Are the Benefits of AI Clear?

Don’t believe all the negative headlines about the lack of ROI for artificial intelligence. We’ve got proof that taking a purpose-built approach to AI actually delivers value—but it all comes down to your strategy.

However, some statistics should cause pause. According to PEX, companies wasted $6.2 billion on AI projects that failed to deliver ROI in 2024, and RAND Corporation reported that 80% of AI projects fail. The silver lining comes from a Gartner survey that found 45% of leaders at organizations with high AI maturity will have their AI initiatives remain in production for three or more years.

ABBYY has always been an AI-first company and has more than 35 years’ experience developing document-centric and process-optimizing AI. We’re committed to driving measurable outcomes with our purpose-built AI solutions, which we highlighted at our global events this year. From ABBYY AI Summits in Vienna, London, and Austin, to the AI Pulse by ABBYY Developers Conference in Bengaluru, we shared how customers leveraged ABBYY Document AI and Process AI to improve operational efficiencies and customer experiences. Here are a few examples.

ABBYY customer results shed light on what’s possible with purpose-built AI

In Vienna, we addressed hype with generative AI pilots and whether the technology was better, easier, and cheaper to use than OCR or more advanced intelligent document processing solutions. Short answer: no. Forbes reported that 90% of gen AI projects did not move into production. The real solution is to use AI that is purpose-built for business processes. This was exemplified by the Carlsberg Group, which now saves more than 140 hours per month and achieves 92% touchless processing using ABBYY in their order-to-delivery processes. ABBYY helped Carlsberg deliver their brews to market faster by reducing the need for checking and entering order information manually into their system.

While large language models (LLMs) aren’t a one-size fits all solution for enterprise challenges, their efficacy can be significantly improved when powered by purpose-built AI. The benefits of combining an LLM with ABBYY were highlighted in London by Lloyds Banking Group. They shared how they built an agentic AI system to achieve collaboration, dynamic tasking, and orchestrated autonomy with the mission of improving customer expectations and experiences.

Specifically for customer onboarding, ABBYY Document AI is used for data extraction and pre-segmentation with key metrics of reducing susceptibility to hallucinations during KYC and decreasing inaccuracies when testing against regulatory compliance standards. The business value was evident: increasing the speed of onboarding and customer satisfaction and ensuring compliance standards are met.

Read more insights from the ABBYY AI Summit London from this recap by Alex Pell, technology editor of The London Standard and chair of London Tech Week 2025.

The power of combining gen AI and Document AI was again illustrated in Austin with the example of a fast-food franchise. The customer has 40,000 locations globally, requiring its headquarters to painstakingly review 30,000 lease agreements annually in multiple file formats and languages to meet new requirements from the Financial Accounting Standards Board (FASB). Despite trying to use gen AI to extract data from more than 350 fields from lease-related documents weekly and input the data into their lease management system, the company only received 60% accuracy. By combining the power of ABBYY AI, the franchise increased accuracy to 82%, resulting in accelerated business processes and smarter decision-making

ABBYY AI Summits were our opportunities to educate customers on the latest AI trends, tools, myths, truths, and outcomes. But we also had the developer community in mind.