Teach it your business — your products, your policies, your tone. Let it handle customer conversations, take action when needed, and pass to your team at the right moment. No coding required.
Think of it like onboarding a new team member. You tell it who it is, how it should talk to people, what topics it handles, and what it should never touch. It follows your rules — every single time.
Upload your documents, policies, product info, FAQs — anything someone might ask about. Your AI answers only from what you've given it. No made-up answers, no generic guesses.
Your AI doesn't just answer and wait. It takes real actions based on what you allow — and when something needs a human, it hands off the full conversation so nobody has to start over.
AI Studio has a built-in playground where you can have a real conversation with your agent and see exactly how it behaves. Fix anything that's off, then go live with confidence.
Add your products, policies, and tone. Pick which actions your AI can take. Done in minutes, no technical knowledge needed.
Have a real conversation with your AI. Ask what a customer would ask. See how it responds — and adjust anything that feels off.
Happy with how it works? One click and it's live on WhatsApp, Instagram, or your website. No engineers, no deployment process.
See what customers ask, spot gaps, and update your AI anytime. The more you use it, the sharper it gets.
Agents configured in AI Studio go live in bitChat with knowledge, action boundaries, and handoff rules already defined — across WhatsApp, widget, Instagram, and Facebook.
Learn more →Tags and signals from deployed agents feed segmentation and lifecycle campaigns — so agent behavior improves both service and marketing.
Learn more →Commerce agents built in AI Studio handle discovery, recommendations, and order capture — connected to live catalog and customer data.
Learn more →See how agents configured in AI Studio produce better resolution quality, cleaner handoffs, and smarter escalation in real customer interactions.
Learn more →Generic AI tools give you a chat box and wish you luck. AI Studio is built for commerce teams who need their AI to actually work — with your products, your rules, and a real safety net when things get complicated.
| Capability | Without AI Studio | AI Studio |
|---|---|---|
| Knows your business | Gives generic answers. It does not understand your products, policies, or how your business operates. | Connects to your product catalog, business data, and knowledge base so responses stay accurate, current, and grounded in your business context. |
| Train before launch | You only discover gaps after customers start asking real questions. | Use the built in AI Playground to test real conversations, refine instructions, and train responses until they feel right before going live. |
| Improve over time | Changing behavior often means rewriting prompts or starting over. | Update products, policies, workflows, or rules anytime. Changes go live immediately and improve future conversations. |
| Human handoff | No smooth way to bring in a human. Customers often have to repeat themselves. | When your team steps in, they get the full conversation history and context. No information is lost. |
| Takes action | Can answer questions, but cannot actually do anything. | Goes beyond chat. It checks order status, recommends products, creates draft orders, and triggers actions directly inside the conversation. |
AI Studio is the place where you build, configure, test, and deploy AI agents for your business. It is not a prompt box. It is a full control environment — you connect knowledge, define what actions the agent is allowed to take, set guardrails and escalation rules, test behavior in a simulation environment, and deploy when the agent is ready. The goal is operational confidence, not just a fast launch.
A prompt generates text. An AI agent takes action. In AI Studio, you configure agents that can check order status, trigger workflows, route conversations, escalate to the right human with context attached, and follow escalation logic you define — not just answer questions from a script. The difference is in the actions, the guardrails, and the operational logic behind the reply.
You define the knowledge base the agent works from, the actions it is allowed to take, the guardrails that keep it on-brand and on-policy, and the exact escalation conditions that send a conversation to a human. You also set what context and summary travel with the handoff. AI Studio is designed so non-engineering teams can control agent behavior without writing code.
AI Studio includes a simulation environment where you can run test conversations, check how the agent uses its knowledge base, validate that escalation triggers fire correctly, and see how handoff context is formatted. You test against your actual configuration — not a generic demo mode — before any live customer traffic touches the agent.
Yes. Post-launch improvement is part of how AI Studio is designed to be used. You can review conversation logs, identify where the agent got things wrong, update the knowledge base or escalation rules, and re-test without redeploying from scratch. Agents are not a launch-and-forget configuration — they get better as you iterate.
Design AI agents that understand your business, follow your rules, and take action across real customer conversations.