--- title: Voice AI Agent Development Services | Avinya Labs description: Voice AI agent development by Avinya Labs: live call agents for scheduling, verification and follow-up, with a human escalation path. ~50% fewer manual handling cases in healthcare operations. url: /service-pages/service-ai-voice-ai.html --- [AI Development](/service-pages/service-ai-development.html) / 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. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-voice-ai.html#solutions) [~50%Fewer manual handling cases](/case-studies/multi-agent-voice-ai.html) [Reusable Framework across call types](/case-studies/multi-agent-voice-ai.html) [Built in Human escalation path](/case-studies/multi-agent-voice-ai.html) ## Voice 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. AI · Healthcare ### 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 Link: /case-studies/multi-agent-voice-ai.html AI · Travel ### Customer support assistant A support assistant grounded in live inventory data, available around the clock. ~35% fewer repeat contacts Link: /case-studies/ai-travel-chatbot.html AI · Agent platforms ### AI agent platform Agents retrieve, reason and act across systems, with human approval before high-stakes actions. ~40% less manual effort Link: /case-studies/enterprise-ai-agent-platform.html ## Why 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? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## From idea to production. Four stages, with a working version reviewed at each one. ### Discovery Map the call types, the systems and data involved, and what good looks like. Discovery notesDone - Routine call types and volumes - Where escalation is needed - Systems the calls touch ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Call flows per agent - Escalation rules - Integration points ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Agents tested on real call scenarios - Escalation paths verified - Review at each milestone ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Live rollout - Call monitoring - Defined support window ## Results from our conversational AI work. Each number links to the engagement it came from. ~50% Fewer manual handling cases Voice AI → Link: /case-studies/multi-agent-voice-ai.html ~35% Fewer repeat contacts Travel chatbot → Link: /case-studies/ai-travel-chatbot.html ~40% Less manual effort AI agent platform → Link: /case-studies/enterprise-ai-agent-platform.html ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### 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, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker Result~2.5x Faster processing speed [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## 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. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)