Ortem Technologies

    AI & ML Solutions

    AI Voice Agent Development

    AI phone agents that answer, book and resolve calls, then hand off to your team

    We build voice agents for support lines, receptionists and outbound calls on Twilio, Vapi or Bland AI, connected to your CRM and booking systems. Production agents typically cost $25,000–$80,000 and go live in 6–10 weeks. Our ClearVoice agent resolves 58% of a financial services company's calls without a person.

    See Costs per Minute
    Clients Worldwide
    300+
    Projects Delivered
    1,000+
    Rated on Clutch & GoodFirms
    5/5
    Years Experience
    13+

    A voice agent is worth building when a large share of your calls are the same handful of questions or tasks, and each one can be finished by looking something up or changing something in a system you already have. Balance checks, order status, appointment changes and opening hours fit. Complaints, negotiations and anything that needs judgement stay with your team.

    Why latency decides whether it works

    Callers notice a pause long before they notice a wrong word. Replies under roughly 900 ms feel like a conversation; above that, people start talking over the agent. Speech recognition, the model, any CRM lookup and speech synthesis all add to that budget, so we choose each part of the stack against your latency target and measure the slowest calls, not only the average. Our voice agent latency and cost benchmark shows the trade-off between four stacks.

    Voice agent, chatbot or both?

    Most teams that build a voice agent also want the same answers in chat. The knowledge base, integrations and escalation rules can be shared, so the second channel costs far less than the first. See AI chatbot development for the chat side, or AI agent development for back-office workflows with no caller on the line.

    Pricing

    Voice Agent Platforms, Costs and Latency

    Per-minute run cost covers telephony, speech-to-text, the language model and text-to-speech.
    ApproachWhen it fitsTime to productionRun cost per minuteResponse latency
    Managed platform (Vapi)Pilots and simple inbound flows where speed to market matters most1–2 weeks$0.05–$0.10800–1,200 ms
    Outbound platform (Bland AI)High-volume outbound calls with prior consent3–5 days$0.09900–1,400 ms
    Custom stack on TwilioProduction support lines with CRM lookups, authentication and compliance4–12 weeks$0.03–$0.08650–900 ms

    A production build with telephony, CRM or booking integration, escalation, monitoring and evaluation typically costs $25,000–$80,000 and takes 6–10 weeks for a scoped set of call types. Healthcare intake adds HIPAA scope. The full comparison is in Twilio vs Vapi vs Bland AI.

    Use cases

    Voice Agents We Build

    Inbound Support Lines

    Account balances, order status, password resets and the other top call reasons answered from your systems, with authentication by account number, date of birth or one-time code.

    AI Receptionist and Booking

    Answers every call, books, reschedules and cancels appointments in your calendar or practice system, and covers evenings and weekends.

    Outbound Calls with Consent

    Reminders, renewals, lead qualification and survey calls, with consent checks, calling windows and opt-out handling built into the flow.

    Actions During the Call

    Looks up records, creates tickets, takes payments through your provider and updates Salesforce or HubSpot while the caller is still on the line.

    Warm Handoff to People

    Transfers to a live agent with a call summary when the caller asks, gets frustrated or the request is outside scope.

    Healthcare and Financial Compliance

    HIPAA-ready intake and scheduling, call recording controls, PII redaction in transcripts and audit logs for regulated teams.

    Call Analytics

    Deflection rate, handle time, escalation reasons and cost per call on one dashboard, plus transcripts of every call that went wrong.

    Results

    ClearVoice: AI Voice Agent for Financial Services

    A financial services company was paying a 14-seat contact centre to answer 4,000+ calls a month, most of them balance checks and routine account questions. We put a voice agent on their existing Twilio number that verifies callers against the core banking API, resolves the most common call types and hands everything else to an agent with a summary.

    of calls resolved without an agent
    58%
    average handle time
    87 sec
    caller satisfaction on AI calls
    4.2 / 5
    agent hours freed per month
    380+
    Read the case study

    How it works

    How a Voice Agent Project Runs

    1. 01

      Call Audit

      We listen to recordings or read call logs and rank call reasons by volume. The agent starts with the top few that can be fully resolved.

    2. 02

      Stack Choice

      Managed platform or custom Twilio pipeline, decided by your latency target, compliance needs and expected minutes per month.

    3. 03

      Build and Integrate

      Call flows, authentication, CRM and booking lookups, escalation rules and the voice itself, tested against scripted and real calls.

    4. 04

      Shadow and Pilot

      The agent takes a share of live calls while we review every transcript and fix wrong answers and slow turns.

    5. 05

      Scale and Tune

      Roll-out to the full line, new call types added one at a time, and a monthly report on deflection, handle time and cost per call.

    FAQ

    Frequently Asked Questions

    A production voice agent with telephony, connections to your booking, CRM or ticketing system, escalation to people, monitoring and evaluation typically costs $25,000–$80,000 to build. Running it costs $0.03–$0.08 per minute on a custom Twilio stack, or $0.05–$0.10 per minute on a managed platform such as Vapi.

    A pilot on a managed platform can take calls in 1–2 weeks. A production agent with CRM lookups, caller authentication and compliance work takes 6–10 weeks for a scoped set of call types, and up to 12 weeks on a fully custom Twilio pipeline.

    Use Vapi to prove the idea quickly. Use Bland AI for high-volume outbound calling with prior consent. Build on Twilio Media Streams when you need the lowest latency, specific speech and model choices, deep CRM integration or HIPAA and financial-services compliance. Many teams pilot on Vapi and move to Twilio for production; that migration usually takes 6–10 weeks.

    We recommend the agent says it is an AI assistant at the start of the call. Acceptance depends on speed and honesty: replies under about 900 ms feel natural, interruptions are handled, and callers can reach a person whenever they ask. On our ClearVoice deployment, callers rated AI-handled calls 4.2 out of 5.

    In the US, outbound AI calls require prior express consent under the TCPA, and the platforms place that responsibility on you. We build consent checks, call windows and opt-out handling into outbound flows, but your legal team should sign off before a campaign launches.

    It hands the call to a person with a summary of what was said, so the caller does not repeat themselves. Escalation also triggers on frustration signals, legal language or repeated failed attempts, not only when the caller asks.

    Find Out Which Calls an Agent Can Take

    Share your top call reasons and monthly call volume. On a 30-minute call we tell you which ones an agent can resolve, the stack we would use, and the build and per-minute cost.

    Also see: AI Chatbot Development · AI Agent Development · AI Integration