Navigating Compliance and AI

Compliance monitoring and reporting are intricate processes, involving the collection, analysis, and meticulous documentation of pertinent data to demonstrate adherence to regulations while identifying potential issues or risks. These procedures hold immense significance in the operations of any organization, particularly in highly regulated sectors like finance, healthcare, and energy.

Yet, compliance is far from static or straightforward. It continuously evolves, growing in complexity as new regulations surface and existing ones undergo revisions. Furthermore, compliance necessitates the management of substantial volumes of data from a multitude of sources and formats, a task that can be arduous and time-consuming if handled manually. The reliance on manual techniques for compliance monitoring and reporting exposes the process to human errors, inconsistencies, and delays, jeopardizing the reliability and quality of outcomes.

This is where the discussion surrounding compliance and AI comes into play. Much like the sweeping transformations witnessed across various industries in 2023, AI is revolutionizing how organizations approach compliance monitoring and reporting by automating and elevating various facets of these processes. In this blog post, we will delve into AI’s role in reshaping compliance procedures.

The Current State of Compliance and  AI

Cyber compliance goes beyond mere regulatory requirements and needs to be done to avoid penalties and legal consequences. It is critical to protecting a business’s reputation, building customer trust, and ensuring long-term sustainability.

Traditionally, compliance monitoring and reporting has been a manual and labor-intensive process that involves collecting data from various sources, such as documents, databases, emails, websites, etc., and processing it by mainly using spreadsheets. The data then has to be analyzed, validated, and formatted according to the specific requirements of each regulation or standard. The final step is to generate reports that summarize the findings and demonstrate compliance. Fortunately, at Isuna, we are dedicated to simplifying and facilitating compliance procedures with our tools and advisory services, which you can explore further.

AI technologies, such as machine learning (ML) and natural language processing (NLP), can help automate and enhance various aspects of compliance procedures, changing the current landscape of compliance monitoring and reporting.

AI can assist in generating reports that are consistent, accurate, and compliant with the specific formats and standards required by each regulation. It can also help organizations monitor compliance in real-time by continuously collecting and processing data from various sources and alerting them of any changes or deviations that may affect their compliance status. This way, AI can help organizations be more proactive in addressing compliance issues before they escalate or result in penalties.

Balancing Automation with Human Involvement

AI is a powerful tool that can help organizations improve their compliance monitoring and reporting processes, but it is not a substitute for human involvement and expertise. However, they are still very recent and not perfect: AI systems may have limitations, assumptions, or uncertainties that affect their performance and reliability, apart from not being able to handle complex situations that require human judgement.

Therefore, at Isuna, we believe in balancing automation with human oversight and intervention when using AI for compliance purposes. Human involvement is necessary to ensure that AI systems are aligned with the organization’s goals, values, and ethical standards; and essential to to monitor, evaluate, and audit the AI systems’ outputs and outcomes, and to provide feedback and corrections when needed. For this reason, we provide advisory services and community access to our clients, onboarding them personally and assisting them in each step of their compliance journey.