5 Use Cases How Generative AI Can Supercharge Document Productivity Across the Enterprise

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Alex Gay, senior director of product marketing, Adobe Document Cloud

Much of today's business can be defined as MORE—more technology, more meetings, more projects, more data, and more documents. With increasing expectations to do more with less, it's a lot for knowledge workers. In fact, according to MIT Sloan, 80 percent of knowledge workers experience information overload and it's affecting productivity. Adobe's Future of Digital Work survey found that knowledge workers spend nearly a full day (8.2 hours) a week just searching for the information they need to do their jobs.

Much of this information is contained in documents such as contracts, financial filings, white papers, sales decks, and research reports. Much of the data (80-90%) in these documents is unstructured, making it particularly difficult to analyze and process. Generative AI offers an incredible new opportunity to empower every knowledge worker to get more value from their documents and work more productively. However, deploying generative AI across an organization quickly, yet in a secure and compliant manner can be a challenge for IT leaders.

Trust has value.

For more than 30 years, the world's largest organizations have trusted Adobe Acrobat with their most important information. When it comes to creative AI, we know that enterprises need technologies that deliver speed in terms of time and address their security and governance needs. That's why we've introduced Acrobat AI Assistant for our enterprise customers, a creative AI-powered conversational engine that can be deployed and deployed quickly and securely. AI assistants can be deployed in minutes—and used by employees in a familiar environment. And because these features only work on user-supplied documents, they are compatible with companies' existing governance processes. We complement LLM technologies with our own IP, which increases the quality and reliability of output and prohibit third-party LLMs from storing, using or training our users' data. And like other Adobe AI features, AI Assistant is developed and deployed in accordance with our AI Code of Ethics.

We introduced AI assistants to our employees and they became early adopters of the technology. It's been exciting to see this faster time to value, as our employees are finding faster ways to do their best work. As a result, a range of use cases have begun to emerge. The following are a few real-world examples of how our teams are using AI to turn document data into actionable insights and free up time for more valuable tasks.

  1. Marketing and Communications: Creating Great Content at Scale

Today's marketing professionals are avid consumers and content creators. They read research reports, white papers, and media coverage to stay up-to-date and then produce an ever-increasing amount of content to keep internal and external audiences informed and engaged. Research shows that 2-4 blog posts a week are optimal for maintaining brand interest – and social channels require even more fresh content.

Employees on our marketing team are saving 5+ hours per week using Acrobat AI Assistant to quickly capture insights and aggregate information across a variety of assets – from executive updates to From blogs to social posts – using clickable references to verify information is accurate

2. Sales: Closing big deals – faster – and nurturing customer relationships

For sales teams to be successful, they need to deeply understand customer pain points, opportunities, and industry trends in order to create personalized pitches to new customers and help existing customers grow their business. Be able to develop customized solutions for

To do this, our sales teams spend a lot of time sifting through complex and lengthy documents like annual reports and 10-Ks for the customer's mission, recent financial performance, risks, roadmaps, and long-term goals. The team began using an AI assistant to summarize the most important points of documents and ask specific questions to inform their pitches. They quickly find and verify details on topics such as security practices and information governance in highly technical documents for customer RFPs, and create content such as email summaries or slide deck summaries for their teams. Also used generative AI for With AI, our sales team can now do the same job in about 4 hours or half the time it normally takes – more prospects and opportunities to work with customers.

3. Finance: Analyze reports and provide timely recommendations.

Adobe's finance team works weekly on tasks such as reading financial statements, earnings and industry reports, summarizing recommendations for internal clients, creating reports and blogs based on their analysis, and creating emails to update colleagues. Spends hours. By leveraging an AI assistant to perform tasks like summarizing earnings highlights, creating first versions of blog posts and draft emails, each employee can save about 7 hours per week and get timely information to stakeholders much faster. Is.

4. Legal: Instantly access the impact of new regulations and save time on compliance.

Our legal teams and compliance officers are charged with tracking and understanding the growing number of new regulations affecting businesses. They also need to communicate key points to executives, which requires distilling complex information and removing legal jargon. AI Assistant is helping Adobe's legal team streamline processes by quickly summarizing rules and regulations, extracting key takeaways, and then automatically formatting them into emails, reports, or slides. is – cutting the time they normally spend in half.

5. Research and Development: Stay on top of industry trends

At Adobe, our investment in R&D drives our innovation and growth. R&D's job is to keep itself and the product teams up-to-date on the latest industry and technology trends. This requires reading and summarizing large amounts of information for sharing with department and cross-functional teams and for inclusion in product requirement documents. Without an AI assistant, each researcher could spend more than 10 hours per week reading and summarizing information. By leveraging creative AI, they've been able to cut it down to just four hours a week.

Generative AI is an incredibly exciting new technology and it's exciting to see it deliver real value for knowledge workers in almost every role, from curiosity. To learn more About Acrobat AI Assistant, visit here.

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