Amernet AI Agents are intelligent digital workers that automate conversations, handle customer interactions, and execute workflows across voice and chat. Built for modern businesses, our agents integrate with your systems to support sales, customer service, and operations — 24/7.
Deploy powerful AI agents faster and scale your automation without complex development.
One conversation engine, as many jobs as you have briefs for, and a transcript against every call.
An Amernet AI agent answers a phone call or a chat, works out what the person needs, and then finishes the job rather than just the sentence. It listens, replies in its own voice, reads from your documentation, checks a live calendar, books the appointment, and hands the call to a colleague when a human is genuinely the right answer.
Every agent runs on the same conversation engine: speech recognition, a language model working from the brief you write, and a voice that answers in a few hundred milliseconds. What makes one agent different from the next is that brief and the tools you switch on. A receptionist that routes calls, a sales agent that qualifies and books, a support agent that answers from a product manual — one platform, configured three ways. You can watch any of them work in the conversation log, where the transcript sits next to the recording.
The point of all this is not novelty. It is the calls nobody is currently answering: the enquiry that arrives at half past six, the third caller waiting while two are already on the line, the follow-up that never got made because the day ran out. Those calls have a cost you can measure, and an agent that handles them competently pays for itself long before it impresses anyone.
AI agents are only as useful as what they know and what they are allowed to do.
The number your customers already dial, answered on the first ring at any hour.
AI agents here are not a widget bolted to a web page. They answer the number your customers already call. Bring a number you own or buy one through numbers and SIP trunks, and the agent picks up on the first ring at three in the morning without a rota.
If you already run a phone system, a SIP extension puts an agent behind an extension on it, over the same SIP signalling your handsets use. Nothing has to be replaced for an agent to start taking overflow.
Outbound works the same way. A batch call campaign dials a list at a pace you set, and each conversation is a real one rather than a recording — the agent handles the objection, answers the question, and books the follow-up.
When a call does need a person, the agent warms the handover instead of dumping it. It dials your rep, says who is waiting and why, waits for them to agree, and only then connects the two. The customer never hears hold music while somebody is found.
The things teams ask before putting an agent on a live number.
Yes. An agent answers a number you own or one you buy through numbers and SIP trunks, picks up on the first ring at any hour, and holds a two-way conversation rather than reading a recorded menu.
They do. A SIP extension puts an agent behind an extension on your existing PBX, so it can take overflow or after-hours calls without anything being replaced.
Around a second, end to end. Every turn is timed and reported in analytics: under a second and a half feels like a conversation, and past three seconds starts to feel like a bad line.
It can read live calendar availability, offer real slots, write the booking while the caller is still on the line, and send the confirmation afterwards — no call-back required.
Mark a knowledge base confidential and its contents stay out of the agent’s reach until the caller proves who they are, either by matching caller ID or by a one-time code sent to the number or email on file.
It hands over warmly. The agent dials your rep, explains who is waiting and why, waits for them to accept, and only then connects the two — so nobody picks up a conversation cold.
Nothing about running AI agents should be a matter of faith.
Every turn of every call is timed, so a slow agent is a number rather than a hunch. Analytics reports the median and the worst case: under a second and a half feels like a conversation, past three seconds feels like a bad line, and you can see which model caused which.
Transcripts and recordings are kept against every call, scored for whether the agent did what it was asked, and searchable afterwards. Most teams put their AI agents on one number and one job, listen to the first fifty calls, then widen the brief from there.
