An AI agent backed by your own workflows.

Your agent's tools are the workflows you've already built

There's no separate "agent tools" system to configure. Any workflow in younifyd — order lookup, return eligibility, inventory check — can be handed to an agent as a callable tool, the same way it's already exposed to your storefront or an external AI via MCP.

Give the agent a system prompt and the tools it's allowed to use, and it decides when to call them based on what the shopper actually asks. Change the underlying workflow once, and every agent using it picks up the change immediately.

0separate tool definitions to maintain

Words appear on screen while the shopper is still talking

Most "voice AI" products record a clip, upload it, wait for transcription, then respond — a pause that feels broken in a real conversation. younifyd streams the audio and transcribes it live, so words appear as they're spoken, not after.

That's the difference between a voice feature that feels like a toy and one shoppers actually use for support or quick reordering.

streamingnot record-then-transcribe

A working agent on day one, full control when you want it

Every agent works out of the box on a platform-managed model — no API key, no model account to set up. When you need a specific model for cost, quality, or compliance reasons, point the agent at your own Bedrock, Anthropic, or OpenAI connection instead, with temperature, max tokens, and prompt caching all configurable per agent.

Switching later is a settings change, not a rebuild.

3bring-your-own model providers, plus platform default

Your brand on the widget, not ours

The chat widget is designed to be embedded directly into your own storefront or product — branded, styled, and deliberately public-facing, with its own rate limits separate from your authenticated API traffic so a spike in chat volume never touches your core platform limits.

Agencies and platforms can ship the same widget, rebranded, inside every client's site without building a chat UI from scratch.

1 script tagto embed a branded agent

Shoppers can show you the problem, not just describe it

A return request, a damaged item, a size question against a photo — shoppers can attach a file directly in the chat, and the agent has it as context for the conversation, no separate upload flow to build.

built inno separate upload flow to build

Know what shoppers are actually asking, and stay in budget

Every agent runs against a usage quota so a runaway conversation loop or a traffic spike can't blow through your budget unnoticed. An insights service tracks what's actually being asked, where the agent succeeds, and where it hands off — so you're improving the agent based on real conversations, not guesswork.

per-agentusage quotas and analytics