I am Bishal Paul. I build conversational AI and voice agents for teams that need them running every day, not sitting in a demo. My production voice work covers outbound collections for a telecom (with in call payment capture), inbound routing for a retail business across seven departments, voice ordering into Shopify, weekend and overflow call coverage for a solicitor's office, and multilingual subsidy qualification for an energy client.
Vapi is one of the platforms I work with. It gives you a well designed voice loop, tight LLM integration, and a faster path to first call than wiring ElevenLabs and Twilio yourself. It is a strong pick for agents that need to ship quickly, and for teams that want to focus on prompt and flow design rather than telephony plumbing.
That said, no voice AI platform, Vapi included, gives you a production ready agent out of the box. The engineering that separates a demo from a real system is what most of this page is about.
- Design Vapi flows for inbound receptionist and outbound campaign agents
- Wire Vapi to your CRM, helpdesk, or Supabase for structured post call records
- Handle voicemail detection and branching so the agent behaves correctly on missed humans
- Add DTMF handoff for payment capture without ever exposing card numbers to the LLM
- Build multilingual variants where the customer base needs them
- Set up call recording, transcription, and compliance defaults
- Advise on Vapi versus Retell versus raw ElevenLabs plus Twilio for your use case
- Operate the agent in production after launch, not only build it
Vapi is the right choice when you want a managed voice loop, a shorter time to first live call, and a stack that already includes retry logic, streaming, and function calls. It hides a lot of complexity that is otherwise easy to get wrong.
A raw ElevenLabs plus Twilio stack is the right choice when you need very tight control over voice quality, telephony behaviour, or cost per minute at high volume, and when you have the engineering appetite to own the underlying complexity. Most of my telecom scale voice work sits on this stack for exactly those reasons.
I am comfortable in both worlds and I will pick the stack that fits your specific problem, not the one I want to sell you.
A demo agent handles the happy path. A production agent handles the boring middle of every call: interruptions, silence, voicemail, dead air, transfer, escalation, and callback logic. Every one of those is a first class engineering concern with clear branching, retries, and logged outcomes, not a prompt trick.
Every real call also ends with a structured record. Duration, intent captured, action taken, payment collected, transfer target, and any human review flags all get written back to a data store so the business can see the operation, not just the transcript.
The most common opening engagements are a proof of concept voice agent for a specific use case, a rebuild of an existing Vapi flow that is struggling in production, or a migration between voice platforms because the current one is not holding up. A short discovery call is enough to tell which of those you actually need.
- Inbound receptionist and routing agent
Answers every call, understands what the caller needs, and routes to the correct department or resolves the query directly. Replaces a legacy IVR menu with a real conversation.
- Outbound campaign agent with payment capture
Runs collections or reminder campaigns at scale, detects voicemail, falls back to SMS, and captures payment on the call via a DTMF handoff to a payment processor.
- Voice ordering into an e commerce backend
Turns a phone call into a live order in the merchant's storefront (for example Shopify), with DTMF confirmation on totals and delivery slots for accuracy.
- Qualification and screening agent
Runs a structured eligibility conversation, in one or more languages, and routes qualified leads onward while cleanly closing out disqualifications.
- After hours and overflow coverage
Picks up during defined windows, takes caller details, logs everything, and sends a daily summary. Priced on a setup plus per minute model.
Do you only build on Vapi, or also on other voice AI platforms?+
Vapi is one of several stacks I work with. The default I reach for is ElevenLabs plus Twilio directly, because it gives the tightest control over voice quality and telephony behaviour. Vapi is a strong choice when a client wants a managed platform with a faster path to first call, or when the build is small enough that owning the raw telephony would be overkill. The right choice is a design decision, not a preference, and I will tell you honestly which stack fits your use case.
Can Vapi handle real production volume?+
Yes, with the right architecture around it. Vapi handles the voice loop and the LLM plumbing, but a production agent still needs proper telephony configuration, call state persistence, structured outcome logging, retries, DTMF handoff for anything involving money, and clear branching for voicemail versus a live human. That surrounding architecture is where most of the engineering work sits, and it is the same discipline whether you use Vapi, Retell, or a raw ElevenLabs plus Twilio stack.
How do you handle payment capture on a voice AI call?+
For anything involving a card payment or a 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. This has been in production for a telecom client for outbound collections at real volume, and the same pattern applies whether the underlying voice layer is Vapi, ElevenLabs, or something else.
What about compliance and call recording?+
Compliance is a first class concern, especially for outbound calls in regulated sectors. Every build includes explicit consent handling, opt out capture, structured recording where required, and time of day windows for outbound calling. I work to UK and EU compliance defaults and adjust for local rules when the client operates elsewhere.
How long does it take to launch a voice agent?+
A single flow agent with good voicemail handling and structured logging is typically two to four weeks from scoping to first live calls. Multi flow agents 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.