Vapi Consultant · Voice AI
Voice AI agents that work on the boring middle of every call.
Every voice AI demo passes the happy path. Real production sits in the interruptions, the voicemail, the dead air, the transfer, the DTMF handoff and the structured record after the call ends. I build Vapi and voice AI agents around that reality, not around the demo.
Bishal Paul
Vapi voice AI consultant · UK based
Hi, my name is Bishal Paul. I am a voice AI consultant working across Vapi, ElevenLabs and Twilio, through Erudience (see erudience.com), alongside my role as Head of AI at Absolute Intelligence UK. Live production includes outbound collections for a telecom with in call payment capture, inbound routing for a retailer across seven departments, voice ordering into Shopify, after hours coverage for a solicitor, and multilingual subsidy qualification for an energy client. Full studies live under Solutions.
Vapi is a strong platform. Managed voice loop, tight LLM integration, faster path to first call than wiring ElevenLabs and Twilio yourself. It is a good pick when you want to focus on prompt and flow design instead of telephony plumbing. No voice AI platform, Vapi included, gives you a production ready agent out of the box, and the engineering that separates a demo from a real system is what this page is about.
Vapi vs alternatives
Six axes worth deciding on before you commit.
Production checklist
Six things every production voice agent handles.
Every one of these is a first class engineering concern with clear branching, retries, and logged outcomes. Not a prompt trick.
Greeting under one second. Intent capture in the first turn. Fallback to human on unclear intent, not on the second unclear turn.
Consent line before anything else. Time of day window respected. Opt out captured cleanly and stored.
Machine detection early. Structured voicemail script or SMS fallback, not the same live script left on tape.
DTMF handoff for card numbers, PIN codes, medical IDs. Voice agent never sees them, transcripts never store them.
Named transfer targets, warm handoff where the tech supports it, context passed with the caller so they do not repeat themselves.
Duration, intent captured, action taken, payment collected, transfer target, human review flag. Written back to your data store, not just Vapi's dashboard.
Deployment patterns
Five voice agent shapes I ship most often.
Inbound receptionist
Replaces an IVR menu with a real conversation. Routes correctly first time, resolves simple queries directly.
Outbound campaign agent
Collections, reminders, appointment confirmation. Voicemail detection, SMS fallback, DTMF payment capture.
Voice ordering into commerce
Turns a call into a live order in Shopify or similar. DTMF confirmation on totals and delivery slots.
Multilingual qualification
Structured eligibility flow in one or more languages. Qualified callers routed onward, disqualifications closed cleanly.
After hours and overflow
Picks up during defined windows. Takes caller details, logs everything, sends a daily summary.
When not to use Vapi
Where the honest answer is a different stack.
Vapi is a good default. It is not the right default for every workload. If two or more of the cases on the right describe you, I will steer to ElevenLabs plus Twilio direct, or to a contact centre native voice layer.
- −Extremely high call volume where cost per minute is the dominant KPI. Managed pricing loses to a hand tuned raw stack.
- −Deep telephony customisation: custom SIP routing, native carrier features, region specific number pools or regulated call recording flows.
- −Existing contact centre vendor already owns the voice layer. Bolting a second managed voice platform on top usually creates more problems than it solves.
- −Static IVR replacement with no real conversational branching. A cheaper TTS plus a simple state machine is enough.
- −Very tight LLM cost budgets where every extra hop between managed services eats margin.
Recent production voice work
Three recently shipped voice agents.
Telecom outbound, DTMF payment handoff, structured call outcome logging.
Turns a call into a live order with DTMF confirmation on totals and delivery slot.
Solicitor overflow line, daily summary email of everything the agent handled.
Answered before the call
Nine questions before you commit to Vapi.
Do you only build on Vapi, or also on other voice AI platforms?+
Vapi is one of several stacks I work with. Default is ElevenLabs plus Twilio directly for tighter control over voice quality and telephony. Vapi is a strong choice when a client wants a managed platform with faster time to first call, or when the build is small enough that owning the raw telephony would be overkill. I will tell you honestly which fits your case.
Can Vapi handle real production volume?+
Yes, with the right architecture around it. Vapi handles the voice loop and LLM plumbing, but a production agent still needs proper telephony configuration, call state persistence, structured outcome logging, retries, DTMF handoff for money, and clear branching for voicemail versus a live human.
How do you handle payment capture on a voice AI call?+
For any card payment or sensitive numeric input, I hand off to a DTMF keypad flow integrated with a proper payment processor. The voice agent never touches the card number. In production for a telecom client for outbound collections at real volume.
What about compliance and call recording?+
First class concern, especially for outbound in regulated sectors. Every build includes explicit consent handling, opt out capture, structured recording where required, and time of day windows for outbound. UK and EU defaults, adjusted for local rules when clients operate elsewhere.
How long does it take to launch a voice agent?+
A single flow agent with good voicemail handling and structured logging is two to four weeks scoping to first live calls. Multi flow with payment capture, multi brand routing or multilingual variants sit in the four to eight week range. Rushing this stage is almost always the wrong call.
What happens if Vapi does not fit?+
I say so at scoping. In practice, about a third of voice engagements end up on a raw ElevenLabs plus Twilio stack instead because the requirements demand it. The engagement runs the same either way, only the underlying vendor changes.
When is Vapi the wrong choice?+
Three cases. One, extremely high call volume where cost per minute dominates every other KPI, a raw stack usually wins. Two, deep telephony customisation like custom SIP routing, native carrier features or region specific compliance flows, where a managed platform gets in the way. Three, teams with an existing contact centre vendor that dictates the voice layer. In all three, ElevenLabs plus Twilio directly is the honest recommendation.
Vapi vs Retell, honestly?+
Retell is stronger on managed transfer flows and warm handoff to human agents, and its live editor is quicker for non technical users. Vapi is stronger on function calling into your own systems, latency tuning and multi provider voice selection. For most SMB inbound and outbound work either will get you live in days. For anything that needs to write cleanly into your CRM, database or payment stack, I lean Vapi.
Do you handle voice AI compliance and call recording?+
Yes. Every voice build ships with explicit consent handling, opt out capture, structured recording where required, and per region time of day windows for outbound. UK and EU defaults, adjusted for other jurisdictions. Recordings and transcripts live in the client's data store under their retention policy, not mine.
Available for new work
Vapi voice AI, UK
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- Direct line to me, not an account manager or a sales team.
- No slide deck. We look at your current workflow and where it hurts.
- Written summary in your inbox within 24 hours of the call.