As AI agents move closer to executing real-world purchases on behalf of consumers, one startup is proposing an open standard designed to improve trust and accountability across autonomous commerce. A-Comm Technologies, Inc. has opened the draft A-Comm Evidence Protocol (AEP) for public comment through August 14, 2026, introducing an open-source framework that aims to provide verifiable records for AI-driven commercial transactions.
The initiative arrives as retailers, payment providers, and AI platform developers prepare for a broader rollout of agentic commerce, where autonomous AI systems can search, compare, negotiate, and complete purchases with limited human intervention.
Agentic AI is rapidly expanding beyond chat interfaces into autonomous commerce, where AI systems can independently discover products, build shopping carts, authorize purchases, and coordinate fulfillment. As this emerging ecosystem grows, industry participants are increasingly focused on one challenge: establishing trust between consumers, merchants, payment providers, and AI agents.
A-Comm Technologies believes that solving this problem requires standardized evidence rather than centralized oversight.
The company announced that its draft A-Comm Evidence Protocol (AEP) is now available for public review, inviting developers, payment providers, merchants, cybersecurity professionals, and standards organizations to help shape an open framework for documenting AI-powered commercial transactions.
Unlike transaction protocols that facilitate payments or purchasing, AEP is designed as an evidentiary layer that records how an AI agent arrived at a purchasing decision and how that decision progressed through authorization and fulfillment.
Building an audit trail for AI agents
The proposed protocol introduces a structured chain of evidence covering each stage of an autonomous transaction.
According to A-Comm, activities including product discovery, referrals, customer intent, delegated authority, policy checks, shopping cart creation, payment authorization, and fulfillment are recorded as cryptographically linked evidence artifacts.
These records are organized into a tamper-evident hash chain that is sealed when payment authorization occurs.
The resulting evidence package can then be exported and independently verified by multiple parties, potentially supporting dispute resolution, compliance reviews, fraud investigations, and transaction auditing without relying solely on a single platform’s internal records.
The company describes the protocol as functioning as a neutral witness rather than a competing commerce platform.
Why timing matters
The announcement comes as AI-powered shopping assistants gain momentum across retail and e-commerce.
A-Comm cited Salesforce, which reported that AI influenced approximately 20% of global online sales during the 2025 holiday shopping season, highlighting the growing role of AI in customer purchasing journeys.
The company also pointed to National Retail Federation (NRF) estimates indicating that the upcoming holiday period represents roughly 19% of annual retail revenue, suggesting that agent-initiated purchases could become increasingly common during one of retail’s busiest seasons.
If autonomous purchasing continues to expand, payment providers and merchants may need clearer mechanisms for determining how AI agents made purchasing decisions, whether delegated authority was valid, and how disputes should be resolved.
Open-source approach aims to encourage industry adoption
Rather than introducing a proprietary platform, A-Comm has released AEP under the Apache 2.0 open-source license, allowing organizations to implement the framework without licensing fees or vendor lock-in.
The company said the protocol is designed to complement existing agentic commerce technologies instead of replacing them.
By acting as an interoperable evidence layer, AEP could potentially integrate with multiple AI agent frameworks, payment systems, identity services, and commerce platforms while remaining independent of transaction outcomes or liability decisions.
A-Comm also said every public comment submitted during the review period will receive a documented response, an approach intended to make the standard-development process transparent.
Enterprise implications
As enterprises begin deploying AI agents capable of making purchasing decisions, governance is emerging as a critical consideration alongside automation.
Organizations adopting agentic AI increasingly face questions surrounding authorization, explainability, fraud prevention, regulatory compliance, consumer protection, and accountability.
An evidence-based framework could provide financial institutions, merchants, auditors, and regulators with a common method for reconstructing AI-assisted transactions without requiring proprietary platform access.
The proposal also aligns with broader enterprise trends emphasizing AI governance, auditability, and responsible AI deployment.
Research from Gartner identifies AI governance as a growing priority as organizations transition from AI experimentation to operational deployment, while McKinsey & Company has highlighted trust and transparency as essential enablers of enterprise AI adoption.
Whether AEP evolves into an industry standard will depend on participation from payment networks, AI developers, financial institutions, e-commerce providers, and standards bodies. However, the initiative reflects a broader shift in the AI ecosystem: as autonomous agents become capable of conducting financial transactions, technical standards for accountability may become as important as the AI models themselves.
Market Landscape
Agentic commerce is emerging as one of the next frontiers of enterprise AI, combining large language models, autonomous software agents, digital identity, payment infrastructure, and cloud services. Technology providers including Google, Microsoft, Amazon, Salesforce, Adobe, and NVIDIA are investing in AI agents capable of executing increasingly complex workflows, including procurement and commerce. As adoption accelerates, governance, auditability, interoperability, and transaction security are becoming key areas of innovation alongside model performance.
Top Insights
- A-Comm has opened the draft A-Comm Evidence Protocol (AEP) for public review, proposing an open standard to improve transparency and accountability in AI-driven commerce.
- The protocol creates tamper-evident evidence records covering every stage of an autonomous transaction, from customer intent through payment authorization and fulfillment.
- Released under the Apache 2.0 license, AEP is designed to complement existing agentic commerce protocols rather than replace them, encouraging interoperability across platforms.
- The proposal comes as AI agents increasingly influence online purchasing, prompting greater focus on governance, dispute resolution, and transaction verification.
- Enterprise adoption of agentic AI is expected to increase demand for open standards supporting explainability, auditability, and responsible AI governance.
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