Custom AI Voicebot Development Company
Your support team is fielding the same calls every day: qualification questions, booking requests, after-hours inquiries that go straight to voicemail. RaftLabs is an AI-first tech studio that builds AI voicebots end to end. One team takes your voice agent from idea to launch on Twilio, ElevenLabs, and Agora, connected to your CRM and IVR for 24/7 conversation handling. A working v1 goes live in 6 to 8 weeks, then grows call by call.
One team takes your voice AI agent from idea to launch. No agency handoffs.
Capture leads from calls that would otherwise hit voicemail, 24/7, without adding headcount.
Automate up to 50% of inbound inquiries: routing, FAQs, booking, and triage.
Free your team from repeat calls so they focus on conversations that actually need a human.
Recent outcomes
Voice AI · Group decision platform
75% faster decisions
Built PSi voice chat platform for real-time group decisions. 300+ concurrent users. Decisions 75% faster.
Conversational AI · SaaS chatbot
4x deeper insights
Built a conversational AI platform that turns feedback forms into structured insights through guided conversations, delivering 4x deeper data than traditional surveys. Shipped in 12 weeks.
Healthcare voice AI · RPM app
20% faster decisions
HIPAA-compliant voice-driven clinical workflows. 150+ patients onboarded. 20% faster clinical decisions.
The problem
Support staff answering the same calls on repeat, every day?
After-hours calls hitting voicemail while leads go cold?
Short answer
RaftLabs builds custom AI voicebots for businesses across the US, UK, Europe, Canada, and the UAE. Voice agents answer inbound calls, qualify leads, and book appointments 24/7. A basic voicebot starts from $10,000, with a working v1 live in 6 to 8 weeks that grows as call volume rises.
Key takeaways
A prospect calls at 9pm with a booking question. It hits voicemail. By morning they have booked somewhere else. Meanwhile, all day, your support team answers the same qualification questions, the same FAQs, the same booking requests, on repeat.
An AI voicebot picks up every one of those calls. It qualifies the lead, answers the routine question, books the appointment, 24/7, without adding headcount. Repeat questions stop reaching a person. After-hours prospects stop going cold.
One voice agent handles the line, wired into your CRM and IVR, so a human only steps in when the conversation actually needs one.
Gartner projected that conversational AI would cut contact center agent labor costs by $80 billion (Gartner, 2022 forecast). For businesses fielding high volumes of repetitive inbound calls, AI voicebots are the most direct lever to capture that saving without adding headcount.
RaftLabs is an AI-first tech studio that has shipped production software since 2015 for businesses across the US, UK, Europe, Canada, and the UAE. One team takes your voice agent from idea to launch on Twilio, ElevenLabs, and Agora, connected to your CRM and IVR, with a working v1 in 6 to 8 weeks that grows as call volume rises. Voice agents handle inbound calls, qualify leads, and book appointments 24/7, automating up to 50% of inbound inquiries: routing, FAQs, booking, and triage.
Everything on the left should already be true for your business. Even one thing on the right, and a voicebot is not the right spend yet.
High volumes of repetitive inbound calls: qualification, FAQs, booking, or triage.
After-hours or overflow calls hitting voicemail while leads go cold.
An existing CRM, IVR, or booking system for a voice agent to plug into.
What we build
That is the mistake we see most often. A text chatbot can take a full second to think, and nobody minds. On a phone call, a full second of silence reads as a dropped line. Voice adds a hard real-time constraint that text never had, and it is the constraint that decides whether the call feels human or broken.
The number to design against is turn-taking. Across ten languages, the average gap between one speaker finishing and the next replying is about 200 milliseconds (Stivers et al., PNAS, 2009). A voice agent that misses that budget either talks over the caller or leaves dead air. So we hold the entire loop, from the caller's last word to the agent's first sound, to a strict latency budget on every single turn.
Around that loop sit the parts that decide whether a voicebot survives real traffic. Telephony is the first: we connect the agent to your phone numbers and IVR over Twilio and SIP, so it lives on the same lines your callers already use, with call transfer, DTMF menus, and voicemail fallback intact. Guardrails are the second: the agent answers from your retrieved data and stays inside a defined scope, it never improvises medical, legal, or billing advice, and low-confidence turns escalate rather than hallucinate. Escalation is the third: when a call needs a person, the agent hands off with the transcript, the caller's intent, and the account ID attached, so no one repeats themselves to a human who starts from zero.
