FLAGSHIP 02
An AI agent just read your product page and moved on.
It could not parse your attributes, your stock, or your terms, so it recommended a competitor it could. That traffic never shows up as a lost sale, because it never became a visit.
WHAT WE'D ACTUALLY BUILD
In plain terms: we make your product data complete and machine-readable, then publish it so AI shopping assistants can find, compare, and recommend your products instead of skipping past them.
THE PROBLEM
Why this is broken today
Your catalog, pricing, and checkout assume a human with a cursor. Agentic buyers need structured, machine-legible commerce surfaces.
Agent-ready commerce means a non-human buyer can discover, compare, and transact with you without a browser UI. Catalog structure, price truth, and a documented transaction path become revenue infrastructure rather than hygiene work.
Copy written for shoppers
Attributes structured for comparison
Scraped by whoever shows up
Published feeds and documented APIs
Bot traffic filtered out
Agent traffic segmented and measured
UI-only checkout
Agent-accessible checkout with policy
A CROWDED SHELF, WHERE WE SIT
Everyone is selling an agent-readiness checklist. We ship the catalog fix.
Agentic commerce readiness became a category in 2026, and the market split into free scorecards on one end and 90-day enterprise reviews on the other. We deliberately sit in neither, and we say plainly where we are the wrong call.
Free readiness scorecards
Useful for a first temperature read. They stop at a score, no attribute schema, no endpoints, no owner.
Enterprise commerce consultancies
Structured 90-day reviews at six figures, sized for enterprise catalog estates. If that's you, take it.
Where we're sharper
Product-data and catalog legibility for agent buyers on live mid-market storefronts, the same architecture running in production behind our gaming and esports work.
The proof, not the pitch
A live youth esports franchise (name withheld) runs this signal-to-system architecture, returning roughly nine admin hours a week to staff.
Market landscape as observed in 2026. We update this when it changes.
WHAT YOU GET
Outcomes, not deliverable lists.
THE ARC
Four phases. 30–60 days.
Define
Signal inventory, success metrics, and constraints.
Design
Architecture, agent graph, and evaluation plan.
Build
Production deployment with observability from day one.
Measure
Outcome reporting against the metrics we agreed.
PACKAGES
Entry points and pricing
Most engagements begin with the Agent-Ready Commerce Readiness Audit, Scores catalog structure, data quality, and agent accessibility across five dimensions.
START HERE
Readiness Audit
Catalog, data, and agent-accessibility scoring.
$3,500 fixed
NEXT
Agentic Workflow Build
Production agent workflow across commerce systems.
from $8,000
NEXT
Transformation Blueprint
Agent-ready commerce architecture end to end.
$12,000–$18,000 fixed
NEXT
Managed AI Operations
Run, evaluate, and improve deployed agents.
$1,500–$4,500/month
PROOF
Agent-Ready Commerce engagements, written up in full.
Unnamed client, mid-market DTC brand · E-commerce Brands
A catalog graded the way an agent reads it, fixed revenue-first
A DTC brand with a large SKU count had a catalog written for human browsers. We scored every sellable SKU against the Agent Readiness Ladder and fixed attribute coverage on the products carrying the revenue first.
Read the full case study →Unnamed client, B2B industrial distributor · E-commerce Brands
Compatibility data structured so an agent can answer 'will this fit?'
A B2B distributor's buyers were starting to arrive through AI assistants asking compatibility and lead-time questions the catalog could not answer. We made the fitment and availability data machine-readable and exposed it through a governed interface.
Read the full case study →9 hrs/week
In production today
Admin time returned to staff in a live community-to-CRM build.
40+ products
Catalog records restructured so shopping agents can read specs, stock, and terms.
Evaluated before launch
Nothing goes live until it clears a documented eval threshold on your own data.
You own it
Code, data, connectors, and runbooks stay in your accounts after handover.
NEXT STEP
Ready to scope Agent-Ready Commerce?
Bring your systems and constraints. We'll tell you in 20 minutes whether this applies.