Inbound messages answered with your real order and account context, and the edge cases handed to a person
An agent that reads what a customer wrote, looks up the order, the appointment or the account in the systems you already run, drafts the reply, and escalates anything it should not decide on its own. It works on web chat, email and messaging, and it stops where you tell it to.
What we build
- Triage of inbound messages by intent and urgency
- Answers drawn from your own FAQs, policies and product data, not from the open internet
- Live lookups against your CRM, scheduling or order system before a reply is drafted
- A human handoff with the full context attached, so nobody asks the customer to repeat themselves
What you keep
- Deployment into your environment, on infrastructure you control
- The knowledge base, built from your material and documented
- Escalation rules written down and tested
- Admin training, the conversation-flow documentation and a post-launch support period
Where it shows up
- Trades and home services
- After-hours intake that books the callback, captures the address and the problem, and flags the emergencies
- Professional services
- Client questions answered from the engagement letter and the file, with anything sensitive routed to the person on the account
- Churches and nonprofits
- Event, giving and volunteer questions answered from your own calendar and pages, with pastoral requests handed to a person
Try a small version
A working example running in your browser. The real thing runs against your systems, on your infrastructure.
Customer Support Bot
Offline
👋 Hi there! I'm here to help with any questions you have. Feel free to ask me about orders, shipping, returns, products, or anything else! You can also ask to speak with a person if you prefer.
Or try one of these:
Guardrails
We treat an agent that can act as a production system, because it is one. Every agent we deploy has these four things.
- Defined task boundaries
An agent does the job it was built for and nothing adjacent. The boundary is written down before it runs.
- An audit log
Every action the agent took, with what it saw and what it decided, in a log you can read.
- A human approval step
Anything that touches money or customer records waits for a person to say yes.
- A rollback path
If it goes wrong, there is a known way back, tested before launch, not improvised after.