

Foundational Needs
What are we trying to solve?
Connected Silos
Decisions have lower quality when the relevant input-information is kept siloed. Graph databases combat that defficiency, allowing a better comprehension of context.

Embedded Uncertainty
Most BI dashboards don't address uncertainty correctly, because they miss the convolution between risk and performance and the consequent effect on objectives. A properly trained AI Agent is capable to help solving that challenge.

Decision-based Auditing
Besides risk-assuring processes by testing controls (an operational point-of-view), Internal Audit must verify if the decision models are aligned with Policies and Objectives (a governance perspective).

Risk and Performance Convolution
Any decision contains a trade-off between risk and performance. An explicit, up-to-date and quantitative trade-off allows for better-informed decision-making.

Governance Model
Board and Management need a shared understanding of how the organization's governance model is designed (entities, relationships among them and connections to decisions), so it can be audited and improved.

Insights at the speed of business
Critical decisions sometimes are made with insufficient information. Graph databases powered with AI are able to bring the needed information at the right time without hassle.
