call like a live person — 24/7, no hold times
  2. Determines what service the client needs (boundary survey, topographic, measured building)
  3. Collects project details, location, and deadlines
  4. Validates contact details
  5. Sends a structured ticket to the team via email

The email looks like this:

“John Smith needs a boundary survey for a property sale in Reading. Deadline: 3 weeks. Phone: 077XX”

A qualified lead ready to work.

The numbers

MetricBefore (Moneypenny)After (AI Agent)
Monthly cost£2,000£60
Annual cost£24,000£4,000
AvailabilityBusiness hours24/7/365
Cost per call~£10£0.30
Lead captureDuring hours onlyEvenings, weekends, holidays

The tech stack

  • Voice AI: ElevenLabs (TTS), Deepgram (STT)
  • Telephony: Twilio
  • LLM: OpenAI GPT-4 for conversation
  • Automation: n8n for workflows
  • CRM: HubSpot integration
  • Hosting: Docker on a VPS

Where AI voice agents apply

This same architecture works for any business that handles inbound calls:

  • Law firms — screening consultations, conflict checks, intake forms
  • Real estate agencies — qualifying buyers, booking viewings
  • Recruiting firms — filtering candidates, scheduling interviews
  • Medical practices — patient triage, appointment booking
  • Trades & services — plumbers, electricians, HVAC — capturing leads after hours

ROI is instantaneous. The agent paid for itself in the first week.

After phased testing, this agent went live handling 100% of inbound calls — capturing two qualified leads on the first day.