There are four pricing models for AI: activity-based, workflow-based, outcome-based, and agent-based pricing.

The pricing model for AI services is evolving; companies might pay for successful outcomes, qualified leads, or resource utilization, reflecting a shift in how value is perceived in AI-driven businesses.

The pricing model for AI tools is shifting towards usage-based pricing, making it easier for companies to justify ROI and shorten sales cycles.

Charging by activity and changing pricing based on workflows are effective strategies for AI companies, moving towards value-based pricing rather than cost-based pricing.

Workday's AI solutions are priced based on three models: seat-based pricing, agent-based pricing, and consumption-based pricing.

Workday's three-pronged approach to monetizing AI includes seat-based pricing, role-based agents, and consumption-based API access.

The biggest concern for product managers regarding AI agents is cost, as many platforms price based on usage rather than value.

Agent-based pricing allows companies to charge based on the work done by AI agents, which can replace a significant portion of traditional sales development roles.

The marketing narrative around agents often suggests they can replace human workers, which can lead to inflated pricing models for AI software.