Distributed readiness service
The institution can offer assessment and feed optimization across its merchant base. Each merchant still provides its catalog and may need a light setup path.
Help your merchant clients make their offers discoverable, understandable and usable in AI-assisted commerce.
As customers discover and compare products in AI-assisted channels, merchants need product data that those channels can interpret and a clear path from recommendation to purchase.
Banks, PSPs and aggregators can distribute a readiness service across their merchant base, then support selected merchants with deeper discovery, agent and commerce integrations.
The exact scope depends on the institution's distribution model, each merchant's catalog and the channels and transactions the service needs to support.
Start with the merchant catalog. Assess gaps in completeness, taxonomy and structured data, then identify the required improvements.
Clean and enrich product titles, descriptions, attributes, categories, images and structured data for AI-assisted discovery.
Help customers search, compare and understand products through experiences grounded in the merchant's catalog and approved content.
Publish optimized product information in the formats selected AI assistants and commerce channels can interpret.
Expose approved catalog and merchant knowledge through the interfaces selected for the implementation, including MCP or A2A where appropriate.
For dedicated merchant implementations, connect availability, cart, checkout and payment handoff to the merchant's existing systems, using UCP where appropriate.
An institution can distribute readiness across its merchant base and use the same program to identify merchants that need a dedicated implementation.
Set the merchant segment, distribution model, channels, responsibilities and route into deeper implementation.
Collect the feed or catalog input and the approved product information needed for assessment.
Identify product-data gaps that limit interpretation, matching and discovery in AI-assisted channels.
Improve taxonomy, titles, descriptions, attributes, images and structured data for the selected channels.
Connect product discovery, Shopping Assistant experiences and the required agent interfaces.
Where the merchant needs it, integrate cart, checkout and payment handoff through a dedicated implementation.
The institution can offer assessment and feed optimization across its merchant base. Each merchant still provides its catalog and may need a light setup path.
Cart, checkout and payment capabilities depend on the merchant's platform, data and transaction systems and require a separately scoped integration.
This offer addresses merchant product-data quality and product visibility. The standalone GEO diagnostic assesses how AI answers surface a company and its services.
AIC Commerce Core and its Connector support commerce-specific capabilities. AIConsole is a separate enabling platform used for enterprise agents when appropriate.
Explore a packaged credit offer, our delivery model and an optional enterprise-agent platform.
See how Discovery, implementation and enterprise enablement move an opportunity into delivery.
See how we workExplore our packaged offer for controlled business credit decision preparation.
Explore Credit ProcessSee the enterprise-agent platform we may use when it is the appropriate implementation route.
Explore AIConsoleA bank, PSP or aggregator can offer an AI-readiness assessment and AI Feed Optimization across its merchant base. The program can also identify merchants that need dedicated product discovery, Shopping Assistant or commerce integration work.
The readiness path can start with a catalog feed and may use a bank-branded portal or plugin. The merchant must still provide and maintain the catalog. Cart, checkout and payment capabilities require a dedicated integration with the merchant's systems.
The GEO diagnostic focuses on whether AI answers surface a company and its services. Agentic Commerce focuses on merchant product-data quality, product discovery and the path from an offer to a transaction.
We scope the implementation around the merchant's existing catalog, commerce, identity and payment systems. Discovery determines the required interfaces and integration work.
The implementation can use MCP for tool access, UCP for commerce interoperability and A2A for agent-to-agent exchange, depending on the channel and purchase path.
AIC Commerce Core is the reusable foundation for commerce-specific discovery, agent and transaction capabilities. AIConsole is a separate platform for enterprise agents and can be considered where that architecture fits; it is not a required foundation for every Agentic Commerce rollout.
Bring the target merchant segment, catalog source, target channels and transaction scope. We can map the readiness service and define when a merchant needs a dedicated implementation.