The governance part is the most prominent area for improvement. We want to have a dashboard with just one click where the KPIs are pre-configured as per the business requirement and those things are monitored on a regular basis to check how things are moving. Governance and high-level management or board level visibility matter the most. We are trying to incorporate artificial models which can take care of many things that are currently taken care of manually or through certain jobs so that they can be automated with the help of AI models or agents. We will progress as the AI model matures with pattern learning and all those things. We want self-decision capabilities. Not just analysis and giving alerts, but even taking decisions of actions and performing those actions. The first step would be to not only alert that there is an issue or threat, but to evaluate the threat itself in generality and suggest something. The second step is where those suggestions will definitely have some good minds working on them, but only if they are suitable will we make it as a learning model. Otherwise, we will discard and modify those things. The second level would be to let the learning model learn and then gradually figure out whether we can delegate the decision in the sense of the action that they can perform, see it and then evaluate whether it is falling in line as per the expectation. This is how we will progress on a use case basis only.
