Clients are named here only where they have agreed to be named, and anonymized where they haven't. We describe what we built and what changed — without inventing numbers, quotes or people to make it read better.
Each engagement below is described at the level of detail that client has approved. Some are happy to be named and discussed in general terms; one asked to stay anonymous entirely, so it appears that way. References are available on request.
Inbound dispatch automation for a roadside and towing operator. Calls and messages are answered immediately, the job details are captured in a structured form, and the request lands in dispatch already triaged instead of sitting in a queue.
Voice and messaging agents for after-hours and overflow coverage, wired into the existing dispatch workflow. Routine requests are handled end to end; anything unusual is escalated to a human with the context already attached.
Lead response and qualification for a brokerage team. New inquiries are answered on arrival across text and email, qualified against the criteria the agents actually care about, and routed into the CRM with the conversation history intact.
CRM and pipeline automation for a residential brokerage. Follow-up sequences, stage changes and reminders run from the system of record rather than from individual agents' memory, so nothing quietly goes cold.
Booking and reschedule agents for a fitness operator. Members book, move and cancel sessions in conversation, the calendar stays accurate, and staff stop losing floor time to scheduling admin.
Product and platform engineering with AI workflows built into the core of the system rather than bolted on afterwards — data model, integrations and the automation layer designed together.
Data pipeline and workflow automation for a property-data platform in Europe, working with high-volume records and third-party sources. This client asked not to be named, so we describe the shape of the work only.
Some engagements can't be attributed at all. These are the recurring patterns behind them, described without identifying anyone.
A multi-branch roadside operator was losing overnight jobs to whoever picked up first. An agent that answers instantly, captures the location and vehicle details, and escalates only genuine exceptions turned "we'll call you back in the morning" into a dispatched job.
A Bay Area brokerage team had no shortage of inquiries — just no way to reply while showing property. Automated first response and qualification meant every inquiry got a real answer, and agents spent their calls on people who were actually ready.
A boutique fitness operator was running the schedule out of a phone between classes. Booking and reschedule agents took the back-and-forth off the staff entirely and kept the calendar accurate without anyone maintaining it by hand.
A services business wanted agents on top of a tool with no usable API. The honest answer was that the automation had to wait for an integration layer — so we built it first, then the agents worked as intended instead of half-working forever.
Anyone can write a case study. A case study is a claim about work you can't inspect, for a business you don't run, with numbers you have to take on trust. A working agent is different — you talk to it, try to break it, and judge it yourself in about ninety seconds.
There's a working agent on the home page. Ask it something awkward. Interrupt it. Ask for something it shouldn't do and watch what it does with the escalation. That is the same architecture we deploy for clients.
The free 30-minute audit is the second demonstration. We map one of your real workflows, show you where an agent would sit, and tell you plainly what has to exist around it. You keep the roadmap either way.
For the named engagements above, we can put you in touch with the client directly. That is a stronger proof than any page we could write about ourselves — and it is the reason this page has no invented percentages on it.
Attributed to company and role only, by request.
The calls that used to go to voicemail overnight get answered now. What surprised us was how much of it never needs a person at all — and how clean the handoff is when it does.
Our agents were never going to reply to an inquiry while they were mid-showing. Now every one gets a real answer straight away, and by the time we call, we already know what the person wants.
Scheduling used to happen on someone's phone between classes. It doesn't anymore. The calendar is just right, and nobody is maintaining it.
Thirty minutes, no commitment. We'll map one of your workflows, show you where an agent pays for itself first, and be straight with you about what has to be built around it.
Roadmap delivered · whether or not you build with us