We design, build, and operate the layer AI agents use to call your product — opening your business to the new era of customers.
More and more interactions with your product aren't initiated by a person, but by an agent acting on their behalf. These are the two worlds already coexisting.
People browse your product. They click, read, compare, and decide whether to use you.
Their AI agent reaches you instead — and only if your product is ready to be found, understood, and used by one.
We build and operate the agent-ready layer ourselves — for clients, and for our own product. Behind it sits a team with years of building and operating real digital products in production, and a first-hand grasp of how an agent expects to find them, understand them, and use them.
A fixed-scope readiness audit opens every engagement. We inventory what your product already does, identify the gaps that keep agents out, and agree on what is worth exposing — before a single line of code is written.
Know what to expose, and why.
Next step:We design and build the layer agents need to understand and operate your product. It ships to production working, not as a demo — with what you need to see what agents do with it from day one.
Built for production, not for demos.
Next step:Once the layer is live, we stay on the watch. We keep the services running for the agents already calling them — watching what they do, what fails, and how real usage evolves when your users reach you through an agent.
Get it live. Keep it live.
The audit and the implementation are the core: they diagnose and build the layer through which agents call your product. Web AI Readiness is an optional add-on that gets your public site discovered.
We diagnose how ready your product is to be found, understood, and used by AI agents — what they would find, what they could do, and where they would fail.
We build the layer that makes your product usable by AI agents and run it in production with you. Capabilities designed, secured, and observed from day one.
We make your public site discoverable and citable by LLMs and answer engines — where agents first learn you exist, before they can call you.
We don't predict the future. But a few things about where digital products are heading already look clear — and they shape how we build.
Every time an AI assistant books a trip, hires a service or decides something on behalf of its user, it will do so by invoking capabilities of digital products. The ones not ready for that traffic will be left out of the flow. It starts now, not when it's too late.
What will set a digital product apart in the next decade isn't just what it does — it's how richly and clearly it exposes its capabilities. The better you expose them, the more customers can reach in and invoke them — humans, agents, partners, systems. That well-structured set of capabilities is the moat that defends your business.
In the 2000s, not having a website meant being invisible. In the next decade, not being callable by agents will mean the same. The infrastructure changes; the market logic doesn't.
Direct answers to the questions we hear before every engagement.
A product is agent-ready when an AI agent can discover it, understand what it does, and use its services securely and optimally. In practice, this means an agent-readable definition of capabilities—parameters, auth, error states, effects—and the validation, observability, and operations necessary to bring agent traffic into production.
Related terms:Agent-readyAgentAI Readiness
Tell us what your product does. We’ll map which capabilities to expose first and how far we take it together.
Or write to contact@anselis.com