From Shopify engineering to a conversational commerce agency
Commerce is moving from pages to conversations. Our roadmap follows it — agents that sell, support, and operate the store, engineered with the same production discipline as the storefront.
AI-native builds
Agentic apps, LLM storefront search, AI-assisted support running on live stores today.
- MCP servers exposing commerce systems as scoped tools
- LLM-powered search and merchandising
- AI-assisted support grounded in real order data
Conversational commerce
Buying, reordering, and service completed in chat and voice, wired to real Shopify state.
- Cart and checkout completed inside a conversation
- Reorder and subscription changes by message
- WhatsApp and web chat against one backend
Commerce OS
One operating layer for visibility, control, and execution across the stack.
- A single view across store, ERP, and fulfilment
- Operations executed through governed agents
- The store as one system, not a pile of apps
Autonomy is a design decision, not a default
The reason agentic commerce fails in production is rarely the model. It is unbounded access and no record of what changed.
Scoped, never open-ended
Every agent gets the narrowest tool surface that does the job. No blanket admin credentials, no unbounded write access.
Every write is logged
Anything an agent changes is recorded with the prompt, the tool call, and the result — auditable after the fact, not just at the time.
Humans approve customer-facing actions
Agents draft, suggest, and prepare. A person signs off on anything a customer will see or a ledger will record.
Evaluated before it ships
Agent behaviour is tested against recorded cases the same way application code is. Regressions are caught before the store sees them.
Planning something agentic?
Bring the use case. We will tell you which parts are ready for production today and which are not.