How do you stay in charge of Artificial intelligence?

Jul 2, 2024

AI governance within business ruling and business process management.

Every industry and field is currently exploring the opportunities and threats of Artifical Intelligence (AI). Of course, we at Rulecube are also busy with various applications of AI. Anything to make your work easier and faster. We focus mainly on what we now call AI governance.

Within Rulecube, we look primarily at the use of AI for decision making processes and workflow within organizations. A key premise here is that AI cannot operate entirely on its own. Artificial intelligence cannot operate without human intelligence. For example, you need the human eye to assess whether AI is making the right decisions. There are also situations where you already know what choice you want to make, straightforward decisions for which you don’t need AI. AI can help you reach a decision faster, though. What you’re looking for is a combination of hard business rules and support from AI. Things you know you put in place. Things you need to learn, you give to AI.

How do you make sure AI is deployed appropriately within your organization? You do that with AI governance. AI governance is setting the right frameworks for the use of AI in your organization so that you reap the benefits, but continue to control where, how and to what extent AI is deployed. With a business rule engine like Rulecube, you set up that AI governance. That covers four areas:

Garbage in, garbage out: managing training data

Artificial intelligence learns based on data. You need to feed that data to your AI system. When that data is incomplete or contaminated, you run the risk of developing a “false bias”: conclusions are drawn based on biases or false assumptions.

Within your workflow, you determine what data you feed systematically to your AI model. This keeps your model current and comprehensive, but also ensures that you unlock the right data at the right time to your AI model.

Interpreting data: reading unstructured data

AI technology makes it possible to read documents and extract data from them, even if those documents are not all written the same way. Examples include appraisal reports, employer statements, bills of sale, letters of referral, business plans and financial statements. From those documents, you can extract the information relevant to your process, such as foreclosure values, income, asset position and included clauses. Based on that data, you can then make decisions according to hard decision rules. For example, within Rulecube we have an integration with Instabase, which allows you to read and interpret documents. Based on the content, you can set up decision rules so that applications for loans are rejected or granted, the right medical specialist is called in or a grant application is considered or not.

Rule finding: finding patterns to improve efficiency

Based on the available data, you can ask AI to create business rules. These can be complex business rules. AI does the preliminary work. Ultimately, humans determine whether such decision rules are implemented. Especially at this stage, transparency and control are important. A disqualification for a loan application, referral or grant application based on the applicant’s last name is undesirable, no matter how many rejected files with that name there may be in the database.

Decision-making and control: AI as part of the workflow

Of course, AI can also be used as part of the workflow to make decisions or control human actions. AI can spot human errors and human bias and thus play an important role in preventing unfair treatment of groups of people.

Part of the work process

True efficiency can only be achieved when AI technology is seamlessly integrated into existing processes. Think of data that is immediately stored in the central CRM. Or decision-making that immediately leads to a follow-up task for an employee. In addition to setting up AI governance, Rulecube naturally has an important role to play there as well.

For the foreseeable future, we see endless possibilities of AI for process improvement, acceleration, monitoring and validation. And we are working daily to make that future a reality. Want to stay informed? Sign up now for the Rulecube newsletter.

Read more