Analyst(s): Keith Kirkpatrick
Publication Date: March 12, 2026

Salesforce’s introduction of the Agentic Work Unit (AWU) represents a pivotal moment in enterprise software pricing, as the industry grapples with how to charge for AI that operates autonomously and improves over time. The message to the market is clear: how vendors charge for AI has become nearly as important as what they deliver, and the vendors that align pricing with measurable business value will define the next era of enterprise software.

Key Points:

• Salesforce’s new AWU metric quantifies value delivered by Agentforce – a clear signal that even the largest SaaS incumbents see traditional pricing models as inadequate for autonomous AI workloads.
• Outcome-focused pricing is supplanting per-user models. Futurum’s 1H2026 Enterprise Software Decision Maker Survey shows outcome-based pricing preference hit 21.7% (up from 18% in 2H2024), while per-user-per-month dropped to 20.1% – reaching parity for the first time.
• AI-native challengers are forcing incumbents’ hands. OpenAI, Anthropic, and vertical AI vendors are entering enterprise software with value-first pricing, pressuring Salesforce, Microsoft, SAP, and ServiceNow to prove AI pricing ties to real business outcomes.
• Agentic AI breaks the seat-license model. When AI autonomously completes multi-step workflows and improves over time, pricing tied to human headcount rather than work accomplished no longer makes sense.

Overview:

Salesforce has introduced the AWU, a new metric to quantify the value of work performed by its Agentforce platform. The AWU measures completion of multi-step agentic workflows – not just API calls or simple interactions – marking a significant pivot from Salesforce’s prior consumption-based Flex Credits model and per-conversation pricing. It arrives as the enterprise software market confronts a fundamental question: how should vendors price AI that operates autonomously and improves over time?

The Market is Converging on Value-Based Pricing

The pricing landscape is fragmenting away from legacy models. Futurum Intelligence’s 1H2026 Enterprise Software Decision Maker Survey shows consumption-based pricing remains the most common model at 34.1%, but its dominance is eroding. Outcome-based pricing – linking costs to business results – has risen to 18.7% of current usage and 21.7% as a preferred future model, reaching near-parity with per-user-per-month preferences (20.1%) for the first time. Pricing model itself is now a top-three purchase criterion for 52.2% of decision-makers, signaling that how vendors charge matters almost as much as what they deliver.

Seat-Based Pricing No Longer Fits

Traditional per-user pricing assumed software was a tool wielded by individual humans. Agentic AI breaks this logic. AI agents operate across workflows, engage multiple systems, and execute tasks previously requiring several human workers. Their value compounds as they learn – creating a widening gap between fixed seat costs and expanding value delivered. Salesforce’s AWU formalizes a standardized unit to measure and ultimately price agentic work output, though it quantifies task completion rather than business outcomes.

Consumption Pricing: A Step Forward, But Not Enough

Consumption-based models improved on seat licenses by linking costs to utilization and remain the preferred GenAI pricing model (42.9%). However, they still measure inputs – credits, tokens, API calls – rather than outputs such as problems solved or revenue generated. An agent consuming identical resources might resolve a complex issue or fail entirely; the customer pays the same either way. Outcome-based pricing, by contrast, shares risk between vendor and buyer – a dynamic driving its rise from 15% usage in 2H2024 to 18.7% today. Salesforce’s AWU occupies a middle ground: task-completion measurement without requiring customers to fully define success criteria.

AI-Native Challengers are Raising the Bar

Competitive pressure extends beyond traditional SaaS. AI-native companies such as OpenAI, Anthropic, and vertical AI vendors are entering enterprise software with value-first commercial models, unburdened by seat-based legacy economics. Incumbents counter with deep integration advantages across enterprise data, workflows, and governance. The AWU serves partly as a defensive moat – demonstrating that Salesforce can measure agentic value with the transparency AI-native competitors promise.

Enterprise Buyers Demand Measurable Outcomes

Futurum’s AI Platforms Decision Maker Survey confirms the shift: top AI success metrics are productivity improvements (56.0%), revenue increases (52.4%), and cost savings (51.6%). Nearly half (49.2%) of buyers rate “projected time to value” as critical. While AI budgets remain at 5–10% of IT spend, 66.8% of decision-makers plan increases – contingent on demonstrable returns. This creates a reinforcing cycle where outcome-aligned pricing becomes both a differentiator and a precondition for expanded investment. Salesforce’s AWU signals it understands this calculus, even if the metric’s adoption doesn’t extend beyond its own ecosystem.

The full report, “As Enterprises Demand AI ROI Proof, Are Value-Linked Approaches Gaining Steam?” is available via subscription to Futurum Intelligence’s Enterprise Software & Digital Workflows IQ service—click here for inquiry and access.

You can read the blog post discussing the AWU on Salesforce’s website.

Futurum clients can read about it in the Futurum Intelligence Platform, and non-clients can learn more here: Enterprise Software & Digital Workflows Practice.

About the Futurum Enterprise Software & Digital Workflows Practice

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