Data Accuracy in the Age of AI

AI has been prevalent for a number of years now but recent advances in the industry have made it prevalent and accessible for everyone. While this can undoubtedly increase productivity on the end-user level, leaders of business are correct when we assume that AI intervention and “help” are introducing a new and increasing level of risk to critical assets and processes.

We are now at the point in development where AI ‘agents’ are capable of editing documents, spreadsheets, and even creating projects from scratch. This massive increase in productivity has a dark side though, namely the fact that AI outputs cannot be trusted in the minute and tedious details that they are often tasked with working on. Executives and managers are wise to implement guardrails to minimize associated risks that these agents can introduce.

There are three options that leadership can do to mitigate AI data risk:

  1. Implement process guardrails: By implementing or augmenting processes to ensure accuracy, firms can ensure that all outputs and reports are as accurate as possible. This can be a good option if you would rather fully trust a human to ensure accuracy and accountability when it matters most. The main cons to this approach are costs, both financial and time-wise for whoever has to go through and double-check all of the required outputs.
  2. Ban the use of AI agents: this could potentially be the cheapest option, but it would effectively limit any productivity gains that could be gained by leveraging available technology. In addition to this, it would be hard to enforce and you would likely have to implement some kind of process to ensure that end-users are not using some kind of 3rd party or user-developed application outside of the purview of IT. This will cost money and time as well.
  3. Install an automated solution that verifies accuracy at a level and speed that will save you hundreds of labor-hours. Software can find errors, inconsistencies, and reference errors in a matter of minutes, eliminating risk from AI hallucinations and missed details. By implementing a solution like that provided by Incisive Software you can generate executive reports quickly and easily and be totally sure that both AI and human-errors have been addressed and eliminated.

No matter which option you choose for your enterprise needs, AI risk has entered the scene and while it can improve productivity, it can also amplify and obfuscate legacy human-based errors.

At Incisive Software, we’re committed to helping organizations build a strong foundation for success based on accurate and trustworthy data. With the growing reliance on End User Computing assets, open-source tools, and complex spreadsheets, the risks of data errors and mismanagement have become greater than ever before. We’re dedicated to providing innovative solutions that empower organizations to reduce their exposure to these risks, improve data quality and enable confident decision-making. By combining automation, modern technologies, and proven practices, our solutions bring greater accuracy, control, and insight to the management of an organization’s most complex, critical, and sensitive data resources. To learn more, please visit https://www.incisive.com

Resources

Automatically Discover What’s On Your Network

This document explains why End‑User Computing (EUC) assets, especially spreadsheets, databases, macros, and user‑built tools create significant hidden risk for banks and other data‑driven organizations

Data Accuracy in the Age of AI

AI has been prevalent for a number of years now but recent advances in the industry have made it prevalent and accessible for everyone. While

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