Why CFOs Should Look to Healthcare for Agentic B2B’s Permission Layer

Payments companies already possess the tools to authenticate machines, utilizing API keys, tokens, certificates and digital credentials. However, establishing a machine's identity does not address a more critical economic question: What decisions is it permitted to make? In enterprise ecosystems where the context and data workflows surrounding a payment are often more crucial than the transaction itself, the issue of permission becomes increasingly significant for B2B CFOs and finance teams.

Recent developments in healthcare, such as Forus' $150 million Series C financing and Verily Health's investment into AI-ready data deployment, demonstrate how healthcare could serve as a valuable testing ground for the future of B2B payments. AI agents are now undertaking administrative tasks within healthcare that require navigating identity, delegated authority, policy interpretation, documentation, counterparty communication, exceptions and escalation.

The core challenge lies not in identifying the agent but in determining its authority. Traditional software executes predetermined instructions, while agentic AI must interpret rules, gather evidence, interact with counterparts, resolve exceptions and sometimes decide on the next course of action. Permission should be contextual, not binary.

For instance, a procurement agent tasked with replenishing inventory must be permitted to choose a new supplier, accept price increases, adjust quantities, negotiate payment terms, surpass departmental budgets, and initiate payments. Each decision demands a distinct level of permission. Permission architecture within B2B software is beginning to emerge as a competitive focus.

Enterprises have long incorporated authority into their systems, such as ERP platforms containing budgets and cost centers, procurement applications with approved vendor rules, corporate cards enforcing spending limits, contracts defining commercial boundaries and identity systems outlining organizational roles. These controls resemble machine-readable governance.

A PYMNTS Intelligence report revealed that nearly 7% of U.S. enterprise CFOs had deployed agentic AI in live finance workflows as of September 2025, with an additional 5% engaged in pilots. The transaction is evolving into a chain of authority, where a company might allow an agent to autonomously transact with approved suppliers up to a certain amount, tolerate price variance within a defined range, and adjust shipping terms when the cost of delay exceeds the premium.

Healthcare serves as a valuable lesson for finance, highlighting the necessity for autonomous systems to maintain a record of their actions, given the extensive documentation required in healthcare for administrative decisions. Legal considerations also play a role, with healthcare firms needing to determine if existing laws apply to AI solutions or if they create risks covered by older legal obligations.