Monetising Intelligence in the Era of Agentic AI

What happens to software pricing when your “user” is no longer a person, but a digital worker?
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In this Enterprise Times Podcast, host Stephen Brooks sits down with Kiran Kembhavi, SVP, Cloud, Data & AI Practice and Nisha Advani, AVP, Customer & Partner Success, of Cybage Software to explore a stimulating idea: monetising intelligence in the era of agentic AI.

We’re moving from “software as a service to service as software” notes Kembhavi. Instead of renting tools and charging per seat, agentic AI introduces autonomous digital workers that can understand context, research, decide, and act through APIs. That shift raises a fundamental question:

If AI agents are doing the work, what exactly should customers be paying for?

Advani and Kembhavi explore five areas:

  • From licences to outcomes
    How value-based pricing evolves when agents resolve tickets, qualify leads, and generate reports—and why “units of value” finally become measurable.
  • Digital workers & new revenue models
    Why AI agents shouldn’t be viewed as add‑ons to roles, but as orchestrators of end-to-end workflows, creating new monetizable units of work and entirely new marketplace models.
  • The hard part: costs, governance, and trust
    Recursive compute costs, AI ops/FinOps, and why, without observability, explainability, and user overrides, you’re not monetising intelligence—you’re just subsidising complexity.
  • Agent marketplaces, brokerage, and aggregators
    How tomorrow’s platforms may broker between specialised agents, introduce orchestration fees and revenue shares, and shift us from an app economy to a skill economy.
  • The cultural and organisational shift
    New metrics and KPIs are likely to emerge, Advani noted, “I wouldn’t be surprised if we soon start seeing metrics like agent resolution rate or AI labour hours or even agent utilisation, which become part of the executive dashboard and tracked by a CXO level.” There will be new leadership roles, responsible for the governance of digital workforces. The real transformation is, therefore, as much cultural as it is technical.

If you’re a SaaS leader, product owner, or enterprise strategist wondering how agentic AI will reshape your business model, pricing, and organisation, this conversation offers a clear, practical—and at times provocative—glimpse into the next decade of software.

To hear what else Kiran Kembhavi and Nisha Advani had to say, listen to the podcast.

Where can I get it?

You can listen to the podcast by clicking on the player below. Alternatively, click on any of the podcast services below and go to the Enterprise Times podcast page.

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