Mastering Value Management wins executive trust, secures larger budgets, and focuses delivery on the initiatives that matter most. Ensure your AI investments deliver maximum value by justifying and prioritizing the use cases that drive real business impact.
Unify the three layers of Value Management into one shared source of truth. Together, these layers connect planning, delivery, and proof enabling data and AI teams to shift from fragmented assumptions to a transparent, repeatable value story.
Build systematic, comparable business cases before investing using standardized metrics, shared assumptions, and a consistent evaluation logic.
Following best practises, track value progression through the lifecycle by connecting performance, quality and adoption indicators.
Capture and communicate realized outcomes through a structured impact logic, aligned with finance, to keep the value narrative coherent across stakeholders.
Evaluate and rank your AI use cases based on potential value, not opinions, ensuring resources are allocated to initiatives that generate the greatest business impact.
Define and measure success by linking each of your use cases to key business value drivers, helping you track their progress and justify investments.
Develop compelling business cases that clearly communicate the value of your data and AI initiatives, enabling better stakeholder alignment, buy-in and collaboration.
Gain full transparency into the costs of your use cases and uncover optimization potential through a clear understanding of cost realization.
Track value delivery over time and close the loop by verifying whether each use case achieved its promised impact.
Connect use cases and data products to business goals and value metrics to make their impact measurable and enable value-based decisions.

Leverage AI-driven insights to craft persuasive business cases that clearly articulate the value of your AI initiatives. Structure compelling narratives that align to stakeholders’ expectations and drive approval for high-impact use cases.
Define and customize scoring criteria based on your organization’s key value drivers. Adjust weightings and parameters to ensure prioritization aligns with strategic business goals and stakeholder expectations.




Gain a clear overview of your AI use case portfolio with the assigned ranking of each of your use cases. Easily compare them based on their value, impact, and alignment with business goals to optimize resource allocation.