At BAT Software, we take great pride in agent training—it is one of the most thrilling aspects of developing the AI agents tasked with file checking. While these agents will soon be rolled out across all user files, they are currently in pilot mode as we work to enhance their accuracy.
To effectively train these AI agents, we rely on qualified, experienced compliance professionals. feed the agents with training material. Following process is crucial, as it leads to judgment and ultimately results in file scoring. Once fully operational, the efficiency of these agents will quickly surpass that of human judgment. They already do that in pilot mode.
Today, our tool is actively sorting and scoring files for completeness. It is fascinating to witness a digital bundle of IFA documents enter the “sausage machine,” where they are systematically organized, checked for completeness, and scored. While the technology is impressive and somewhat bewildering, building confidence in its reliability takes repeated successes. A single failure can set us back days or even weeks, underscoring that the limitations of this technology lie not in the machine itself, but in your trust in it.
Trust is a delicate construct—it takes time to build and mere moments to shatter. Think about friendships that have faltered due to a small untruth, or those times when Google or Apple Maps led you astray. When IFAs allow AI to handle their compliance needs, it requires not just imagination to envision the future of this technology, but also a leap of faith in its capabilities. Our preliminary results show that the AI is already outperforming human accuracy during its trial phase, but it’s important to remember that no system is infallible.
What we do know is that the AI has the ability to create its own process flows to enhance outcomes. Following a well-defined process is key to achieving consistent results, as any scientist would attest. As we continue to refine and trust in our AI technology, we move closer to a more efficient future in compliance.