Give your customers an AI assistant on WhatsApp
Your business or agency builds and manages the agent in IMFA. Your customers use the finished WhatsApp assistant to ask about services, pricing, availability, bookings, and support. They never see or operate the Agent Builder.
Built for customer-facing businesses
A WhatsApp AI agent is a ready assistant for your customers
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The WhatsApp AI agent is the customer-facing assistant your business publishes. It answers questions about your services, products, policies, availability, or support using the instructions and knowledge your team approves. It does not build or configure another agent.
Your business, agency, or implementation partner creates and manages the agent in IMFA. Your customers only interact with the finished assistant through WhatsApp under your business identity. The same managed knowledge and behavior can also power your website and other supported customer channels.
Everything your customer-facing WhatsApp assistant needs
Your team controls the agent in IMFA. Customers receive a ready WhatsApp experience focused on helpful answers, qualified requests, and clear next steps.
Answer questions about your services
Use approved business knowledge
Capture qualified customer requests
Keep replies within your rules
Test before customers see changes
Serve customers across channels
How to launch a WhatsApp assistant for your customers
Your team prepares and verifies the agent first. Customers interact only with the finished assistant after you publish and connect it to WhatsApp.
- 01
Define the customer service job
Tell the Agent Builder about your business, services, audience, common questions, tone, boundaries, information to collect, and the next actions customers should take.
- 02
Add your knowledge and test replies
Add approved service information, review the generated instructions, and test the assistant with the same questions a real customer would send on WhatsApp.
- 03
Publish for customers on WhatsApp
Connect the approved agent under your business identity, review customer sessions and qualified requests, then improve weak answers in a private draft before publishing an update.
Choose the right AI model for your chatbot
Power your chatbot with managed models from OpenAI, Claude, Gemini, Kimi, or DeepSeek. Switch models as your support, sales, or customer experience needs evolve.
- OpenAI
- Claude
- Gemini
- Kimi
- DeepSeek
- More models soon
A managed customer assistant vs a manual WhatsApp bot
Both approaches can serve customers. The difference is whether your team wants to build every technical layer or manage the finished customer experience through one product.
A WhatsApp connection is not the complete assistant
Separate customer bots create duplicated work
IMFA separates management from customer use
One customer assistant across WhatsApp and every key surface
Customers can reach your finished assistant wherever they already communicate with your business, while your team manages one approved configuration in IMFA.
Website chatbot
Telegram and Discord
Voice and custom API
Simple, clear plans
Start free, move to Pro for more capacity and model control, or choose a Custom plan shaped around your needs.
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Standard
For building and testing agents with a light weekly workload.
- Build and publish AI agents
- 5 included credits each week
- Default AI models
Pro
For active agents that need more knowledge, model control, and capacity.
- Everything in Standard
- Remove the IMFA Agents watermark from chatbots
- 100 included credits each month
- Add any website to your agent's knowledge
- Custom AI models
- Purchase as many credits as you need, with no expiration
Custom Solutions
Custom solutions designed around your business needs.
- Custom AI agents and software solutions
- Strategy and scope built around your goals
- Tailored workflows and integrations
- Hands-on development, launch, and support
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Create and manage chatbots from your coding tools
Connect the IMFA MCP server to Codex, Claude Code, Cursor, or VS Code. Create, configure, inspect, and publish managed chatbots without leaving your development workflow.
Frequently asked questions about WhatsApp AI agents
Clear answers about who manages the agent, who uses the assistant, and how it serves your customers on WhatsApp.
[01]Who builds the agent, and who uses the WhatsApp assistant?
Your business, agency, or implementation partner builds and manages the agent in IMFA. Your customers use the finished WhatsApp assistant to ask about your services, products, policies, bookings, sales, or support. Customers do not build or configure the agent.
[02]Can my business create a WhatsApp AI agent without coding?
Yes. Your team can create and configure the agent through conversation and simple controls, test it as a customer, and connect the published assistant to WhatsApp. Developers are only needed for custom server integrations through the REST API.
[03]Can the WhatsApp agent answer from my documents?
Yes. Add supported documents, spreadsheets, text, or public webpages as RAG knowledge. The agent retrieves relevant context while treating retrieved content as untrusted data rather than new system instructions.
[04]Can the same agent work on WhatsApp and my website?
Yes. WhatsApp and the website chatbot can use the same published IMFA agent, including its instructions, knowledge, model, skills, and behavior. This reduces duplicated configuration and inconsistent answers.
[05]Can a WhatsApp AI assistant capture leads?
Yes. The agent can save contact details a customer voluntarily shares, along with a short conversation summary, so your team can understand the request and follow up appropriately.
[06]Do I still need a valid WhatsApp channel account?
Yes. IMFA manages the AI agent, but connecting and operating a WhatsApp channel still depends on valid channel credentials, provider availability, and compliance with the applicable WhatsApp and Meta policies.
[07]How do updates reach the WhatsApp agent?
Changes remain in a draft while you test them. After you explicitly publish the new version, connected channels use the updated agent configuration. This keeps unapproved edits away from customer conversations.
