🛒 Agentic Commerce Infrastructure
Agents can only buy from organisations they can trust and read.
TRANSACT connects your VISEON knowledge graph to the real-time data pipelines and open commerce protocols that AI agents use to discover, decide, and purchase. Schema.org gets you found. TRANSACT gets you sold.
THE SHIFT
The purchase decision has moved upstream
AI agents no longer hand off to the human at the point of purchase. They complete it. The question is no longer whether agentic commerce will affect your business — it is whether your infrastructure is ready for it when an agent arrives.
$3–5 Trillion by 2030
McKinsey projects agentic commerce will redirect this volume of global retail spend through AI-mediated channels within this decade.
4,700% Traffic Growth
AI-referred traffic to US retail sites grew 4,700% year-on-year in 2025, according to Adobe. This is not a trend — it is a structural shift.
Agents Are Live Today
ChatGPT Instant Checkout, Google Gemini via UCP, and Microsoft Copilot Checkout are completing real purchases for real consumers right now.
THE PROTOCOL LAYER
Open Commerce Protocols are the new checkout
Open Commerce Protocols (OCPs) are the emerging family of open standards that define how AI agents discover products, authenticate purchases, and execute transactions — without requiring a human to navigate a website. Two are already in production.
ACP — Agentic Commerce Protocol
Developed by OpenAI and Stripe. An open standard enabling AI agents to complete purchase flows — product discovery, checkout, and payment — directly inside conversational interfaces. Powers ChatGPT Instant Checkout. Released under Apache 2.0.
UCP — Universal Commerce Protocol
Developed by Google with Shopify, Walmart, Target, Etsy, and 60+ partners. A broader open standard covering product discovery, authenticated checkout, order management, and post-purchase events across AI surfaces including Gemini and AI Mode in Search. Compatible with MCP, A2A, and AP2.
AP2 — Agent Payments Protocol
Google’s open payment layer for agent-led transactions. Uses cryptographically provable mandates to verify delegated authorisation — so agents can pay on a user’s behalf while preserving audit trails and merchant risk controls.
THE CRITICAL DEPENDENCY
Protocols need data. Real-time data.
OCPs are the transaction layer. But a transaction layer without live, accurate data beneath it produces the wrong outcomes: incorrect pricing, oversold stock, failed fulfilment, and broken agent trust.
Batch Data Will Fail Agents
Legacy systems that update inventory, pricing, and availability overnight cannot support agent transactions that resolve in seconds. An agent that queries stale data and completes a purchase produces a broken order.
Schema Without Pipeline Is Incomplete
A perfect knowledge graph with static product data will get your brand discovered. It will not complete a transaction reliably. Discovery and transactability are separate capabilities requiring separate infrastructure.
Semantic Consistency Must Extend to ERP
The meaning of “available”, “in stock”, or “lead time” must be consistent from your knowledge graph through to your order management and fulfilment systems — or agents will act on definitions that do not match operational reality.
THE SEMANTIC LAYER
OSI: The standard that governs meaning across the pipeline
The Open Semantic Interchange (OSI), led by Snowflake and joined by Qlik, Databricks, Mistral AI, Salesforce, BlackRock, and 40+ ecosystem partners, addresses the problem that sits beneath the transaction layer: fragmented, inconsistent business definitions that cause AI to reason incorrectly even when the data exists.
WHAT OSI SOLVES
Metric Drift
“Revenue” means different things in your BI tool, your ERP, and your AI agent’s knowledge base. OSI provides a vendor-neutral YAML-based specification — defining metrics, dimensions, and relationships once, portably, across every platform.
AI Hallucination from Conflicting Definitions
LLMs and agents that receive contradictory business logic from different systems produce unreliable outputs. OSI’s single semantic source of truth gives AI agents consistent grounding — the same definitions your analysts trust.
N-to-N Integration Debt
Custom semantic translations between every tool in the stack accumulate into a fragile, expensive web of mappings. OSI’s open specification replaces bespoke integrations with a shared interchange standard.
WHERE VISEON CONNECTS
Schema.org and OSI are complementary, not competing
Schema.org defines what your organisation is and what it offers — the knowledge graph layer that AI agents discover and cite. OSI defines what your business metrics and definitions mean — the semantic consistency layer that ensures agents reason correctly once they act.
Schema.org Knowledge Graph
VISEON builds and validates the structured entity layer — products, services, availability, pricing — that agents query to make discovery and comparison decisions.
OSI Semantic Alignment
VISEON maps your Schema.org entity definitions to OSI-compatible YAML semantic models — ensuring the meaning expressed in your knowledge graph is consistent with the business logic in your BI, ERP, and data platforms.
OCP Endpoint Readiness
VISEON assesses and prepares your product and service catalogue for exposure via ACP and UCP-compatible endpoints — so agents can not only discover you but complete a transaction without leaving their interface.
THE FULL STACK
From discovery to dispatch — five layers every agent-ready organisation needs
TRANSACT does not replace your existing commerce infrastructure. It connects the semantic and knowledge graph layer VISEON builds to the real-time pipelines, open protocols, and fulfilment systems that complete the transaction.
