How do you handle workflows that break most voice AI?+
RMS — Realtime Multimodal Stabilization, with a provisional patent filed — turns your workflow into a deterministic structure that sits above the model. The AI branches through 20+ sequential tool calls in a single conversation — CRM lookups, transfers, follow-ups — without losing the thread, and it runs that way in production every day.
How is this different from the voice AI I've already tried?+
Almost everyone runs a cascaded pipeline: speech-to-text, then an LLM, then text-to-speech. That flattens tone, adds seconds of latency, and breaks on anything complex. Kindred processes voice end-to-end — no transcription layer — and stabilizes it with RMS. Different architecture, different result.
Can a caller talk it into doing something it shouldn't?+
Think of an elevator interlock: the doors physically cannot open between floors, no matter what buttons anyone presses. Kindred works the same way — your workflow defines which actions are unlocked at each step, and an action your process hasn't authorized simply never runs, no matter what a caller says. That enforcement lives in code, outside the prompt. And we're precise about the guarantee: it covers actions, not words — the same procedure on every call, in natural words the agent chooses itself. Handing the call to a person and ending the call are never locked, by design.
How fast can we actually go live?+
Days, not months. You describe how your team handles the call — in a chat window, or out loud to our builder over the phone — and we build the agent for you. Or build it yourself, by voice or by hand, then tweak the workflow until it matches your process exactly. Our fastest production deployment from scratch was 43 minutes. No front-loaded prompt engineering, no FDE army.
Do we need engineers to run or change it?+
No. Workflows are graph-based and editable through a drag-and-drop UI — non-technical staff make changes and hotfixes in real time. One customer's non-engineer built a Mandarin compliance agent in about an hour with no help from us.
How does pricing work?+
Outcome-based: roughly $1–$5 per resolved call depending on the complexity of the task, and you pay nothing for calls we don't resolve. We'll compare that with your current cost per call, on your own volume, before you commit.
Can I try it myself?+
Yes — sign up free at app.kindredvoice.ai and build your own agent by voice or by hand; paid plans start at $20/month. Want to poke around first? You can try it with no account at try.kindredvoice.ai. Enterprise deployments stay white-glove: we build it for you.
Will it connect to our phone system and CRM?+
In most cases, yes. Kindred works with your existing phone system and connects to your CRM and other systems through their APIs. We build those connections for you as part of onboarding: someone on our team reads your system's API documentation and wires it up, scoped with you up front. Older systems without a usable API need a connector built first. Works across voice, SMS/MMS, and email.
