AI Agents That Answer, Book and Act, Live in Weeks
Voice and chat agents that answer, book and act, for clinics, med-spas, restaurants and operations teams.
- Voice agents & AI assistants
- Tool-using & workflow agents
- Integration with your existing systems
- Hosting, monitoring & maintenance
Agents that do the work, not demos that do the talking
Most "AI agent" projects die in one of two places: the demo that never survives contact with real customers, or the production system that nobody maintains after launch. We build for the second week, not the first call.
T&M designs, ships and runs voice and chat agents for businesses where missed conversations cost money: clinics and med-spas losing bookings after hours, restaurants with phones ringing into voicemail, operations teams answering the same forty questions a week. The agent picks up, answers from your actual data, books into your actual calendar, and hands off to a human the moment it should.
You don't have to take our word for any of this. Two of our agents are running publicly right now: VIOLET, a clinic assistant, and BiteBot, a restaurant assistant. Call them, try to confuse them, ask something weird. That's the standard your agent will be built to.
Live Demos
A working AI assistant for clinics — open it in your browser and try it for yourself.
Open VIOLET
A working AI assistant for restaurants — open it in your browser and try it for yourself.
Open BiteBotHow an agent project actually runs
Week one is a scoping call and a written brief: which conversations the agent owns, which it escalates, what "success" measures (calls answered, bookings made, minutes saved). We've run this discovery process across 29+ projects and it's blunt by design. If an agent is the wrong tool for your problem, we say so on that call and you've spent nothing.
Then a fixed-scope build, usually two to four weeks: agent logic, your knowledge base wired in, integrations (calendar, POS, CRM, WhatsApp or phone line), and a test harness of real conversation scenarios it must pass before launch. After go-live we monitor transcripts, patch the gaps real users find, and tune monthly. Agents degrade without this; ours don't, because maintenance is part of the engagement, not an afterthought.
Where agent projects go wrong
An honest note from the build side: the failure mode is almost never the model. It's scope. Agents pitched as "do everything" end up doing nothing reliably. The agents that earn their keep own a narrow, high-volume slice of work, bookings, FAQs, order capture, and refuse everything else loudly. We will push you toward narrow and reliable over impressive and fragile, every time. It's also why we put working demos in public: an agent you can't poke before buying is a promise, not a product.
Straight answers
How long until something is live?
A working pilot typically takes two to four weeks from the scoping call, depending on integrations. We'd rather ship a narrow agent in three weeks than a broad one in three months.
What does it cost?
Pilots are fixed-scope and fixed-price, agreed after the scoping call: no hourly meters. Ongoing hosting and tuning is a small monthly retainer. First-project pricing is deliberately accessible.
Will it work with our phone system / calendar / POS?
Almost certainly. We've integrated agents with standard telephony, Google and Outlook calendars, WhatsApp, and custom backends. If something in your stack genuinely can't be integrated, we'll tell you during scoping, not after invoicing.
What happens when the agent doesn't know the answer?
It says so and routes to a human, by transfer, callback ticket, or message, with the conversation context attached. An agent that bluffs is worse than no agent. Ours are configured to escalate early.
Who owns it after launch?
You do. Code, prompts, data, accounts: all yours. We stay on for maintenance because agents need tuning, but you're never locked in.