Voice Agents
Custom voice AI for inbound and outbound calling — with real-time transcription, CRM auto-logging, appointment booking, and natural conversation that customers don't flag as automated.
Why Phone Remains Your Most Expensive, Least Scalable Channel
Every inbound call requires a human to answer. Every missed call is a missed lead. Every outbound campaign is limited by how many calls your team can physically make in a day.
Outside office hours, during peak periods, or when all agents are busy — calls go to voicemail. 80% of callers who reach voicemail don't leave a message. They call a competitor.
Appointment scheduling, status updates, simple FAQs — every routine call consumes agent time that could be spent on complex, high-value interactions. No ability to scale without hiring.
Agents summarise calls manually — inconsistently, sometimes hours later, sometimes not at all. CRM data is incomplete. Follow-up falls through the cracks. Pipeline visibility is poor.
A sales team can make 60–80 outbound calls per day. An AI voice agent makes 1,000 simultaneous calls — qualifying, booking, and logging — while your team focuses on the conversations that actually need them.
Appointment bookings, status enquiries, FAQ resolution, and lead qualification — all handled by voice AI. Calls that genuinely need a human are transferred instantly with full context.
What Voice Agents Actually Do
Not an IVR menu. A natural-language AI that converses, retrieves live data, takes actions, and hands off gracefully when needed.
Inbound call connected. Caller ID matched against CRM. Account history loaded in under 500ms.
Returning caller greeted by name with relevant context. New caller welcomed and intent captured.
Natural conversation to understand intent. Live data queried — availability, order status, account details.
Appointment booked, query resolved, or call transferred to correct agent with full transcript.
Full transcript, summary, sentiment score, and outcome auto-logged to CRM. Follow-up task created if needed.
Sub-600ms response latency. Natural pacing and interruption handling. No robotic IVR menus — genuine conversation flow.
Checks real availability, order status, and account details during the call — not canned responses.
Full transcript, summary, and action items logged to CRM within 30 seconds of call end. Zero manual entry.
Handles inbound qualification and appointment booking, and runs outbound campaigns — reminders, follow-ups, re-engagement.
What Teams Deploy Voice Agents For
All use cases live in production. Metrics are 90-day averages from active deployments.
Patient or client calls → voice agent checks live availability across all practitioners → books appointment → sends SMS confirmation → logs to EHR or CRM. 44% more bookings captured after hours.
Inbound sales call handled by voice agent. Discovery questions asked, ICP fit assessed, demo booked directly in Calendly or hot transfer to available SDR. 3× call handling capacity from same team.
Voice agent calls entire contact list simultaneously — chasing quotes, confirming appointments, re-engaging lapsed clients. 1,000 calls per day vs 80 maximum from a human team. CRM updated after every call.
Automated outbound reminder call 48 hours and 2 hours before appointment. Patient confirms or reschedules in natural conversation. Cancellations automatically offer the slot to the waitlist.
Voice Agent Results Across Deployments
Aggregated from 40+ voice agent deployments. Measured 90 days post-launch.
Where Voice Agents Deliver the Most ROI
By use case, 90-day average across active clients.
Average ROI across all client types
Everything Included in Voice Agent Deployment
From voice persona design through to ongoing conversation quality review.
Every workflow, configuration, and script is yours — with full documentation and Loom walkthroughs. Zero lock-in
Our voice agents use natural-sounding voices with realistic pacing and interruption handling. Most callers don't flag the interaction as automated unprompted. We configure the agent to disclose it's AI if asked directly — transparency is always maintained, and in most jurisdictions, disclosure is required.
English natively, with Spanish, French, German, Portuguese, and Dutch at production quality. Additional languages are available with 2–3 week lead time for voice model fine-tuning. Multilingual detection is automatic — the agent switches language mid-call if the caller switches.
Yes. We use Whisper-based transcription models fine-tuned for accent robustness. Poor audio quality is handled with clarification prompts rather than misinterpretation. Call quality below a threshold triggers graceful transfer to a human agent.
The agent operates within strict guardrails — topic scope, permitted actions, and escalation triggers are all configured before launch. Out-of-scope requests trigger graceful handoff. All calls are recorded and reviewed in the first 2 weeks with a quality threshold review.
Yes — warm transfer is supported. The agent says 'Let me connect you with a specialist' and transfers with a whisper summary to the receiving agent before the customer hears them. No cold drop — the human agent has full context before saying hello.
Varies by call duration and integration complexity, but typically £0.04–£0.12 per minute vs £0.85–£1.40 per minute for a human agent fully loaded. At scale, voice agent handling costs 10–25× less per call. Exact cost modelling is included in the discovery engagement.
Let's Build Your
AI Automation Engine
Book a free 45-minute strategy call. We'll map your top automation opportunities, estimate ROI, and show you exactly how we'd build it.
No commitment required · Response within 24 hours · Free audit included