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AI CommerceOverview

AI Commerce

AI Commerce is Finqu’s platform for building intelligent merchant experiences, automation, and AI-powered storefronts. As a partner or developer, you can use these building blocks to create support tools, repeatable workflows, background agents, and conversational shopping experiences—all integrated with the same commerce core your APIs and storefronts use.

Who it’s for

  • Partners and agencies building custom solutions or white-label offerings for merchants
  • Developers extending the admin with chat, automation, or reporting
  • Product teams shipping AI-powered features inside apps and integrations

What you can build

CapabilityWhat it enables
Success AgentMerchant-facing chat in the admin, support tools, and guided workflows. Use ask/agent/planning modes, subagents, and custom skills to build smarter admin UIs.
PlaybooksStep-by-step instructions for Workers (each step = a Worker doing a task). Run manually or as bulk actions—repeatable workflows you can ship to merchants.
GuidelinesConsistent agent behavior, brand voice, and guardrails. Customize how agents behave across stores or white-label solutions.
WorkersBackground automation, reporting pipelines, and optimization loops. Use Executor, Planner, and Analyst as building blocks—schedule them, give them custom prompts and tools.
MCP ToolsConnect any MCP server to Finqu (OAuth, bearer, SSE, Streamable HTTP). One integration powers both Workers and the Success Agent.
Storefront MCPAI shopping assistants, conversational storefronts, and multi-channel agents that interact with the store. Expose the store to AI in a secure, standardized way.

How the pieces fit together

  • The Success Agent is the conversational surface merchants use in the admin; it can call Workers and use MCP Tools you configure.
  • Workers (Executor, Planner, Analyst) run on a schedule or on demand. Playbooks define steps that assign tasks to Workers; when the merchant runs a playbook, those steps are carried out. Workers also use MCP Tools for external data and APIs.
  • Guidelines shape how all agents reason and respond, so you can align behavior with your or your merchants’ brand and policies.
  • Storefront MCP is the bridge for building customer-facing AI (assistants, chat, voice) that talks to the store.

You can combine these to build end-to-end flows: for example, an Analyst report feeding a Planner that produces tasks, a playbook whose steps direct the Executor to apply changes, and a Success Agent that lets the merchant inspect or override—all using the same MCP tools and guidelines.

Next steps

  • Success Agent — Build merchant chat and support experiences
  • Playbooks — Define step-by-step workflows for Workers
  • Guidelines — Set rules and tone for agents
  • Workers — Background agents: Executor, Planner, Analyst
  • MCP Tools — Connect external MCP servers
  • Storefront MCP — Build AI-powered storefront experiences