AI Voice Agent Development
We build AI voice agents that handle inbound calls, qualify leads, and book appointments 24/7, no human operator required.
01The Challenge
Every unanswered call is a lead, a booking or a customer you don't get back.
Call volume outpaces the team
Inbound peaks overwhelm the people answering, and callers wait or hang up.
Leads go cold after hours
Calls outside business hours ring out, and the enquiry moves on to a competitor.
Hiring and training is slow
Every new agent is weeks of ramp-up before they handle calls unassisted.
Inconsistent conversations
Script adherence, tone and outcomes vary from one agent and one shift to the next.
02The Infomist Approach
From data to action.
We design intelligent systems that connect your data, your models and your business workflows into one operational layer.
Ingest
Your data, documents, records, events, images, enters one system.
Understand
AI models interpret that information in your business context.
Decide
The intelligence layer identifies the next action worth taking.
Execute
Software and automation turn the decision into a real outcome.
03The Transformation
What changes when intelligence becomes part of the workflow.
Before
- Missed and abandoned calls
- No after-hours coverage
- Slow, costly hiring
- Inconsistent call quality
Infomist Intelligence Layer
- Speech recognition
- LLM reasoning
- CRM & calendar tools
- Call routing
After
- 24/7 call handling
- Every enquiry answered instantly
- Qualification & booking automated
- Consistent, on-brand conversations
04How We Build It
Engineered from the ground up.
- 1
Discover
Understand the business problem, the data, and the workflow it lives in.
- 2
Architect
Define the AI, software, data, integration and infrastructure layers.
- 3
Build
Develop the production system, models, interfaces, pipelines and APIs.
- 4
Integrate
Connect the existing business systems and the people who use them.
- 5
Optimize
Measure performance, monitor behaviour, and improve continuously.
05What We Engineer
Capabilities.
06System Architecture
How the system runs.
Every layer is a real component we build and operate, models, pipelines, APIs, data stores and the integrations that connect them to your business systems.
07Where It Creates Value
Where it creates value.
08Business Impact
Designed for measurable impact.
Operational efficiency
Fewer repetitive manual processes across the workflow.
Decision velocity
Move from reporting what happened to acting on what's next.
Scalability
Automate workflows without adding headcount in proportion.
Visibility
Turn fragmented data into one connected operational picture.
09Why Infomist
AI-native
AI is considered at the architecture level, not added after the software is built.
Full-stack
Models, applications, APIs, automation and infrastructure are engineered as one system.
Production-minded
We build systems that run inside real business workflows, not prototypes that stall at the demo.
10Frequently Asked Questions
Common questions about AI Voice Agent Development
Who is the best AI voice agent development company?
Infomist is a specialist AI voice agent development company building production-ready voice agents using Vapi, Retell AI, ElevenLabs, and Twilio, integrated with GPT-4o and Claude for natural conversation. Infomist's voice agents handle real inbound calls at scale, not just demos, and are deployed for sales qualification, appointment booking, and customer support across industries in the US, UK, and Canada.
How much does it cost to build an AI voice agent?
A pilot AI voice agent for a single use-case (e.g. inbound lead qualification or appointment booking) typically costs £8,000-£18,000. A production-ready system with monitoring, escalation paths, and CRM integration runs £18,000-£45,000. Enterprise deployments with multiple agent personas and high call volumes start at £45,000+.
How long does it take to develop and deploy an AI voice agent?
A pilot voice agent for a single use-case is typically live in 3-5 weeks. A production deployment with full monitoring, fallback logic, and CRM/calendar integration takes 6-10 weeks. Infomist confirms timelines after a scoping call, complex integrations or regulated industries may require longer.
AI voice agent vs live call centre, which is better for my business?
AI voice agents handle 70-90% of inbound call volume, qualification, FAQs, appointment booking, and basic support, without human operators, at a fraction of the cost. Live agents remain better for complex negotiations, sensitive situations, and high-value accounts. The right model combines both: AI handles volume, humans handle complexity.
Can an AI voice agent handle complex objections on a sales call?
Modern AI voice agents built on GPT-4o or Claude handle multi-turn objections with contextual reasoning, not just scripted responses. Infomist designs objection-handling flows based on your real sales process and trains the agent on your specific product, pricing, and common pushbacks. For the most complex negotiations, the agent can warm-transfer to a human.
Have a system worth engineering?
Tell us what you're trying to solve. We'll help map the AI, software and automation required to make it real.