The agent reads each inbound message, identifies the intent, checks your approved business context, uses connected tools, and escalates when a person should decide.
No credit card. No commitment.
Follow one order question through intent, business context, a Shopify lookup, and the grounded response returned to the customer.
Customer
Where is my indigo linen shirt?
Your order W-1842 is in transit. Delivery is expected tomorrow.
A customer types 'do you have rooms for 2 nights next week with a balcony' - not 'rooms'. Most BSP bots match the word 'rooms' and reply with a generic rate list. Waaru's agent understands the underlying intent (availability + duration + preference) and answers correctly the first time.
The agent answers from your Company Brain: your website, product catalog, FAQs, and policies. If the indexed content does not support an answer, the workflow can ask for clarification or escalate instead of guessing.
The agent remembers what was said ten messages back. 'What about the smaller room?' after asking about a suite resolves correctly to the smaller-of-two-rooms context. Memory persists per-contact across sessions too - preferences set in March still apply in May.
When the conversation needs an action - order lookup, slot booking, payment link, refund - the agent calls the matching tool with arguments validated against a JSON schema. Every call is logged; every argument is checked before any external system is touched.
When confidence drops below threshold, the agent escalates to the team inbox with the full transcript, an AI summary, the contact record, and any prior notes. The human picks up at exactly the right point. The customer never repeats themselves.
A software agent that uses a large language model to handle full WhatsApp conversations - understanding intent, answering from your knowledge, taking action via tools, and escalating to humans when needed.
Ready to ship a WhatsApp flow that doesn't break?
Apply for founding access. No credit card. Cancel anytime.