It’s an exciting time to be in intelligent automation. We’re finally reaching the point where the gap between AI innovation and time-to-value has narrowed, giving enterprise leaders the satisfaction of better data for more accurate and timely decisions.

We’re seeing this most notably with generative AI. It came on the market in late 2022, and by early 2023, individuals and organizations globally were using it to make their research and communications easier. At ABBYY, we've been tracking our customers time-to-value for decades and have seen the value IDP routinely delivers in increased process efficiency and faster insights into data. And now, information from business-critical documents can be combined with generative AI to enable smarter business decisions that result in cost savings and better compliance adherence. Read more about how our connector for Vantage to ChatGPT can put your information to work.

However, the hype of new AI technologies can often bring unknown risks to an organization. Unlike past hype cycles like robotic process automation (RPA), when companies added software robots to every process without understanding their limitations, today, more prudent IT leaders are asking the right questions.

• How are the AI models trained?
• Which documents are used for the data sets and how often are they updated, will compliance still be met?
• Which security vulnerabilities should we be aware of, and is there inherent bias that will create reputation risk for the enterprise once exposed?
• And most importantly, how will it impact the process workflow and the customer?

We are working closely with our partners and customers to guide them between the hype and reality, and how the latest AI innovations can work within their current technical stack. The last thing any company can afford is buying new technologies that don’t work as expected or won’t be adopted enterprise-wide, resulting in further technical debt.