Agent readiness

Be found and trusted by agents.

Agent readiness is making your business discoverable, legible, and safe for AI agents to act on. It is the practical on-ramp to the agent-ready business layer: an honest audit of how an agent sees you today, and the steps to close the gap.

01 / The problem

An agent cannot act on what it cannot read.

When a customer's AI agent goes looking for what you offer, it does not read your brochure. It looks for a structured, current answer, and if it cannot find one, you are simply not in the set it considers.

Agent readiness is the honest first question: how legible is your business to an agent right now, and what is the shortest path to being discoverable, trustworthy, and safe to act on.

02 / The approach

Audit, structure, expose, govern.

01
Audit
Assess how discoverable and legible your business is to AI agents today, and where the gaps are.
02
Structure the record
Pull the scattered knowledge into one current, structured record an agent can actually read.
03
Expose on open standards
Make the record reachable on the open standards agents already use, such as the Model Context Protocol and structured data.
04
Govern the actions
Add the confirm-step, access control, and audit trail so an agent can act with permission, safely.
03 / Why now

Discovery is moving to agents.

The shift
Being found is becoming being read.
As customers let AI agents do the finding and comparing, a business an agent cannot read is invisible to it. Agent readiness is the new being-found.
The on-ramp
Useful before the layer.
Readiness work pays off on day one and sets up the full agent-ready business layer, so nothing is wasted.
Open standards
Built on what is settling.
We expose the record on open standards like the Model Context Protocol, so you are not locked to any one vendor.
Low regret
Start small, compound later.
An audit and a structured record are useful immediately and become the foundation everything else builds on.
04 / Where it leads

The on-ramp to the business layer.

Agent readiness is deliberately the small, honest first step. It tells you where you stand and gives you a structured record an agent can read, which is exactly the foundation the agent-ready business layer is built on.

Capability, not a score to game: the assessment is real, the roadmap is yours, and the work compounds into governance, automation, and discovery.

05 / Questions

Common questions.

What is agent readiness?

It is making your business discoverable, legible, current, and safe for AI agents to act on. It starts with an audit of how agents see you today and a roadmap to close the gap.

How is it different from the agent-ready business layer?

Agent readiness is the on-ramp: the assessment and first structured record. The agent-ready business layer is the full governed system it leads into. You can start with readiness and grow into the layer.

Why does being legible to agents matter?

Because customers increasingly let AI agents find and compare options for them. If an agent cannot read your business, you are not in the set it considers, however good your website looks to a human.

What standards do you build on?

Open standards that agents already use, such as the Model Context Protocol and structured data, so the record is portable and you are not locked to a single vendor.

Is this useful for a small business?

Yes. The audit and a structured record are useful immediately, at any size, and they become the foundation for governance and automation later. It is a low-regret place to start.

Next

See how an agent reads you.

Not sure how ready you are? Start with an honest audit and a roadmap. Real reply, no funnel.