AI Development / Voice AI agents
Voice AI agents for the calls your team repeats every day.
Live conversational agents for scheduling, verification and follow-up, with a clear path to a person when a call goes off script.
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Sound familiar? Four problems we are usually called in to fix.
Calls go unanswered after hours
Bookings and questions wait for office hours, and callers go elsewhere.
- Live call agents around the clock
- Scheduling and rescheduling
- Connected to your scheduling system
Staff spend hours on routine calls
Verification and reminder calls follow the same script every time.
- Verification calls
- Follow-up calls
- Reusable call flows
Callers get stuck with a bot
When a case needs a person, there is no clean way out.
- Human escalation built in
- Context passed to the agent
- Clear hand-off rules
Call outcomes never reach your systems
What was agreed on the call has to be typed in again.
- Results written to your systems
- Every call logged
- Specialised agents per task
Every call answered, every follow-up made.
Let’s talkVoice AI services. Call agents designed around your real call types.
Call flow design
Map your routine call types and decide which ones an agent should handle.
Scheduling & rescheduling
Agents that book, confirm and move appointments during a live call.
Verification calls
Agents that confirm identities and details before anything proceeds.
Follow-up calls
Outbound follow-ups handled consistently, without staff time.
Human escalation
A clear hand-off to a person whenever a conversation goes outside scope.
Multi-agent orchestration
Specialised agents per call type that pass context to each other.
Reusable call framework
One framework that extends to new call types without a rebuild.
System integration
Agents connected to scheduling and records systems through their APIs.
Monitoring & review
Calls logged and reviewable, so quality can be checked and improved.
Voice and conversational AI we have shipped. Each result comes from a delivered engagement.
Multi-agent voice AI
Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed.
~50% fewer manual handling cases AI · TravelCustomer support assistant
A support assistant grounded in live inventory data, available around the clock.
~35% fewer repeat contacts AI · Agent platformsAI agent platform
Agents retrieve, reason and act across systems, with human approval before high-stakes actions.
~40% less manual effortWhy teams add voice agents. Staff time moves to the calls that need a person.
Fewer routine calls for staff
Agents handle scheduling, verification and follow-ups directly.
A person when needed
Escalation is part of every conversation, not an afterthought.
Consistent handling
Every routine call follows the same steps.
Extends to new call types
A reusable framework grows with your operation.
Have calls your team repeats every day?
From idea to production. Four stages, with a working version reviewed at each one.
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Discovery
Map the call types, the systems and data involved, and what good looks like.
Discovery notes
- Routine call types and volumes
- Where escalation is needed
- Systems the calls touch
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Scope & architecture
Agree the architecture, success measures and delivery milestones.
Solution design
- Call flows per agent
- Escalation rules
- Integration points
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Build
Build against real data, with a working version reviewed at each milestone.
Working build
- Agents tested on real call scenarios
- Escalation paths verified
- Review at each milestone
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Ship & support
Roll out to production with monitoring and a defined support window.
Production rollout
- Live rollout
- Call monitoring
- Defined support window
Results from our conversational AI work. Each number links to the engagement it came from.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A dedicated team that works as an extension of yours, from first release to scale.
Project-based
A defined scope, milestones and delivery date for a specific product or workflow.
Consulting & advisory
Architecture and readiness advice before you commit to a build.
What our clients say.
AI platform for an insurance broker
“Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.”
Guides on this topic. Plain answers to the questions buyers ask first.
AI Customer Churn Research: Why Follow-Ups Beat Surveys (2026)
How a conversational agent finds out why customers left, with the quotes behind every theme.
Read the guide → GuideAI Agent Development Cost: What Drives the Price (2026)
What drives the price of an AI agent: scope, complexity, iterations and retainer.
Read the guide → GuideEnterprise AI Deployment: Why Projects Stall in Pilot
The eight causes we see most, and a roadmap that gets AI live.
Read the guide →Voice AI FAQs.
What can a voice AI agent handle?
Routine, well-defined calls such as scheduling, verification and follow-up. Anything outside that scope escalates to a person.
What happens when a caller needs a person?
The agent hands the call to a human operator. Escalation is designed into every call flow.
Can it work with our scheduling and records systems?
Yes, through their APIs. We confirm the integration points during discovery.
Can we add new call types later?
Yes. We build on a reusable framework, so new call types extend it rather than starting over.
How long does a project take?
It depends on scope and integrations. We agree milestones up front and review a working version at each one.
What should a voice AI agent never do on its own?
A voice AI agent should hand over to a person for payments, complaints and anything outside its approved topics. We design those handover rules first, guided by the NIST AI Risk Management Framework.
Free tool
How ready is your business for AI?
Twenty questions, about four minutes. You get a score across five areas and what to fix first.