If Twilio feels too USD-centric and too heavy for a focused voice build, there is a leaner path. Sautikit gives you programmable voice with JSON voice-actions, KES-native billing, and instant numbers, without leaving realtime-AI builders behind.
TL;DR
Sautikit answers with a plain JSON voice-actions response or your existing XML (accepted and forwarded byte-for-byte) and bills in KES over M-Pesa: no FX, no card required.
A working number costs ~KES 116 and activates instantly, versus Twilio's per-number pricing and USD wallet.
The <Stream> media fork is a direct equivalent of Twilio Media Streams, so realtime voice-AI builds are fully covered.
Twilio is the right call when you need dozens of countries, deep SDK coverage across many languages, and a mature ecosystem of add-ons. That global reach and breadth are real advantages.
Sautikit is the right call when your voice traffic is Kenya-first (and expanding), you want to bill and settle in KES without an FX line item, and you prefer a small, sharp API over a sprawling console. If you also need SMS, WhatsApp, USSD, or an agent desk, Helloduty covers those channels while Sautikit handles voice.
Twilio drives call flow with TwiML, an XML dialect (<Say>, <Gather>, <Dial>). Sautikit's voice_callback_url is JSON-native but also accepts XML, so your webhook can answer with an actions array or return raw XML directly.
If you are coming from TwiML, both forms below work at runtime: return JSON or XML, whichever fits your codebase. Sautikit parses and validates the JSON DSL; the XML is forwarded to the telephony engine byte-for-byte, so you can keep your TwiML muscle memory:
<Response><Say language="en-KE">Karibu. Press 1 for sales.</Say><GetDigits maxDigits="1" timeout="5" finishOnKey="#"> <Say language="en-KE">Enter your choice.</Say></GetDigits></Response>
Two migration gotchas: <GetDigits> nests its prompt <Say> inside the element (it is not a separate action), and XML uses maxDigits where JSON uses numDigits.
The verbs map cleanly to TwiML: say ↔ <Say>, getDigits ↔ <Gather> / <GetDigits>, dial ↔ <Dial>, play ↔ <Play>, record ↔ <Record>, conference ↔ <Conference>, redirect, reject, and hangup. Webhook form fields include Digits and From, so your handler reads them the same way you would a Twilio callback. Full reference: /developers/concepts/voice-actions.
Twilio runs on a USD wallet funded by card, which means every Kenyan shilling you spend passes through an FX conversion and card fees. Sautikit's wallet is prepaid in KES, topped up with an M-Pesa STK push. No card on file.
Outbound voice is KES 3.00/min, billed per second from the moment the call connects. Inbound is free (KES 0). See /pricing for the source of truth. Per-second billing matters for IVR and OTP flows where calls are short; you are not rounded up to the minute.
Claiming a Sautikit number costs from KES 100/month ex VAT (KES 116 incl. VAT) and provisions instantly. That is the sharpest contrast with legacy providers: a working number for the price of lunch, live in seconds, no procurement ticket.
If you build voice agents, the question is always: can I fork live audio to my own model? Yes. Sautikit's <Stream> verb forks call audio to a WebSocket as raw binary PCM, the direct counterpart to Twilio Media Streams. Return it as raw XML:
It is bidirectional: your WebSocket server plays audio back into the call by sending binary PCM frames on the same socket. The server must accept the audio.drachtio.org subprotocol.
import { WebSocketServer } from "ws";const wss = new WebSocketServer({ port: 8080, handleProtocols: () => "audio.drachtio.org" });wss.on("connection", (ws) => { ws.on("message", (frame, isBinary) => { if (isBinary) { // raw PCM in: pipe to your STT / model // send PCM back on the same socket to speak into the call ws.send(synthesize(frame)); } });});
Status events carry callSessionState (StreamStarted, StreamStopped, StreamError) plus a streamSid, so you can track the fork lifecycle the way you would Media Streams' start/stop/media messages.
The most common first migration step is replacing Twilio's client.calls.create(...). On Sautikit it is a single POST: no SDK required, just global fetch.
Then poll GET /v1/calls/{id} or subscribe to call.answered / call.completed webhooks (status answered, no-answer, busy, or failed). If your wallet is empty you get 402 wallet.insufficient_balance; top up over M-Pesa and retry with the same Idempotency-Key.
Is Sautikit a drop-in replacement for Twilio?
Closer than you'd expect. Sautikit accepts raw XML at runtime and forwards it to the telephony engine byte-for-byte, so you can keep returning your TwiML-style flows; the main change is swapping the SDK for plain HTTP. If you'd rather build call flows in code, the JSON voice-actions DSL is there too (Media Streams map to <Stream>). Most single-region voice apps migrate in an afternoon.
Do I need Twilio's country coverage?
If you dial across many countries, Twilio's global footprint is a genuine reason to stay. Sautikit is Kenya-first and expanding, so it fits teams whose voice traffic is concentrated where we operate today.
Can I still build realtime voice AI?
Yes. The <Stream> verb forks live PCM audio to your WebSocket and accepts PCM back on the same socket, which is the same building block as Twilio Media Streams for STT, LLM, and TTS pipelines.
How is billing different?
Sautikit bills in KES from a prepaid wallet funded by M-Pesa, with per-second voice and free inbound. There is no USD conversion and no card requirement.
What about SMS or WhatsApp?
Sautikit is voice-focused by design. For SMS, WhatsApp, USSD, or an agent desk alongside voice, use Helloduty, the multi-channel platform Sautikit is part of.
Point one Twilio call flow at Sautikit: keep its TwiML (Sautikit accepts XML) or express it as a JSON actions response, then set your number's voice_callback_url to it.