Artificial intelligence (AI) is here to stay. There’s no escaping it, including in risk and compliance. For just one real-world example, consider that Large Language Models (LLMs) are becoming increasingly integrated into search engines used for due diligence research. We also find them seeping into compliance databases, social media platforms, and other big data systems.
Especially with all the hype around AI and its promises, it helps to be skeptical.
The question is, do we use it passively and follow the crowd or do we take the initiative and shape it to suit our purposes? Especially with all the hype around AI and its promises, it helps to be skeptical.
Given this new AI landscape, Integrus is helping our clients use AI on their own terms. Where these tools are supposedly passive, we can show where consumption of external resources may be occurring in areas over which you have little oversight or control. After all, we can only manage what we know.
When Integrus was founded in 2021, our goal was clear and it remains to this day: We help clients leverage emerging technologies alongside traditional investigative methodologies so that risk research is secure and even more robust and sophisticated. What sets us apart is that we create our own AI-driven research models and tools to maximize accuracy and efficiency, free from added risks and marketing hype.
We understand that sophisticated risk intelligence reports still need smart, experienced professionals to oversee deeper analysis. Good work won't be replaced by clever word clouds or questionable LLMs that may in some cases deliver “hallucinations” or material better suited for fantasy novels.
How AI Impacts Choice
Some risk and investigations providers have overpromised that we no longer need to worry about human research, thanks to the power of AI, which is at times misrepresented as a wholesale replacement for traditional investigative research and analysis.
Nonetheless, we find that challenges remain and there is still much left to be done in using AI responsibly in risk research. In a nutshell, AI and emerging technology can be used to address specific pain points in the traditional diligence process, and make it more robust, if integrated properly and transparently into a research and analytical process.
To cut through the fog, here are some points on the good, the bad, and the ugly of our AI-driven age:
AI the Good:
Can make investigations more robust.
Can increase the scope of coverage.
Adds significant analytical power.
Can offer much quicker turnaround times.
Delivers more utility out of a tight or limited budget.
AI the Bad:
Increases the risk of cutting corners/streamlining approvals.
Can replace necessary human intervention.
Encourages a culture of AI-driven decision-making.
Can have poorly designed models.
Can be ineffective or lack safety nets.
AI the Ugly:
Every resource you use (search engines, compliance databases, social media, etc.) may be integrating AI into their models, but not always with risk intelligence in mind.
Risk research and intelligence-gathering processes will be impacted by AI, whether you like it or not.
Information will be manipulated and will be buried in results, so how many such results can a research analyst practically go through?
Compliance databases will use AI to reduce noise and deliver more focused (and presumably accurate) results. Yet this means that some results are labelled as “false positives” or “irrelevant.” This may be opaque and beyond the control of the analyst.
At Integrus, we spearhead a more balanced approach that takes the above opportunities and concerns into consideration. We offer a variety of pricing tiers that put the client in control by allowing them to decide the balance of AI-human work allocation in risk research.
For more information on how Integrus combines AI-driven advantages with human guidance in Full Spectrum Due Diligence, please leave a comment or contact us.