AI agents that talk, transfer, validate, and confirm inside WhatsApp
Start with one AI receptionist, transfer to a booking agent, validate live availability through tools like Calendly, confirm the next free slot, and return the customer to reception without breaking the conversation.
Give every assistant a clear business identity.
Define who the assistant is, what role it owns, which business unit it represents, and who should own the fallback when the workflow needs another operator.
Control how the assistant speaks, reacts, and escalates.
Tune tone, empathy, brevity, and brand voice so assistants do not feel generic. Each assistant can respond differently depending on the workflow it owns.
Turn conversation outcomes into real business actions.
The Action Assistant can close conversations, assign to agents, update lifecycle stage, group and custom fields, and write back contact-field changes while the conversation is still live.
Connect assistants to multiple 3rd-party apps through BizwaAI Tools.
Use approved tools to validate schedules, update CRMs, push events, notify internal teams, or call custom APIs before the assistant responds back in chat.
Feed assistants from one repository of websites, docs, PDFs, and CSVs.
Store business knowledge once, sync it into the repository, and let multiple assistants access the same grounded context instead of duplicating answers across disconnected bots.
The AI checks real systems before it commits.
Visitors should never get promised something that is already gone. BizwaChat AI can check calendars, CRMs, or internal tools first, then reply with the option that is actually available.
- Checks live availability before confirming a slot, order, or callback
- Offers the next best option instantly when the first choice fails
- Confirms the final outcome in the same WhatsApp conversation
- Keeps booking and customer records updated after the action is done
When a human or another AI should take over, the context goes with them.
The handoff should feel natural to the customer. One assistant can qualify the conversation, then pass it to the right human or specialist AI with the details already attached.
- Customers do not need to repeat their problem, branch count, budget, or goal
- The next human or AI joins with the right context already in hand
- Handoffs happen only when the conversation needs a specialist or approval
- The thread stays continuous, so the experience still feels like one conversation
Frequently Asked Questions
Everything you need to know about BizwaChat AI Engine
BizwaChat AI Engine is built around compiled AI personal assistants, governed action policies, knowledge repositories, and a tool execution layer. Instead of just answering messages, it can qualify leads, update contact data, change lifecycle stages, call external tools, and route conversations to the right assistant or human agent based on behavior.
Yes. The AI Assistant runtime supports agent handoff with transfer context, active assistant tracking, and conversation state changes. That means one assistant can qualify the lead, another assistant can continue with a specialist workflow, and a human agent can still be pulled in when the policy requires it.
The current runtime supports conversation closure, assignment to staff or another assistant, contact field updates, and lifecycle-stage updates. These actions are policy driven, so the assistant does not just talk about next steps — it can actually trigger them when the conversation meets the right conditions.
Yes. Personal assistants can attach shared knowledge source repository items, sync them into vector stores, and track sync health over time. That allows the engine to answer with tenant-specific context while keeping training and document governance separate from day-to-day conversation execution.
Yes. The assistant module stores runtime logs, sync logs, closure logs, and tool run histories. Teams can inspect what assistant responded, what tools were used, what actions were executed, and whether a handoff or close event happened.
AI Engine rollout
Launch AI agents that can talk, transfer, and execute inside WhatsApp
Bring receptionist AI, specialist agents, tool-connected execution, and context-preserved handoff into one production-ready workflow.