Layer 1 — Knowledge Graph
Schema.org entities defining products, services, pricing, availability, and organisational identity. Built and validated by VISEON. This is what agents discover and cite.
Layer 2 — Semantic Consistency (OSI)
YAML-based semantic models aligning business definitions across BI, ERP, and AI. Prevents metric drift from corrupting agent decisions at the point of action.
Layer 3 — Real-Time Data Pipeline
Live inventory, pricing, and availability feeds from your ERP and commerce systems — updated continuously, not in batches. Qlik’s data integration capability is the natural partner here for Differentia clients.
Layer 4 — OCP Endpoints (ACP / UCP)
Standardised agent-facing commerce endpoints exposing your catalogue, checkout, and order management via ACP and UCP. The interface through which agents transact.
Layer 5 — Fulfilment & Service Intelligence
Order management, shipping, returns, and post-purchase events — exposed back to agents via standardised order lifecycle events so the transaction does not end at checkout.
Governance Throughout
Every agent action is logged, attributable, and auditable. Agents operate within defined scope limits. Merchant remains the seller of record. Compliance and chargeback flows preserved.
VISEON + DIFFERENTIA + QLIK
The data readiness gap that stops agents completing transactions
Most organisations with well-structured Schema.org markup still cannot support agentic transactions — because their ERP data is batch-processed, their semantic definitions are inconsistent across systems, and their commerce stack has no agent-facing endpoints. This is the gap TRANSACT addresses, in combination with Qlik’s data integration capability and Differentia Consulting’s ERP expertise.
WITHOUT TRANSACT READINESS
Agent discovers you, cannot transact
Your Schema.org knowledge graph gets you into the agent’s consideration set. But without OCP endpoints, the agent cannot proceed to purchase — and moves to a competitor who can.
Stale data produces broken orders
Overnight batch ERP updates mean the availability your knowledge graph advertises at 9am may not reflect reality by 9:05am. Agents acting on stale data create fulfilment failures and erode trust.
Metric drift corrupts agent reasoning
When “margin”, “lead time”, or “in stock” means different things in your BI layer versus your ERP versus your Schema catalog, agents make decisions based on a definition that does not match operational truth.
WITH TRANSACT READINESS
Discovered and transactable
Your knowledge graph surfaces your organisation in agent discovery. Your OCP endpoints allow the agent to complete a purchase without leaving its interface. Merchant of record remains yours.
Real-time data, reliable outcomes
Live ERP and inventory feeds ensure that what an agent reads in your knowledge graph reflects current operational reality — preventing fulfilment failures and maintaining agent trust in your catalogue.
Consistent semantics from graph to ERP
OSI-aligned semantic models ensure business definitions are consistent from your Schema.org entities through to your data platforms and operational systems — so agents reason from a single, trusted version of your business logic.
FAQ
Frequently asked questions
ACP and UCP define how agents transact. They do not define what data feeds those transactions, how that data is governed, or whether your semantic definitions are consistent across systems. TRANSACT addresses the full readiness stack — knowledge graph quality, semantic alignment via OSI, real-time data pipeline integrity, and OCP endpoint preparation — so that when an agent arrives at your ACP or UCP endpoint, the transaction completes reliably.
No — TRANSACT readiness is platform-agnostic at the data pipeline layer. However, for organisations already using Qlik for data integration and ERP connectivity, the Differentia Consulting and VISEON combination offers a natural path: Qlik supplies the governed, real-time data products; VISEON projects them into the Schema.org knowledge graph and OCP-ready endpoints.
The Open Semantic Interchange (OSI) is an open-source initiative led by Snowflake and joined by Qlik, Databricks, Mistral AI, Salesforce, and 40+ partners. It defines a vendor-neutral YAML-based specification for semantic metadata — a common way to express business metrics and definitions so they remain consistent across BI tools, data platforms, and AI agents. For agentic commerce, OSI matters because agents that receive inconsistent business definitions produce unreliable decisions. OSI is the standard that prevents semantic drift from corrupting agent reasoning at the point of transaction.
This depends on your current ERP architecture and data pipeline design. Many enterprise ERP systems — including SAP and JD Edwards — support real-time data access but are often configured for batch processing in practice. A TRANSACT readiness assessment evaluates your current pipeline architecture and identifies the specific changes required to support live agent queries. This is an area where Differentia Consulting’s ERP integration expertise is directly relevant.
Discoverability comes before transactability. The starting point is a VISEON Digital Catalogue Assessment — an evaluation of your current Schema.org coverage, entity quality, and knowledge graph completeness. TRANSACT readiness builds on that foundation. Attempting to implement OCP endpoints before the knowledge graph is validated will produce an agent-facing interface that cannot be trusted.
Is your organisation ready for an agent to buy from you?
TRANSACT readiness starts with your knowledge graph and semantic foundations. If those are not yet in place, start with a Digital Catalogue Assessment. If they are, we can assess your pipeline and OCP endpoint readiness now.