AI engineering
Voice AI agents that answer the phone and actually finish the job.
A voice AI agent is a phone agent that speaks to your callers in real time, understands what they want, and completes the task rather than taking a message. AISphereX builds voice AI agents that answer inbound calls, place outbound calls, qualify the caller, answer questions from your real policies, book into your calendar, and write the outcome back to your CRM. We scope it, build it, connect it to your phone system, and keep it running.
Most phone automation still means a menu tree and a queue. A voice agent is different: the caller talks normally, the agent understands, and the call ends with something done. That only works if the agent is wired into the systems that hold the answers, which is the part that takes real engineering rather than a prompt.
What you get
The scope, in plain terms.
- Inbound call handling
- The agent picks up on the first ring, at any hour, in the languages you need. It answers from your actual pricing, policies and availability rather than a generic script, and hands off to a person the moment the call needs one.
- Outbound calling
- Follow-ups, reminders, renewals, lead qualification and no-show recovery, placed on a schedule and stopped the moment someone opts out.
- Qualification that survives contact with your CRM
- The agent asks your qualifying questions, records structured answers, and writes them to the right fields on the right record. No transcript dumped in a notes box for someone to re-key.
- Calendar booking inside the call
- It checks real availability, offers real slots, books, and sends the confirmation before the caller hangs up.
- Escalation and handover
- Clear rules for when the agent stops trying and transfers, with the context carried across so the caller does not repeat themselves.
- Transcripts, recordings and a review loop
- Every call logged and searchable, with a way for you to flag bad calls so the agent gets corrected instead of quietly repeating the mistake.
How it runs
From first call to something live.
- 01
Map the call
We listen to how these calls actually go today and write down what a finished call looks like. If nobody can define done, the agent cannot either.
- 02
Build against your systems
Calendar, CRM, phone system and whatever holds your pricing and policy. The integrations are the work; the conversation is the easy part.
- 03
Test on real cases
We run it against the awkward calls, not the happy path. Accents, interruptions, people who change their mind halfway, callers who want a human.
- 04
Deploy on a slice
Live on one number, one queue or one campaign first, with a human watching, before it touches your main line.
- 05
Run and correct
We stay on it. Call review, prompt and logic corrections, and changes when your pricing or process changes.
What it is built on
Chosen per project, not per fashion.
- Telephony
- Your existing numbers and SIP trunk where possible, or a new number provisioned on a mainstream voice platform.
- Speech in and out
- Recognition and voice chosen per language, accent and latency budget. A voice that sounds right but responds a second late will lose the caller.
- Reasoning
- A current frontier model, constrained by your rules and grounded in your documents rather than left to improvise.
- Systems of record
- CRM, calendar, helpdesk, billing and internal databases through their APIs.
Is this you
We would rather disqualify early than waste your quarter.
This is a good fit when
- You are missing calls, or paying people to answer calls that follow a script.
- Someone is doing manual outbound follow-up that is repetitive but has to happen.
- Your phone volume spikes at hours you cannot staff.
- You already know what a good call looks like and can point at examples.
It is the wrong call when
- The call is the relationship and a human voice is the product you sell.
- Nobody internally can define what a successful call is. Fix that first, or we will do it with you before building anything.
- You want a demo to show investors rather than something that goes on a real number.
Proof
We did not learn this on client projects.
ViveLead is our own CRM and HRMS platform. We designed it, built it, shipped it on web, Android and iOS, and we run it in production for paying customers. Everything we do for clients is done by the team that has to answer for that.
See the case study →Questions we get asked before signing.
An IVR gives the caller a menu and routes them. A chatbot answers in text. A voice AI agent holds an open conversation on the phone, understands what the caller means rather than which button they pressed, and completes the task by acting in your systems. The caller does not learn a menu and does not wait in a queue to get something simple done.
It will sound like a competent phone agent, and it will say it is an AI assistant if asked, which in several markets it is legally required to do. The thing that breaks the illusion is not the voice, it is latency and interruption handling, so that is where we spend the tuning effort.
It transfers to a person, with the context attached. We define those escalation rules with you up front, and we treat a clean handover as a successful call rather than a failure.
Yes, that is the normal case. We keep your numbers where we can and connect the agent to the CRM, calendar and helpdesk you already use. If a system has no API we will tell you before we quote, not after.
A single well-defined call flow connected to one or two systems is usually a few weeks to get live on a limited slice of traffic. Multi-language, multi-flow or messy legacy integrations take longer. We give you a real scope after the mapping session rather than a number before it.
Two parts: the build, and the per-minute running cost of telephony, speech and model usage. We show you the per-minute figure during scoping so you can compare it against what the calls cost you today, because for most teams that comparison is the actual decision.
Related
Most clients end up combining these.
Next step
Thinking about voice ai agents?
You get a scoping conversation with the people who would do the work, not a sales call. If we are not the right fit we will say so on that call.