How it works

From signup to shipped outcomes in a clear, controlled workflow.

Step 1

Launch your AI Assistant

Create a role-based AI Assistant, define behaviour, and connect channels your team already uses.

Step 2

Assign tasks and goals

Create tasks with ownership, expected outcome, ETA, and live progress so everyone sees what’s happening.

Step 3

Execute with guardrails

Run work with monitoring, health checks, and rollback safety so execution stays fast and controlled.

Integrations

Live channels and action integrations your assistants can work with.

WhatsAppWhatsApp DiscordDiscord InstagramInstagram TikTokTikTok SlackSlack TelegramTelegram AmazonAmazon ShopifyShopify Uber EatsUber Eats TrainlineTrainline OpenTableOpenTable 🚕 Local Taxi Home AssistantHome Assistant

What happens behind the scenes

Task orchestration

Tasks are tracked with status, progress, heartbeat, and ETA. You can spot blockers before they become delays.

Bot health + validation

Models and keys are validated before activation, with clear health states (healthy, slow, stalled, error).

Audit + change safety

Critical actions are tracked, and restore points help you roll back quickly if needed.

Staged rollout

Run internal hub testing, push to beta users, then go fully live once quality is proven.

Typical delivery loop

  1. Define a task with acceptance criteria
  2. Assign to assistant/bot role
  3. Watch live updates on dashboard
  4. Review output + approve implementation
  5. Deploy safely with rollback available

Want to see this in action?

Try the demo flow, then pick your rollout plan.

Try Demo View Plans