Synchronising speech, action and human fallback.
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AI voice agents

Voice agents built for real conversations — and real consequences

Custom voice workflows that listen, respond, act and escalate within rules your business can inspect — not a demo voice bolted onto a talking FAQ.

  • Answers, books and escalates within rules you set
  • Under 10 seconds response time
  • Every uncertain call hands to a human, with context
  • UK-built
  • London-based
  • Human-reviewed automation
  • Scoped before build
  • Staged implementation
  • GDPR-conscious by design
Live systems online

Hear the agent before you build it.

Speak naturally with a live voice agent and watch both sides transcribe in real time.

The problem

A voice demo is easy. Surviving production isn't

The hard part was never making a synthetic voice speak. It's building a call system that understands real intent, handles interruptions, takes permitted actions, and knows exactly when to hand over to a person — every time, not just in the demo.

  • Missed calls become missed revenue, every single day
  • A generic bot can't tell an urgent call from a routine one
  • Nobody can see what the AI actually said or promised
The outcome

What a production-grade voice agent changes

Calls answered in seconds, around the clock. Bookings confirmed without a human touching the calendar. Anything sensitive or unclear routed to your team — with the context they need, not a cold transfer.

Faster first response

Routine calls can enter a defined workflow without waiting for an available person.

Structured operational context

Captured details and summaries reach the team in a usable form.

Safer exception handling

Sensitive, unusual or failed calls move to a named human route.

What you receive

What you receive

Conversation design, speech processing, telephony, monitoring and escalation — engineered as one operating system.

Stateful conversation design

Give each call intent, retry, action and escalation a visible state.

Speech pipeline engineering

Balance recognition, reasoning, voice quality, latency and interruption handling.

Permissioned actions

Connect calendars, CRM, SMS and tickets only within approved rules.

Evaluation after the demo

Review transcripts, tool outcomes, latency and handoffs before expanding scope.

Why Silverstone

Built for the call that goes off-script

Real callers interrupt, change their mind, and ask things the script didn't anticipate. We design for that — with confidence thresholds, permitted actions, and a clean human handover before the agent guesses.

Illustrative automated lead follow-up panel.
Proof

Proof, not promises

Verified Silverstone AI performance
<10 secondsreported response time
15 hrs/weekreported staff time saved
+22%reported increase in new-patient bookings

Representative figures observed across Silverstone AI voice deployments.

Results vary by scope, data quality, implementation and operating environment.

Delivery

How delivery works

From call intent to a monitored, production voice line.

01

Define the calls

Select bounded, measurable intents and exclusions.

02

Prototype the conversation

Test normal, interrupted and failed paths.

03

Connect the actions

Add telephony and business systems with fallbacks.

04

Evaluate the evidence

Review transcripts, outcomes and exceptions before expansion.

Live demo

Talk to a live voice agent — right here, right now

This is a fully functional demo, live on this page. Press start, allow the microphone and speak with Grace — our ElevenLabs-powered voice agent — while the panel beside her transcribes both sides of the conversation in real time.

Live demo · Grace — AI voice agentElevenLabs Conversational AI

Live and ready to talk

Uses your microphone. Nothing to install — it runs in this page.

Live transcriptReal-time

Your conversation appears here

Press start and speak naturally — both sides of the call are transcribed live, word by word, while you talk.

Test Grace's governed call flow

Ask a routine question and watch both sides appear in the transcript. Grace stays within an approved reception scenario.

Grace is an AI receptionist. ElevenLabs processes audio and the transcript in real time. Public demo — don't share personal or sensitive information.

Design the call before you choose a voice

Use a discovery call to map the intents, the actions worth automating, and exactly where a human needs to stay in the loop.
Questions

Questions before a live line is connected

Usually, yes — depending on your carrier and telephony setup. We confirm porting, forwarding and routing during technical discovery.

Yes, once calendar access, availability rules and confirmation language are approved — and it confirms details back to the caller before writing the booking.

Not automatically — recording, transcription and retention are configured to your use case and legal requirements.

No — it handles bounded, repeatable call work so your team spends their time on the calls that actually need a person.

No system should claim universal accuracy. We test accents, names and phrasing against your real callers, and the agent hands over the moment confidence drops.

Design the call before choosing the voice

Bring a sample call, a current script, or just the call problem that keeps repeating. We'll map the architecture that would actually hold up in production.

Every missed call this week is a lead your competitor answered instead. The first conversation is exploratory and commits you to nothing.