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AI Advisory

Agentic Commerce Advisory

Agent Readiness for B2B Commerce

Your next buyer may never see your website.

An AI agent will read your catalog and decide whether you make a buyer's shortlist. That happens in seconds, with no human involved. Most B2B commerce operations fail that test without ever knowing it happened. We find out where you stand, and what to fix first.

Product Data Legibility
Do your specs and attributes survive a machine query, or only read well to people?
Pricing & Availability
Can an agent reach contract pricing, stock position, and lead times without a browser?
Checkout & Approval Path
Can a purchase complete without a human clicking through a flow built for one?
Account & Identity Structure
Can an agent buying for a known customer be recognized and served the right terms?
Agent Surface Visibility
Do you appear at all where AI shopping and procurement agents look for suppliers?
Guardrails & Governance
Which decisions will you let an agent make, and what happens when it gets one wrong?

Three ways commerce operations fail an agent

Invisible: product data that reads well to a person and returns nothing useful to a machine. Unquotable: pricing, availability, and terms locked behind logic an agent cannot reach. Untransactable: a checkout and approval path built entirely around a human clicking through it. Most operations fail on at least two of the three, and almost none of them know which.

Run the free diagnostic

Two weeks to a scored answer and a list of what to fix first.
The assessment is run by agents
Every advisory firm will sell you an AI readiness assessment this year, and most will run it with interviews and a spreadsheet. We point agents at your commerce surface and show you exactly what came back, because that is how your buyers' agents will read you too.
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The offer
Start with a score, then move when it tells you to. Ongoing advisory is $8,500 a month once you have one.
Agent Readiness Snapshot · $9,500 · 2 weeks
Agentic Commerce Blueprint · From $45,000

How the Snapshot works

Agents read your commerce surface

We point an agent at your public catalog, pricing, and checkout path, then capture what it could and could not do. You see the raw output, not a summary of it.

01
We interview the people who own the gaps

Three to five conversations with the people responsible for product data, pricing, and the buying experience. The machine finds the symptom. They explain the cause.

02
You get a scored model and a ranked shortlist

Six domains scored against a defined model with a peer benchmark, plus the five agent use cases worth pursuing first, ranked by value against feasibility.

03
And a 90-day list with names against it

Not a strategy document. A sequenced list of specific fixes, each with an owner beside it and an honest estimate of what it takes.

04

Who This is For

Mid-market B2B manufacturers and distributors who would rather find out now than find out from a lost renewal. This is a fit if you:

  • Sell to buyers whose procurement teams are already piloting AI
  • Have product data living across ERP exports, spreadsheets, and the platform
  • Cannot say what an agent would see if it shopped your catalog today
  • Have been asked about agentic commerce by a board or an executive team
  • Want a scored answer in two weeks, not a six-month strategy engagement

What the Snapshot Delivers

Two weeks, fixed fee, no change orders. Every engagement delivers:

  • Agent readiness score across six domains, with a peer benchmark
  • Raw agent output showing how your commerce surface reads to a machine
  • Top five agent use cases, ranked by value against feasibility
  • A 90-day remediation list with owners and effort estimates
  • A 60-minute executive readout with your leadership team
  • Referral to implementation partners where the work warrants it