Our agentic commerce services
MCP-ready payment infrastructure
Payment providers and merchants need MCP layers to make services available to AI agents. We design and build MCP servers that make payment products and APIs accessible via the Model Context Protocol, the emerging standard for AI agent system integration.
Autonomous AI purchasing agents
We build AI agents that can purchase, compare, and negotiate on behalf of consumers or businesses. This includes agent development and integrations from product discovery via structured feeds to transaction execution via existing commerce and payment platforms.
Agent-driven checkout flows
Traditional checkout processes rely on visual interfaces and human interaction. Agentic checkout requires structured API contracts, standardised product attributes, and direct transaction paths without UI dependencies. We help make existing commerce stacks ready for agent-driven checkout.
Agent-to-payment security
When AI agents initiate autonomous payments, authentication and authorisation become critical. We design comprehensive security layers including identity verification for agents, transaction limits, audit trails, and human oversight mechanisms.
Commerce platform readiness assessment
We evaluate your current commerce environment's preparedness for agent traffic, examining product data structure, API documentation, AI discoverability, and backend adaptability for agentic use cases, providing clear implementation roadmaps.
Let's discuss your agentic commerce needs
Our approach to agentic commerce
Agentic commerce represents the frontier of what's currently possible, but merchants and payment providers unprepared for agent-driven transactions risk becoming invisible in this emerging channel. We maintain transparency about what's live in production, what's proven at PoC level, and what's emerging, building on actual implementation experience.
From static shop to machine-readable ecosystem
Most commerce platforms serve human visitors through visual navigation, clickable interfaces, and search bars. AI agents access catalogues via APIs, read structured data, and call transaction endpoints. We identify gaps between current platform capabilities and agent requirements, then address them through systematic architectural upgrades.
Production over demonstration
The field contains many agentic commerce demonstrations, but we focus on production implementations. Our MCP implementation for Worldline is live and operational: two MCP servers announced in January 2026, making them one of the first major payment providers globally accessible to AI agent developers through MCP.
Security as foundation, not afterthought
Autonomous transactions require robust security architecture. We design agent identity models, transaction limits, and human oversight mechanisms from project inception, ensuring every agentic commerce implementation meets compliance and security requirements.
Why work with iO for agentic commerce?
Live production experience, not theoretical exploration
Our MCP implementation for Worldline operates in production: two servers announced in January 2026, establishing them as one of the first major European payment providers directly accessible to AI agents. We discuss agentic commerce from proven implementation experience.
Transparent about emerging technology
Agentic commerce is an evolving domain. We clearly distinguish what's production-ready now, what's at PoC level, and what becomes mainstream in 12-18 months. This transparency helps you make informed investment decisions and avoid premature technology adoption.
Integrated technology and commerce expertise
Agentic commerce requires both deep AI engineering capabilities (MCP servers, agent orchestration, security) and commerce domain knowledge (product data, transaction flows, customer experience). Both disciplines exist within our integrated teams, eliminating handoffs and knowledge gaps.
Agent-optimised structure drives recommendations
AI agents recommend products and services they can easily understand and access. Proper structuring for agent consumption increases the likelihood of your offerings being recommended in agent-driven purchasing decisions.
