Voice agents that hold a real conversation inside your website or app — listening, being interrupted, asking the next sensible question, and handing over to a person when they should.
A voice agent is not a phone menu that learned some vocabulary. There is no numbered list, no "press one", and no fixed path: the visitor talks, the agent listens continuously, understands what was meant rather than matching a keyword, and can be interrupted mid-sentence the way a person can.
We build these as products, not demos. The website you are reading runs one — an agent that speaks with visitors, gathers what a project needs and produces a preliminary estimate — so the engineering described below is work we operate and maintain rather than something assembled for a brochure.
Voice is worth the extra engineering when typing is the obstacle, or when the conversation itself is the product.
Someone with intent lands on your site at eleven at night, finds a contact form, and leaves. A voice agent can hold the conversation immediately and pass a structured summary to your team for the morning.
A form gets a name and a budget range. A conversation gets what the project actually is, what has already been tried, and which constraints are non-negotiable — because it can ask the follow-up question.
The opening qualification call is largely identical every time. Automating that first pass lets people spend their time on the conversations where judgement matters.
Hands busy, on the move, on a phone, or simply faster at speaking than typing. In field, accessibility and mobile contexts, voice is not a novelty — it is the only usable input.
Rigid IVR trees frustrate people into hanging up or pressing zero. Replacing that logic with a system that understands intent removes the tree entirely.
Each of these is a conversation with a defined goal — which is what makes it automatable without becoming frustrating.
Walking someone through what they need — scope, users, integrations, constraints — and recording it as structured data your team can act on, not as a paragraph someone has to re-read.
Establishing fit, timeline and decision process in a natural conversation, then scoring and routing the enquiry to the right person with the context already attached.
Checking availability, confirming details and creating the booking during the conversation, with confirmation sent afterwards through your existing channels.
A spoken walkthrough for a new user, answering questions from your documentation while they are actually in the product rather than reading a help centre.
Field and warehouse staff asking for a record, logging a status or dictating a note without stopping to find a screen.
A spoken route through a service for users who cannot comfortably read or type, offered alongside the visual interface rather than instead of it.
A voice agent is a real-time pipeline with a language model in the middle. Every stage below is one we implement and tune per project.
Audio in, audio out, fast enough that the pause does not feel like a fault.
The part that separates a conversation from a recital, and the part most demos skip.
What the agent is allowed to do is defined in code, not left to the model’s discretion.
The agent’s most important behaviour is knowing when to stop being the agent.
Voice agents we build run in the browser and inside apps over an internet connection.
A live voice agent consumes metered services every second it is speaking.
Voice raises the cost of every mistake: there is no scrollback, no page to re-read, and a wrong turn is heard as incompetence rather than seen as a bug.
Scripting is a small part of it. Most of the work is state design, integration and tuning against real speech.
We define what the conversation is for, what it must collect, and what a successful ending looks like.
Voice needs its own interface thinking: what the visitor sees while listening, speaking and waiting.
The pipeline is assembled, grounded and connected to the systems that receive what the conversation produces.
Tested against how people actually speak — accents, background noise, half-sentences and changed minds.
The first weeks of real conversations teach more than any amount of internal testing.
A conversation is only valuable if what it produces reaches the right system. That is normal integration work and is scoped explicitly.
Answer a few questions and our AI produces an indicative team, effort, cost and timeline range for your project. No signup, and the result is an estimate rather than a quotation.
Voice agents need tuning against real conversations, so most clients move to an ongoing arrangement after launch.
A single conversation goal — qualification, booking or requirement collection — built, integrated and launched to a limited audience so the value can be judged on real conversations.
Best for proving voice fits your audience.
Multiple conversation goals, deeper system integration, escalation paths and the operational tooling your team needs to run it.
Best once a pilot has shown the pattern works.
Monthly capacity for transcript review, prompt and grounding updates, provider changes, cost tuning and incident response.
Best for an agent handling live enquiries.
Voice is the AI capability most often oversold. These are the constraints we state before a project starts.
Transcripts and recordings are only captured where the visitor has given consent, and consent state travels with the record so your team can see it. Disclosure that the visitor is speaking with an AI agent is built in and is not something we will remove on request.
Voice is personal data, and a conversation often contains more than a form would. These are the practices we apply.
We hold no certification and cannot warrant a system secure. Voice conversations frequently capture personal data, so where you operate under a specific privacy regime, raise it during discovery: consent wording, retention periods and data location are design decisions and are far cheaper to set before launch.
An IVR is a fixed decision tree: it plays options, waits for a keypress or a matched keyword, and moves to the next node. A voice agent has no tree. It listens continuously, works out intent from natural speech, keeps track of what has already been said, can be interrupted mid-sentence, and asks follow-up questions that were never scripted. It also knows when it is out of its depth and escalates instead of looping.
No. The voice agents we build run over an internet connection inside a website or a mobile app. We have not implemented telephony, so we do not claim it: no outbound dialling, no inbound phone number, no PSTN or SIP. If phone calling is a requirement, it is a separate integration with a telephony provider and we would scope it as its own piece of work.
It can, but treat it as custom scope rather than a setting. Each language needs its own speech recognition and synthesis configuration, its own grounded content, and its own testing with native speakers — and quality varies by language. We scope and price the languages you actually need rather than claiming everything.
It asks for clarification once, rephrasing rather than repeating. If misunderstanding continues, or the topic is one we have marked as sensitive, it escalates: offering a person, booking a callback or handing over a structured summary to your team. Looping silently is the failure mode we design hardest against.
Only with consent. Transcripts and recordings are opt-in, the consent state is stored with the record so your team can see it, and retention is configured to your policy. Disclosure that the visitor is talking to an AI is built into the opening and is not removable.
Cost scales with conversation minutes rather than traffic, because speech recognition, model reasoning and speech synthesis are all metered. We build in session limits, concurrency caps and per-session cost visibility, and estimate a range during discovery once the expected conversation length and volume are known.
A voice agent talks to your callers in your market's accents, phrasing and business hours, so the market pages below cover call-hour coverage and consent expectations rather than pretending an Indian team answers the phone locally.
SCS Softwares works from Indore, India, and delivers to these markets remotely. We hold no office, company registration, telephone number or staff in any of them.
How remote delivery is arrangedMost projects touch more than one of these. Follow whichever describes the next piece of your build.
There is one on this site — start a consultation and talk to it. Or get an indicative estimate for your own, and send the details to the team.
