Off-the-shelf platforms like Vapi, Retell AI, and Bland AI give you the building blocks. Codeora Vision gives you the finished system. We build custom AI voice agents for inbound and outbound calls, orchestrated across voice, SMS, email, and your CRM, on LangGraph, MCP, and Claude, agent-native, not retrofitted. Production-grade observability and continuous tuning are part of the build.
Trusted by a multi-location medical group, a regional real estate brokerage, and a national property management firm.
Updated June 7, 2026
HEAR IT LIVE
AI: Hi, this is Mia calling from Acme. Quick question — are you the right person on lead intake?
Caller: Yeah, that's me.
AI: Perfect. I have a 15-minute demo slot Thursday at 10 — want me to put you down and send the calendar invite now?
WHAT THEY ARE
AI voice agents are software systems that hold real, two-way phone conversations, on inbound and outbound calls, without a human on the line. They combine low-latency speech-to-text, a reasoning LLM with function calling, and streaming text-to-speech, so the caller talks naturally instead of pressing through an IVR. Codeora Vision builds them custom to each workflow and CRM.
First-mention enrichments: low-latency speech-to-text (turning speech into text in well under a second) · reasoning LLM (the language model that decides what to say) · function calling (the model triggering a real action, like booking or charging a card) · streaming text-to-speech (the spoken reply, generated as it speaks) · IVR (the old "press 1 for sales" phone menu).
From dental practices and law firms to HVAC and home services, automotive and insurance, and med spas, the use case changes but the system underneath is the same.
Gartner forecasts AI will drive $80B in contact center labor savings by 2026.
That number is not just call deflection. It is outbound calls placed, leads qualified, and follow-ups made that no team had the hours to handle before.
BUILD VS RENT
Per McKinsey's January 2025 Superagency in the Workplace report, 92% of companies plan to invest in AI, but only 1% call themselves mature. The gap is the difference between renting a demo and shipping a system. Hosted platforms are great infrastructure. They are not a finished agent wired to your business.
This is not a knock on the infrastructure. We build on Vapi, Retell AI, Bland AI, and the rest. The point is that a platform login is the start of the work, not the finish. (Shopping for a Vapi alternative or a Retell AI alternative? You may not need one. You may need someone to build on it properly.)
WHAT THEY DO
A receptionist answers the phone. A voice agent runs the whole call program, in and out, and then does the follow-up work the call created. Here is what we build most.
Dials lists, opens, qualifies, and books, then logs the outcome. Per NAR's 2024 benchmark, a sub-5-minute response converts up to 21× more often.
HubSpot · Salesforce
Scores inbound and outbound leads against your criteria and routes hot ones to a rep.
GoHighLevel
Books into the calendar, calls no-shows back, and rebooks. Powers our patient recall and refill voice automation.
Calendly · Acuity
Calls on overdue invoices, takes payment by phone, and confirms, with PCI-aware handling on Stripe.
Stripe
Runs post-call and post-purchase surveys at scale and writes structured results to your CRM.
CDP · webhook
Re-engages lapsed customers and offers upgrades, on the same agent that took the first call.
CRM sync
Runs first-round phone screens with a structured script and summarizes each candidate.
REST API
Takes orders, answers status questions, and transfers edge cases with full context.
Twilio
Outbound shines in specific verticals. We run real estate lead nurture calls and tenant communication automation on the same engine, tuned to each one's rules.
MAP YOUR FLOWS
Send us your call types: outbound, recall, payments, surveys, or service. In a 30-minute review we will map which flows pay back fastest, what they integrate with, and what a build would scope to. NDA from the first minute, no obligation.
OUR STACK
We are stack-agnostic and pick per project. Latency, voice quality, language coverage, and your telephony all decide the build. These are the platforms and models we work with most.
VOICE AGENT PLATFORMS
SPEECH (STT / TTS)
TELEPHONY
REASONING (LLM)
ORCHESTRATION
Curious how we choose? Latency budget, streaming TTS quality, and language needs drive most calls. We document the trade-offs in your architecture review.
HOW IT WORKS
An AI voice agent works as a loop: it listens, reasons, acts, and follows up. Codeora Vision runs the speech layer on Deepgram and ElevenLabs over Twilio or Telnyx, and the reasoning on LangGraph, MCP, and Claude. Because it is agent-native, the agent holds state across turns, uses tools, and pushes results to your CRM.
Answers an inbound call or dials out over a SIP trunk on Twilio or Telnyx. Audio streams over WebRTC with sub-second speech-to-text on Deepgram, handling interruptions and crosstalk.
LangGraph, MCP, and Claude (with GPT-4o where latency matters) drive multi-turn dialogue, keep memory and state, and use function calling with structured outputs to decide the next move.
Books into Calendly or the CRM, qualifies the lead, takes a payment on Stripe, or transfers to a human, then replies with streaming text-to-speech on ElevenLabs or Cartesia.
Fires follow-ups across SMS and email, syncs to HubSpot, Salesforce, or GoHighLevel via n8n and webhooks, writes a post-call summary, and feeds eval dashboards for continuous tuning.
The agent is only half the system. The workflows behind the call, multi-step syncs across several tools, are our workflow automation behind voice flows.
Pairing outbound voice with email and LinkedIn for full pipeline coverage? That is our AI SDR for outbound voice, email, and LinkedIn.
