Use Case
For service businesses, hospitality, and retail.
Customer-Facing AI Support.
Customers ask around the clock. The reservation change at 11pm. The service appointment status at 7am. The product spec at 2am. Generic chatbots can't answer any of it. Your team shouldn't be staffing 24/7 for repeat questions.
What if you had another employee? One that handles the routine 24/7, queues only the calls that need human judgment, and never makes anything up. Grounded in your actual knowledge.
Handle the 90%.Free your team for what needs judgment.
At 2am or 2pm, the agent answers from your actual docs. Order status. Return policy. Reservation changes. Service appointment confirmations. Product specs. Account details. When it hits a subjective situation that needs human judgment, it queues up the conversation with full context. Your team starts where the AI ended, on the calls that actually need them.
I need to return a custom engraved ring. Your policy says no, but the engraver misspelled my name.
What changes for your team
The same fifty questions, every day, every channel.
Order status, hours, return policy, reservation changes, service appointments, product specs. The agent handles them all from your actual content. Your team stops repeating themselves and starts on the calls that matter.
Wholesale clients calling Sheryl in ops for every spec sheet.
Customers and partners log into a portal grounded in your knowledge. Specs, prices, account history, lead times. Self-serve, 24/7. Sheryl gets her day back.
The 5% of questions that genuinely need human judgment.
When the agent hits a subjective situation, it queues up the full conversation, the relevant policies, and a draft reply. Your team starts where the AI ended, not from scratch.
Another employee. Always on.
Available 24/7. Grounded in what you choose. Connected to your team when judgment is needed. Your team scales in capacity, not headcount, focused on the calls that only humans can handle.
Bring your knowledge.Simply ask.
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