AI voice agents for real conversations and real consequences

Usually, yes, for US and UK numbers alike. Porting, forwarding and routing depend on your carrier, and we confirm them during technical discovery before anything is promised.

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.

Yes. The agent answers around the clock on either side of the Atlantic, and escalation windows follow your team's time zone. Silverstone AI has US-based team members, so a US deployment is monitored during US business hours, not from a London desk at night.

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.

Voice agents sit inside the published implementation bands. A focused pilot on one call type starts from £3,000 / $3,900, and most full deployments land between £10,000 / $12,500 and £25,000 / $32,500, plus a support retainer from £350 / $450 per month. Telephony, speech and usage costs are itemized separately before work begins, because they scale with call minutes rather than with the build. US and UK clients pay the same published bands.

They overlap, and the difference is scope. An AI receptionist is a front-desk layer across calls, chat and web intake: it answers approved questions, books what it is permitted to book, and routes the rest to a person. An AI voice agent is the call itself, engineered for a defined set of intents, outbound as well as inbound, with deeper actions in your systems and tighter latency and interruption handling. Many clients run a voice agent as the phone channel inside a wider reception layer.

Delivery runs in four stages: define the calls, prototype the conversation, connect the actions, then evaluate transcripts before scope widens. Across Silverstone AI projects the published average from discovery to deployment is 12 weeks. A single-intent pilot with one calendar and one CRM sits at the short end of that; a multi-intent line with number porting and several downstream systems sits at the long end. The schedule is confirmed at scoping, not before.

Yes, and outbound changes the design brief. In the United States, outbound AI calling raises TCPA questions, so the workflow is built consent-first: a record must carry a consent basis, channel scope, capture timestamp and suppression status before the number can enter a campaign. In the UK the same workflow is reviewed against UK GDPR, the ICO and Ofcom rules rather than reused as-is. We design the controls; qualified legal review before launch stays with your counsel.

It fails visibly, not silently. Every permitted action — booking, lookup, ticket creation — has a defined fallback. If the calendar or CRM does not respond, the agent tells the caller plainly, captures the details, and routes the call or a written summary to a named human owner instead of inventing a confirmation. Those failure paths are built and tested during the prototype stage, alongside the ones that go to plan, before the line goes live.

Plan to. Explicit disclosure is designed in by default: the agent identifies itself as an automated assistant at the start of the call and never claims to be a person when asked. Rules differ by jurisdiction, including between US states, and they keep moving, so the exact wording is agreed with you and reviewed by your counsel where the use case warrants it. Disclosure also sets expectations early, so a handover to a person reads as routine rather than as a failure.

You measure call outcomes, not how natural the voice sounds. Before launch we agree what a resolved call means for each intent, then report against it: resolution by intent, action successes and failures, escalation rate and reason, response latency, and the transcripts behind every uncertain call. Reviews are scheduled rather than reactive, scope widens only once the evidence supports it, and you keep access to the same records we work from.

Yes. Transfer is a designed state, not an emergency exit. When confidence drops, a caller asks for a person, or the request falls outside permitted actions, the agent hands over on the rules you set: live transfer during staffed hours, a callback or a queue outside them. It passes what it has already captured so the caller does not repeat themselves, and it is truthful about wait times rather than optimistic.