COMPLIANCE
Outbound voice is the regulated part, so Codeora Vision builds the rules in before the first dial. Every outbound flow handles TCPA consent, scrubs against DNC lists, and signs calls with STIR/SHAKEN caller ID. Healthcare flows run HIPAA-safe with BAAs. Recording follows two-party consent law, and data handling follows GDPR and SOC 2 controls.
TCPA
Consent capture and time-of-day rules on every outbound campaign.
DNC
Live scrubbing against federal and internal Do-Not-Call lists before each dial.
STIR/SHAKEN
Signed, attested caller ID so your numbers are trusted, not flagged as spam.
Two-party consent
Call-recording disclosure scoped to each caller's state.
HIPAA
PHI-safe patient calls for medical and dental, with BAAs signed before launch.
GDPR · SOC 2
EU and UK data handling, retention limits, encryption, and audit logging.
TRANSPARENT PRICING
Most agencies quote voice projects behind a sales call. We publish the range. Build cost scales with how many flows, channels, and integrations the program needs. The monthly retainer is optional, because some teams run it themselves.
One inbound or outbound flow, one CRM or calendar, call recording and summaries
OPTIONAL $2,000/MO
Scope this buildSeveral inbound and outbound flows, CRM plus payments, observability dashboard
OPTIONAL $3,500/MO
Scope this buildVoice plus SMS and email orchestration, multi-CRM, continuous tuning and tone training
OPTIONAL $5,000/MO
Talk to an architectThe retainer is optional, not a lock-in. Some clients keep us on for monitoring and tuning. Others take the system in-house after launch. Either way, the build price is published here.
START SMALL
You do not have to automate everything at once. We often start with a single outbound or recall flow, prove the numbers in production, then expand to the full multi-channel program. Pick the call that is costing you the most today.
PROVEN
Speed to first call-back
BEFORE
hours
AFTER
< 60s
Leads worked per day
BEFORE
capped
AFTER
every lead
After-hours lead response
BEFORE
none
AFTER
24/7
A regional real estate brokerage with 200+ agents was reaching new leads hours late, so most went cold. We built a custom outbound voice agent on Retell AI and Twilio, reasoning on LangGraph, MCP, and Claude, integrated to Follow Up Boss. Now every inbound lead gets a call back in under a minute, gets qualified, and books a showing, 24/7. Per NAR's 2024 benchmark, sub-5-minute response lifts conversion up to 21×. Single anonymized deployment, not a guarantee.
FAQ
An AI voice agent is a software system that holds a real, two-way phone conversation on inbound or outbound calls, with no human on the line. It pairs low-latency speech-to-text, a reasoning LLM with function calling, and streaming text-to-speech, so the caller just talks instead of pressing through an IVR. Unlike a single inbound front desk, it can prospect, qualify, book, remind, take payment, and survey. Codeora Vision builds them custom on Vapi, Retell AI, Bland AI, Deepgram, and ElevenLabs.
A voice agent runs as a loop: listen, reason, act, follow up. Speech streams over WebRTC or a SIP trunk on Twilio, with Deepgram for speech-to-text and ElevenLabs for the reply. The reasoning is agent-native on LangGraph, MCP, and Claude, often with GPT-4o for fast turns, so it keeps state, uses tools through function calling, books or charges, and writes a post-call summary to your CRM.
A chatbot handles typed chats on a website or messaging app. A voice agent handles spoken phone calls in real time, which is harder: it transcribes speech in under a second, handles interruptions, and replies with natural streaming text-to-speech. Both can run on Claude or GPT-4o with tool use, but a voice agent adds the telephony and speech stack on Twilio, Deepgram, and ElevenLabs.
An AI receptionist is a focused, inbound use of voice AI for small business front desks: answer, book, route. A voice agent is the broad capability, inbound plus outbound: cold calling, qualification, recall, payment reminders, surveys, and win-back, at any company size. If you only need inbound front-desk coverage, the Codeora Vision AI receptionist for small business is the right fit. For outbound and multi-channel, you need voice agents.
Builds run from $10,000 to $30,000, plus an optional $2,000 to $5,000 per month retainer for monitoring and tuning. A single flow sits at the low end. A multi-channel program across voice, SMS, email, and several CRMs sits at the top. The retainer is optional because some clients run the system themselves after launch.
Yes, and outbound is where they earn the most: cold calling, qualification, appointment recall, payment reminders, surveys, and win-back. Per NAR's 2024 5-minute response benchmark, leads called back within five minutes convert up to 21× more often, and a voice agent calls in seconds. Outbound is regulated, so we build TCPA consent, DNC scrubbing, and STIR/SHAKEN caller ID into every flow.
Many, and the language depends on the speech and model stack, not the agent logic. Deepgram and ElevenLabs cover dozens of languages, and GPT-4o and Claude reason across them, so we regularly deploy English, Spanish, French, German, and Portuguese agents, with more on request. A single agent can detect the caller's language and switch mid-call.
For most callers, yes. An IVR is a rigid phone tree with a pre-recorded message and no understanding of what the caller said. A voice agent uses natural language understanding, so the caller speaks and the agent figures out intent, answers, and acts. No menus, no dead ends, no auto-attendant loop. Codeora Vision replaces the IVR with a conversation on Claude and GPT-4o, while keeping a human transfer path.
DALLAS, TEXAS — RESPONDING IN < 4 HOURS
Tell us the call you would automate first, outbound, recall, payments, or service. We will scope a custom voice agent on your choice of Vapi, Retell AI, or Bland AI, with the reasoning on Claude. You see the plan before anything gets built.