As Agentic AI moves from experimentation into enterprise operations, a new set of questions is emerging around cost, control, governance and traceability.
These are at the heart of The Invisible Bill: Governing the Hidden Costs and Compliance Risks of Agentic AI, the latest Research Note by Prof. Leonardo Felician, published by MIB Trieste School of Management.
We are proud to see KAPTO cited in the research as part of the discussion around how enterprises can introduce AI into critical business processes while maintaining control, transparency and operational governance.
The reference strongly reflects some of the principles that have shaped KAPTO from the beginning.
Token-free by design
KAPTO is designed without a token-based pricing model.
For enterprises running AI at scale, this means that the economics of a business process are not directly tied to the number of prompts, reasoning steps or tokens generated by an AI model.
This approach makes it easier to build predictable and sustainable AI-driven operations, particularly when automation moves from isolated use cases to high-volume production environments.
Proprietary AI models
KAPTO develops and uses proprietary AI models specifically designed for enterprise processes.
Rather than relying on a single general-purpose model, KAPTO combines different technologies and approaches according to the specific requirements of each step of the workflow.
This enables AI to be applied where its interpretative capabilities create real value, while keeping the overall process structured, controlled and aligned with business requirements.
Auditability and traceability built into the process
For enterprises, obtaining an AI-generated result is only part of the challenge.
Organizations also need to be able to understand what happened throughout the process, which information was used, which controls were performed and how the final outcome was reached.
KAPTO is designed to provide this visibility throughout the workflow.
Decisions, validations, business rules and human interventions can be tracked, creating a clear and accessible audit trail and making AI-enabled processes easier to monitor, review and govern.
A conversation worth exploring
The growing adoption of Agentic AI makes these questions increasingly important for organizations looking to move from AI experimentation to reliable enterprise operations.
Prof. Leonardo Felician's The Invisible Bill explores this emerging challenge and offers a perspective on how organizations can approach the next generation of AI systems.
We are pleased to see KAPTO included in this conversation.
Read the full Research Note by Prof. Leonardo Felician on MIB Trieste School of Management.
