Design the conversation and the work it triggers.
Build an AI agent—called an Oasis inside WWater—to manage a specific customer workflow.
- Visible inputs and results
- Configured rules and permissions
- Clear exception handling
WWater platform
Build, connect, deploy, and improve AI agents that understand customer requests and complete approved work across your business systems.
Execution history and human handoff remain visible across every stage.
Product architecture
Each layer has one job: understand the request, retrieve the context, apply the rules, complete the action, and record what happened.
Build an AI agent—called an Oasis inside WWater—to manage a specific customer workflow.
Match the customer, retrieve current records and prior conversations, and use relevant context.
Maya ChenCustomer matched
98%Create appointments, update approved CRM fields, trigger workflows, and return the result.
Check availabilityCalendar · completed
✓Create appointmentHighLevel · completed
✓Schedule follow-upWaiting for result
···Apply permissions, required information, rules, confirmation, and human approval.
Inspect each request, check, action, result, failure, and handoff.
Use one configured customer operation across available or beta channels.
I need help choosing a service and want to book next week.
I’ll confirm what you need, match your record, then check available times.
Customer matchedCompleted
✓Context retrievedCompleted
✓Information collectedCompleted
✓Business rule checkedCompleted
✓Confirmation receivedCompleted
✓Appointment createdFinal result
✓Private beta
Start with lead qualification, appointment booking, support intake, CRM synchronization, or another defined customer operation.