We have built this loop in production. PSi runs live group-audio decision sessions with hundreds of concurrent speakers. Perceptional runs AI phone interviews on Twilio and ElevenLabs. Call Eva, our own voice agent, answers inbound hospitality calls end to end. The proof below is voice and conversational work, not a generic app portfolio.
Tell us your call volume and what your team keeps repeating. We'll scope the voicebot and give you a cost.
How it works
A step-by-step approach that keeps you in control from the first idea to launch. Move faster, cut risks, and build a voicebot that fits your users, systems, and business goals.
We begin with a product discovery service, or a discovery call, to understand your business goals, target audience, and the problems you want to solve. Together, we define your voicebot's purpose and map your existing systems, integrations, and supported languages.
Deliverables: project brief, initial roadmap, requirements document.
Our team maps end-to-end user flows and designs voicebot scenarios based on your business needs. We create wireframes or prototypes to visualize how users will interact across different conversation paths before any code is written.
Deliverables: UX wireframes, conversation flow diagrams, use case documentation.
We select the right AI platforms for NLP, speech recognition, and text-to-speech based on your requirements and budget. Our team defines a production-ready backend architecture, secure APIs, and the databases your voicebot needs to function reliably.
Deliverables: technology stack recommendation, technical architecture document, integration plan.
We build training data from your existing FAQs, chat transcripts, or simulated conversations. Our developers integrate NLP engines, test real-world scenarios, and fine-tune the bot's understanding across a wide range of user inputs.
Deliverables: trained AI/NLP models, working voicebot prototype, speech recognition and NLP accuracy report.
We build the voicebot in iterative cycles - core features first, then expanding. Each sprint ends with a review meeting where you give feedback on what has been built before we move to the next phase.
Deliverables: voicebot v1 with real call-handling capability.
We run full testing across devices and platforms: functional, usability, performance, and accuracy. User acceptance testing (UAT) is done with you so the bot meets your standards before it goes live.
Deliverables: test cases and reports, updated flows and improvements based on feedback.
We deploy the voicebot to your chosen platforms and connect it with your business systems. Our team provides training and documentation to help your staff manage and monitor the bot from day one.
Deliverables: live, fully integrated voicebot; deployment documentation.
After launch, we monitor usage, collect analytics, and gather user feedback to identify areas for improvement. We implement updates and add features as your needs evolve, keeping your voicebot effective long-term.
Deliverables: regular performance check-ins, regular optimization updates.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
United KingdomWhat distinguished RaftLabs from other providers was their fantastic ability to build real-time engagement-based products.
01 / 02
What drives the price is scope, not negotiation:
What it costs
A voicebot built on Twilio, ElevenLabs, and Agora, connected to your CRM and IVR, scoped to your call volume.
A basic voicebot with 1-2 core features starts here. A working v1 in 6 to 8 weeks, with more intents and channels layered in as call volume grows.
Every repeat call the bot handles is one your team does not. Automate up to 50% of inbound inquiries, routing, FAQs, booking, and triage, without adding headcount.
Timeline
A working voicebot v1 ships in 6 to 8 weeks, connected to your CRM and IVR, then grows call by call.
Confidentiality
We sign an NDA before any technical discussion, covering your conversation flows, customer data, and integration details.
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Read moreTimelines vary depending on features and complexity. For most businesses, we launch a working v1 in 6-8 weeks, then expand it call by call. Talk to our team to get a clear timeline tailored to your goals.
The cost depends on the bot type, features, and integrations. A basic voicebot with 1-2 core features typically starts from $10,000. Schedule a free consultation or check our pricing page for details.
The key benefits of voicebots are:
Voicebots help your business scale without adding pressure on your team.
Yes. Voicebots are a great fit for small businesses. They reduce staffing needs, automate support, and keep your business responsive 24/7, even with a lean team.
Voicebots are used across many sectors, including:
If your business handles repetitive conversations, scheduling, or service requests, a voicebot can help.
For standard customer service operations where Tier-1 queries (order status, account inquiries, subscription changes, password resets) dominate, voice AI agents typically handle 50 to 70 percent of inbound volume end-to-end without human involvement. Calls that do need a human get a structured triage first, account ID, issue category, sentiment signal, so the transfer arrives with context instead of the caller repeating themselves.
Yes. We sign NDAs before any technical discussion. Every engagement includes a confidentiality agreement covering your business logic, conversation flows, customer data, and integration details. We have signed NDAs with clients across the US, UK, Europe, Canada, and the UAE before scoping a single line of code.
Work with us
We scope AI Voicebot Development Company in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
