Cruise Money has demonstrated an agentic payments card designed to move AI-powered personal finance beyond recommendations and into controlled transaction execution. Unveiled at Global Fintech Fest 2026 in Mumbai, the virtual prepaid card combines Cruise Money’s AI money companion with payment infrastructure from LivQuik Technology and M2P Fintech, allowing users to establish spending mandates and guardrails through a conversational interface before an AI agent executes permitted purchases.

The development points to a broader shift in digital payments: AI assistants are increasingly being designed not only to help consumers decide what to buy, but also to determine how and when a transaction should happen.

Cruise Money’s approach starts with its Safe to Spend figure, which continuously considers factors including income, committed bills, EMIs, investments, emergency reserves and savings goals. Instead of asking users to provide an arbitrary spending ceiling, the platform aims to calculate an amount based on the user’s broader financial position.

The agentic payments card then applies that financial context to individual transactions. Users can tell Cruise Money what they want to accomplish—such as setting a monthly budget, funding a goal, booking travel or ordering groceries. The platform proposes a mandate containing parameters such as the amount, spending category, validity period and approval threshold. The user approves the mandate once within the conversation.

A virtual prepaid card is subsequently issued for use by the agent within those parameters. LivQuik Technology (India) Private Limited is the card issuer, while M2P Fintech provides the API infrastructure supporting the card layer.

At the current preview stage, the card operates with a single prepaid funding source. Cruise Money says it plans to introduce multi-source orchestration subject to the required approvals, allowing the agent to determine how permitted funding sources should be used according to the user’s priorities, such as preserving cash flow or maximizing rewards.

That distinction is important for the emerging agentic commerce market. Many AI payment concepts have focused on giving an agent permission to spend up to a predefined amount. Cruise Money is attempting to add a financial decision layer between the user’s instruction and the transaction.

McKinsey has identified agentic AI as a potential structural change for retail and SME banking, with AI agents potentially handling shopping, payments and other financial decisions on behalf of customers. Its 2025 Global Banking Annual Review estimated that AI could eventually produce a 15% to 20% net reduction in banks’ aggregate cost base, although the firm also highlighted potential disruption to traditional banking revenue pools.

The competitive environment is developing quickly. Visa has been examining live onchain activity around agentic payments, while Mastercard launched Agent Pay for Machines in June 2026 and said more than 30 industry participants were among its initial supporters.

The infrastructure challenge is therefore extending beyond payment authorization. AI agents need identity, authentication, permissions, transaction limits, auditability and mechanisms for proving that a payment reflects the consumer’s original intent.

Cruise Money says its demonstrated flow addresses that requirement by assigning every transaction to a registered agent identity. A transaction that would violate a user’s mandate—for example, drawing against money allocated to a savings goal—is stopped rather than automatically completed.

That control layer could become particularly important as financial AI moves toward autonomous execution. Reuters reported in September 2026 that banks have raised concerns around fraud, privacy, consumer protection and uncertainty over responsibility when AI agents make purchases.

For fintech infrastructure providers, this creates an opportunity to supply the rails underneath AI-driven financial experiences. Issuers such as LivQuik, API infrastructure providers such as M2P Fintech, payment networks and banks could all become components of an emerging agentic payments infrastructure stack.

For consumers, the model changes the role of the card itself. Instead of functioning primarily as a mechanism for accessing funds, an agentic card can become an execution layer governed by a financial mandate.

Cruise Money’s product remains a preview rather than a generally available payment service. The company said the agentic card is awaiting regulatory approvals, with phased access planned for waitlist members. Its Global Fintech Fest demonstration nevertheless illustrates where AI-powered digital payments, embedded finance and autonomous commerce are converging: the payment becomes the final step of a broader financial decision made by software within boundaries established by the user.

Market Landscape

Agentic commerce is moving from conversational recommendations toward transaction execution. Visa’s research describes AI agents already beginning to make payments for activities including travel, inventory and computing, while Mastercard is developing infrastructure for machine-initiated transactions.

The financial-services implications extend beyond cards. McKinsey has outlined scenarios in which AI agents could search for banking products, optimize finances and execute transactions without customers interacting directly with traditional bank channels.

In India, the opportunity sits within an already highly digitized payments environment. Statista’s 2026 data tracks continued expansion in both the value and volume of UPI and broader digital payments, providing an established digital infrastructure base for new payment experiences.

Top Insights

• Cruise Money’s agentic card combines financial planning, spending mandates and payment execution within a single conversational AI workflow.
• LivQuik provides card issuance while M2P Fintech supplies API infrastructure for the demonstrated virtual prepaid card.
• The platform calculates Safe to Spend using income, obligations, savings, investments and financial goals rather than relying solely on user-set limits.
• Agent identity, authentication, audit trails and transaction guardrails are becoming central infrastructure requirements for autonomous payments.
• Regulatory approval remains a prerequisite before Cruise Money’s agentic card can move from preview to broader consumer availability.

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