Agentic commerce strategy
Shopping agents are reaching your catalogue. Decide what deserves investment before the channel decides for you.
Greydock advises brands, retailers, marketplaces and commerce platforms on agentic buying surfaces, MCP strategy, catalogue readiness and the order-flow changes required when the buyer is a machine.
Led by product experience shipping commerce and AI integrations in production.
The core questions
The decisions teams need to make now.
Which surfaces deserve engineering budget this year, and which are demo-ware?
Announcements are cheap; ingestion pipelines, transaction capability and real consumer reach are not. An engagement separates the surfaces that can actually discover your catalogue and complete an order today from those that remain press releases, and maps each against your channel mix and customer ownership position.
What does the catalogue need to look like before an agent can buy from it?
Agents are unforgiving about product data. Identifiers, variant structure, attribute completeness, feed freshness, pricing and promotion representation, and stock accuracy determine whether an agent can find, compare and select your products. The output is a concrete gap list: what to fix in the catalogue and feeds, what schema repair is needed, and in what order.
Where does the order flow break when the buyer is a machine?
Checkout, payment, address validation, promotions, part shipments, delivery promises and returns were all designed for a human on a screen. Walking each step the way an agent hits it exposes where the flow fails, where the customer relationship is ceded to the channel, and what service and returns handling need to change.
Should we build an MCP server, adopt someone else’s, integrate through a platform, or wait?
The right answer depends on channel mix, catalogue readiness, engineering capacity, platform relationships and how much of the customer relationship you are willing to intermediate. The engagement ends in a build, adopt, partner or wait recommendation you can put in front of your engineers and your board.
Working across multiple commerce surfaces provides a practical view of the implementation differences, readiness requirements and operational constraints that are invisible in a demo.
The engagement
A focused route to a decision.
Agentic Commerce Readiness Assessment
A focused assessment of which surfaces matter, what your catalogue and order flow need first, and whether to build now, partner or wait.
- Surface and channel prioritisation
- Catalogue, feed and schema readiness
- Identity, pricing, promotion and variant assessment
- Cart, checkout, payment, order and return-flow implications
- MCP, platform, partner or build decision
- Integration and operational risk map
- Recommended sequence of investment
- Written recommendation and executive readout
Broader engagements
Agentic commerce is one wedge of a wider practice.
Greydock also runs AI Product Strategy Sprints, leads pilots and provides fractional product leadership for founder-led and venture-backed companies.