Agentic commerce for Adobe Commerce & Magento

AI agents can't buy from your Adobe Commerce store yet.

We audit your catalog and commerce stack, build standards-aligned product feeds, and prototype secure agent checkout across ACP, UCP and MCP — without replacing your Magento, ERP, PIM or payment setup. For self-hosted Adobe Commerce, Magento and Shopware stores across Europe.

  • Accurate product, price and inventory data for AI discovery
  • A working prototype on your real commerce architecture
  • A fixed-scope roadmap from readiness to production

Runs: UCP-01 · MCP-01 · BOT-01 · LLMS-01 · FEED-01 · SCHEMA-01 — public data only, nothing intrusive

See the 10-day sprint →

17+ years with Magento · Former Klarna Solution Engineer · Enterprise integrations · Performance and security

A new commerce interface

AI is becoming a new storefront. Your existing storefront was not built for it.

Shopping agents need more than pages they can crawl. They need accurate structured catalog data, real-time price and availability, clear merchant policies, and safe operations for cart, checkout and order updates. That becomes difficult quickly in a customised Adobe Commerce stack.

Discovery

Can an agent understand what you actually sell? Products, variants, identifiers, compatibility, media, seller data, policies and availability must be complete, consistent and current.

Transactions

Can it obtain an authoritative commercial result? Cart totals, promotions, tax, fulfilment, customer context and payment state must still come from the systems that run your business.

Control

Can you expose these capabilities safely? Authentication, signatures, idempotency, rate limits, PII boundaries, audit logs and failure handling cannot be an afterthought.

Why Shopify merchants got this for free — and you didn't

Shopify ships agent-readiness as a first-party feature, so its merchants appear in agent results without lifting a finger. Self-hosted Adobe Commerce and Magento stores need a Composer-installed module, a deployment pipeline and a developer who understands the platform's DI and service layer — which is exactly the gap this practice closes.

What the three standards do

UCP (Google, launched at NRF 2026) describes a store's capabilities — discovery, checkout, payments, order management. ACP (OpenAI/Stripe) covers product feeds and agent-initiated checkout. MCP (Anthropic, adopted by Adobe for Commerce) is the real-time data layer agents use to query live catalog and operations.

AI surfaces talk to an agent gateway; feeds, live APIs and checkout events sit in front of Adobe Commerce, which stays connected to PIM, ERP and payments. Your existing systems remain the source of truth — no replatforming.

This is not another generic AI plugin.

Simple demos work on simple stores. Enterprise Magento rarely is simple. B2B pricing, configurable products, ERP inventory, custom promotions, tax, fraud controls and payment gateways require an architecture that respects the system already running the business. We start with your real data flows and business rules — not with a chatbot demo.

Fixed-scope technical engagement

The Agentic Commerce Readiness Sprint

Ten business days. A working proof. A decision-ready production roadmap.

AUD-01 Catalog and data audit
We map products, variants, pricing, inventory, media, seller information and policy data against current agent-commerce requirements.
ARC-01 ACP, UCP and MCP architecture
We define where feeds, live APIs, capability discovery, authentication and event flows belong in your existing stack.
PROTO-01 Working prototype
We prove one critical path on your systems: product discovery, live product lookup, cart creation or checkout session.
SEC-01 Security and observability plan
We define signatures, idempotency, rate limits, PII boundaries, audit logs, retries, monitoring and failure handling.
ROAD-01 Implementation roadmap
You receive prioritised gaps, an architecture diagram, dependencies, estimated effort and a practical route to production.

At the end of the sprint, you know what can ship now, what depends on platform approval, what must change in Magento or connected systems, and what a production implementation will take. We start from an architecture call, public store data and documentation; the prototype uses a test environment or scoped API access — no production write access is needed for the audit.

Request a readiness review

From uncertainty to a working decision in ten business days.

  1. Day 1 Kick-off and system map — goals, architecture, access and success criteria
  2. Days 2–3 Catalog and data audit — product, price, stock, policies and source-of-truth analysis
  3. Days 4–6 Standards mapping and architecture — ACP, UCP, MCP, security and integration boundaries
  4. Days 7–9 Prototype and hardening — one agreed critical path, tests, failure modes and observability
  5. Day 10 Walkthrough and roadmap — findings, demo, decisions, effort and next steps

What does it cost?

The scan is free and the Readiness Sprint starts at €4,500 — every engagement is fixed-scope with the price stated up front. The sprint is billed 50% at start, 50% at handover.

