When OpenAI launched Frontier in February, the announcement was framed as a platform for enterprise AI brokers. What it really signalled was a direct problem to the income structure that has underpinned the software program trade for the higher a part of 20 years.
Frontier is designed to act as a semantic layer throughout an organisation’s current methods, connecting information warehouses, CRM platforms, ticketing instruments, and inside functions in order that AI brokers can function with the identical enterprise context a human worker would have. OpenAI describes these brokers as “AI coworkers” that may be onboarded, assigned identities, granted permissions, and reviewed for efficiency.
Early clients embrace Uber, State Farm, Intuit, and Thermo Fisher Scientific. The industrial ambition behind the platform is not delicate. OpenAI CFO Sarah Friar has acknowledged that enterprise clients presently account for roughly 40% of the firm’s income, and she or he goals to enhance this determine to nearer to 50% by year-end. Frontier is the car.
What Frontier really does to enterprise workflows
The case for Frontier rests on an issue that CIOs have described constantly via 2025 and into this yr: brokers deployed in isolation add complexity fairly than take away it. Every new agent turns into a degree of integration, requiring its personal information connections and governance controls, and the end result is fragmentation at scale.
OpenAI’s reply is a shared enterprise context. Moderately than every agent constructing its personal understanding of how an organisation works, Frontier gives a centralised layer that every one brokers can reference. Fidji Simo, OpenAI’s CEO of Functions, put it plainly throughout the launch briefing, drawing on her time operating Instacart.
“We spent months integrating every of the ones that we chosen. We didn’t even get what we really needed, as a result of every device was good for one use case, however they weren’t built-in or speaking to each other, so we have been simply reinforcing silos upon silos.”
The outcomes OpenAI cites from early deployments are notable. A world funding agency utilizing Frontier brokers throughout its gross sales course of freed up greater than 90% of salesperson time beforehand spent on administrative duties. A know-how buyer reported saving 1,500 hours a month in product improvement. At a serious producer, brokers compressed a manufacturing optimisation course of from six weeks to a single day.
Frontier is additionally intentionally open. It manages brokers constructed by OpenAI, brokers constructed in-house by enterprise groups, and brokers from third-party suppliers, together with Google, Microsoft, and Anthropic. That openness is each a design precept and a positioning transfer: it makes Frontier tougher to dismiss as a vendor lock-in play, whereas increasing the floor space it could possibly govern.
The seat-licence downside no person needs to say out loud
The deeper concern for incumbents is structural. The per-seat licence mannequin that has made SaaS enormously worthwhile assumes that software program utilization maps to headcount. If an AI agent handles the workflow that beforehand required a human worker logging into Salesforce, the justification for that seat licence weakens. Fortune described it straight: the concern in the market is that platforms like Frontier will make SaaS software program “invisible” and consequently much less useful.
Salesforce’s inventory has declined greater than 27% to this point this yr, a fall analysts have attributed extra to agentic AI disruption fears than to any weak spot in its underlying financials. The corporate’s This autumn FY2026 outcomes have been strong. Income reached $11.2 billion in the quarter, Agentforce’s annual recurring income hit $800 million, and the firm closed 29,000 Agentforce offers.
The inventory nonetheless fell after hours, on steerage that got here in under Wall Avenue’s expectations.
The incumbents are not standing nonetheless. Salesforce has launched what it calls the Agentic Enterprise License Settlement, a fixed-price, all-you-can-eat mannequin for Agentforce that makes an attempt to make consumption extra predictable for enterprise consumers.
ServiceNow has moved to consumption-based pricing for a few of its AI agent choices, and in January signed a multiyear settlement with OpenAI to embed frontier mannequin capabilities straight into its platform. Microsoft has launched consumption-based pricing alongside its per-user mannequin for Copilot Studio.
The pricing pivot is vital. It alerts that these corporations perceive the seat-licence mannequin can not survive agentic AI unchanged. The query is whether or not repricing is sufficient or whether or not the structure itself wants to change.
Two bets on the place the intelligence layer ought to sit
The strategic divide in enterprise AI proper now runs alongside a single fault line: ought to AI brokers reside inside methods of file, or above them? Salesforce and ServiceNow are betting on the embedded mannequin. They argue that brokers are only once they sit closest to the information, and that CIOs will belief governance and compliance controls extra readily from distributors already managing their workflows.
Marc Benioff, CEO of Salesforce, has described Agentforce as the “working system for the agentic enterprise.” ServiceNow positions its AI Management Tower as a centralised governance layer for all brokers, no matter the place they originate.
OpenAI, and to an identical diploma, Anthropic with Claude Cowork, is betting on the overlay mannequin. Frontier sits above current methods, utilizing open requirements to join them fairly than changing them. The pitch is that enterprises ought to not have to replatform to get production-grade brokers operating throughout their operations.
Each arguments have advantage, and enterprises evaluating these platforms will discover real trade-offs. The embedded strategy gives tighter information management and quicker time to worth inside a identified ecosystem. The overlay strategy gives flexibility and avoids the downside of brokers that may solely see one vendor’s information.
What the incumbents have that OpenAI does not is a long time of institutional belief and current contracts. What OpenAI has is the mannequin functionality benefit and an more and more credible argument that it could possibly run the intelligence layer throughout the entire enterprise, not only one product household.
What CIOs are really deciding
Frontier is presently out there to a restricted set of consumers, with broader availability anticipated over the coming months. Pricing has not been disclosed publicly, with OpenAI directing organisations to its enterprise gross sales staff.
For CIOs, the sensible resolution is not but binary. Most massive enterprises run Salesforce, ServiceNow, and Microsoft infrastructure concurrently. The rapid query is whether or not Frontier turns into an orchestration layer that connects these methods, or a aggressive platform that begins displacing them.
OpenAI’s chief income officer, Denise Dresser, provided what is most likely the most sincere abstract of the place enterprise AI brokers stand proper now. “What’s actually lacking nonetheless for many corporations is only a easy means to unleash the energy of brokers as teammates that may function inside the enterprise with out the want to rework every part beneath.”
That hole is precisely what each platform on this house claims to shut. The distinction with Frontier is that the firm making the declare now has the enterprise relationships, the manufacturing deployments, and the mannequin functionality to again it up. The SaaS incumbents have a head begin on belief and information. Whether or not that proves enough is the central query for enterprise software program via the remainder of 2026.
(Photograph by Austin Distel)
See additionally: OpenAI’s enterprise push: The hidden story behind AI’s sales race
Need to study extra about AI and massive information from trade leaders? Try AI & Big Data Expo going down in Amsterdam, California, and London. The great occasion is a part of TechEx and is co-located with different main know-how occasions together with the Cyber Security & Cloud Expo. Click on here for extra information.
AI Information is powered by TechForge Media. Discover different upcoming enterprise know-how occasions and webinars here.
Disclaimer: This article is sourced from external platforms. OverBeta has not independently verified the information. Readers are advised to verify details before relying on them.
