Readyly: the city hall that never sleeps.

The resident on the other end of the line doesn't care that it's the middle of the night, or that the parks department went home at five. They care that the streetlight on their corner has been dark for a week, that they've called twice, and that both times they hit a menu, then hold music, then nothing. This is the ordinary friction of local government - not a scandal, just a slow leak of trust, one unanswered call at a time.

Readyly built its company around that exact moment. On the surface it looks like every other AI vendor crowding into 2026's most fashionable category. Look closer and the pitch is stubbornly unglamorous: answer the resident, then do the thing. Not "here's a link to the permit page" but the permit, filed. Not "your request is important to us" but a 311 work order, logged and routed. The difference between a chatbot and what Readyly calls an AI Agent is the difference between a receptionist who takes a message and a colleague who handles it.

The company was founded in 2021 and is led by CEO Kris Sandor, whose resume reads like a tour of systems that touch millions of ordinary people: Palantir, McKinsey, Head of Product at SmartAsset, and a stint running Citi Bike. That last one matters. Citi Bike is infrastructure disguised as a convenience - thousands of small, unglamorous interactions that either work or ruin someone's morning. Government service is the same problem at civic scale, and Readyly is the bet that agentic AI can finally close the gap.

What makes the approach interesting isn't the model behind it - everyone has models now. It's the plumbing. Readyly's agents come pre-trained on 100+ common resident workflows: applications, grants, complaints, permit statuses, inspections, code enforcement. They plug into 40+ platforms, so the AI isn't a shiny island bolted onto a website - it reaches into the tools a city already runs. And they operate across every channel a resident might actually use, carrying context from a text message into a phone call without making anyone repeat themselves.

Most vendors, handed two thousand municipal PDFs and a legacy 311 work-order system, would ask for a data warehouse and a six-month runway.

Readyly's Arcadia deployment took the mess as the raw material. It fed the documents and the work-order system into a single AI agent network, and residents got something rare: a way to ask a question in plain language and receive an answer that actually reflects how their city works. The chaos wasn't the obstacle. It was the product.

That's the quiet thesis running through Readyly's customer list - Mount Vernon, Woodstock, Los Altos Hills, Sudbury, North Andover, Lawrence, Kansas. These aren't the megacities that headline AI keynotes. They're the small and mid-sized governments that carry the same resident expectations with a fraction of the staff. For them, an agent that resolves the routine 80% isn't a luxury. It's the afternoon back.