StageWhat you getPriceTimeline
Scan6 automated public checks, plus three engineer-reviewed readiness risks by emailFreeInstant + 2 business days
Readiness SprintCatalog/data audit, ACP/UCP/MCP architecture, working prototype, security & observability plan, production roadmap, executive walkthroughfrom €4,50010 business days
ImplementationUCP/ACP manifest + MCP endpoint, feed enrichment, agent checkout via your existing PSP, bot policy€10,000–€20,000Quoted after the sprint
MonitoringWeekly multi-engine citation and readiness monitoring, drift alerts, quarterly review€2,500–€4,000 / moOngoing

Is your store a fit?

The sprint is built for complex, self-hosted Adobe Commerce and Magento environments — and it is not for everyone.

Good fit

  • Adobe Commerce or Magento Open Source with custom integrations
  • B2B, multi-store, marketplace or complex configurable catalogs
  • ERP, PIM, custom inventory or pricing services
  • Custom checkout, tax, fraud or payment flows
  • A team that needs a credible prototype before committing to production

Not a fit

  • You only need AI-written product descriptions
  • You want a generic chatbot added to the storefront
  • You expect guaranteed placement in a specific AI platform
  • You need a complete implementation for the price of a plug-in

For Adobe Commerce agencies

Add agentic commerce to your offer without building a new practice.

We work white-label or alongside your team. You keep the client relationship; we provide discovery, architecture, prototyping and enablement.

  • Fixed-scope pre-sales and readiness engagements
  • Co-branded or white-label delivery
  • Reusable architecture and implementation assets
  • Technical workshops and handover for your developers
  • Support for difficult catalog, checkout and payment cases

Discuss an agency partnership

One partner can use the same delivery model across multiple Adobe Commerce clients.

Founder-led delivery

Deep commerce engineering, not AI theatre.

Expanding Web is led by Marcin Dancewicz, an Adobe Commerce and Magento architect with more than 17 years of e-commerce engineering experience — Magento Certified Developer Plus. He has led distributed Magento teams of 3–12, delivered PWA and GraphQL storefronts, integrated SAP, Salesforce and custom payment gateways (Adyen, Stripe, Klarna, Bambora, TRX), improved performance, built CI/CD systems and recovered compromised stores.

As a Klarna Solution Engineer in London (2016–2018), he owned Magento integration strategy for Klarna Checkout and Payments. Klarna has since adopted UCP. Expanding Web has operated since 2007 and works remotely with merchants and delivery partners.

Questions merchants actually ask

What is agentic commerce?

Agentic commerce is commerce in which AI agents help users discover, compare and — where supported — execute purchase actions. For a merchant, that requires accurate product data and safe access to real commerce operations, not only a chat interface.

Are ACP, UCP and agent checkout already live?

Yes — the standards and integrations are live and evolving. Access to specific onboarding programmes or in-agent checkout can require platform approval. The sprint separates what you can implement now from what depends on a platform.

Do you guarantee our products will appear in ChatGPT or Gemini?

No. We prepare and validate your data and interfaces, support onboarding and remove technical blockers. Discovery, ranking and programme access remain controlled by the relevant platform, and we say so up front.

What if UCP loses to ACP, or the other way round?

The underlying work pays off regardless of which protocol wins: clean product data, an API-first catalog, feed completeness and a sane bot policy serve every agent surface. Standards mappings are versioned, and the architecture is never bound to a single protocol.

How is this different from SEO?

SEO earns rankings on result pages. Agent readiness gives software agents authoritative data and transactable interfaces: live price and availability, policies, cart and checkout operations. The two overlap in structured data and diverge everywhere money moves.

Do you work with Magento Open Source?

Yes. The approach applies to both Adobe Commerce and Magento Open Source, although the implementation depends on your modules, integrations and checkout architecture. Shopware and custom stacks are handled case by case.

How much does it cost?

The scan is free. Readiness Sprints start at €4,500 for ten business days. Production implementation is typically €10,000–€20,000, quoted after the sprint when the real scope is known. Ongoing monitoring runs €2,500–€4,000 per month.

Will you replace our current checkout?

Usually not. Your commerce platform, payment provider and connected systems remain the source of truth. The goal is to expose authoritative operations safely while preserving the business rules that already run your store.

Do you work with our existing agency — or can our agency resell this?

Yes to both. We work white-label, co-branded or as a specialist subcontractor. Your agency keeps the client relationship; we bring discovery, architecture, prototyping and enablement.

Find out what blocks your store from AI-led commerce.

Send your store URL and a short note. We will return the first three readiness risks and tell you whether the ten-day sprint is a fit.

No generic sales deck. No mailing list unless you explicitly opt in. Scan results are never published.