Anthropic lays groundwork for bots that shop for you
Now comes the harder sell: Convincing customers and merchants to trust AI with purchases.
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The problem
AI shopping agents could make commerce faster and more convenient, but consumers and merchants lack the trust infrastructure needed to use them confidently. Agents may access purchase histories, preferences and behavioural data, creating opportunities for surveillance, discriminatory pricing and manipulative recommendations. Consumers cannot easily verify whether an agent is acting in their interests, following agreed limits or sharing information appropriately. Merchants face a different uncertainty: proving that an AI initiated an authorised purchase and determining responsibility when it goes wrong. Without clear permissions, transparent decision-making, reliable identity and an auditable record, agentic commerce risks scaling fraud, disputes and consumer harm rather than convenience.
The solution
DataPal provides the trust infrastructure that agentic commerce needs. Through machine-readable privacy, trust and intent signals, individuals can define what an AI agent may access, share and do on their behalf. Clear, portable permissions can establish spending limits, product preferences and acceptable uses of personal data before an agent acts. DataPal’s agent audit log creates a traceable record of permissions, decisions and actions, helping consumers prove what they authorised and merchants verify how a transaction occurred. This turns delegated purchasing from a leap of faith into a transparent, permissioned and accountable digital relationship, protecting consumers, merchants and AI providers while enabling trusted agentic commerce.
If you would like to find out more, arrange a Proof of Concept (PoC) or discovery session for your business then please contact us.
