How Artificial Intelligence Will Shape Document Management
Fact: AI is here to stay. It’s revolutionized nearly every industry, from healthcare to finance. The question on everyone’s mind is how pervasively artificial intelligence will impact the future.
Many independent software vendors have adopted AI-powered document processing and management. Those who haven’t will face mounting pressure from clients demanding features like enhanced document summarization and PII detection. The benefits are clear—AI-powered document management reduces manual work and human errors, speeding up document processing.
AI Trends to Watch for in 2025
So what exactly can we expect from AI in 2025? Accusoft remains at the forefront of the AI revolution, and we’ve been keeping a close eye on what’s ahead. Here are our top predictions for this year and beyond.
1. Agentic AI
Agentic AI is a term used to describe autonomous artificial intelligence systems. These systems can independently achieve goals with little human supervision. Unlike traditional AI models, which respond to prompts or perform predefined tasks, agentic AI has greater autonomy. AI agents can make decisions and learn from experiences without human intervention.
The potential business benefits are massive. PwC estimates that agentic AI could contribute between US$2.6 trillion and US$4.4 trillion annually to global GDP by 2030. Agentic AI allows companies to break down complex tasks into more manageable steps. By optimizing complex workflows and reducing operational costs, AI agents can significantly boost a company’s revenue potential and profit margins.
Agentic AI also unlocks greater potential for AI-powered document management. It reduces processing time from hours or days to minutes (even seconds) per document, with accuracy rates of 95-99%. AI agents can verify information and extract relevant data automatically, which means greater productivity and fewer errors.
Companies like Microsoft have created autonomous agents to handle specialized tasks. Collaborating with AI assistants across other tools including CRMs, they can execute complex workflows that might bog down human teams.
Prediction
Agentic AI will streamline (not negate) human influence, becoming an essential tool for businesses aiming to stay competitive in the market. Some scenarios will still require human agents for specialized knowledge or judgment.
2. Intelligent Document Processing (IDP)
AI-powered intelligent document processing is already incredibly sophisticated. Natural Language Processing, or NLP, has transformed how businesses manage, process, and secure content. As conversational search capabilities have become more advanced, users can interact with search tools using natural language queries instead of keywords. Smart, AI-powered semantic search decodes not only the query but also the context and meaning behind it.
When users can search like they speak, finding the documents they need is easier and more efficient. NPL algorithms analyze document content to automatically assign relevant tags and categories. This cuts down on the time a user spends searching documents to find the information they need.
File types and formats are also becoming increasingly complex. Take the legal e-discovery process, for example. A legal team might encounter PDF files, JPG or PNG files of photographs or scanned documents, and other text documents like DOCX files and RTFs. Reviewing and collaborating on these files is critical.
Without the right document processing and management capabilities, companies lose hours of productive time and risk security issues. They need the flexibility to upload, organize, and classify documents without reprogramming to accommodate new file types.
The NLP industry reported nearly 22% industry growth last year. Experts predict that with advancements in text-to-speech, explainable AI, and data labeling, the industry will continue to grow in 2025.
Prediction
IDP will become fundamental to business operations, particularly for companies that handle large volumes of documents. NLP will continue to simplify document searches as AI better understands the nuances of language.
As businesses adopt these technologies, we’ll see a transformation in how organizations manage, process, and secure their content. This will pave the way for improved productivity and decision-making.
3. Cybersecurity
Security remains a top concern for companies as they integrate AI into their business processes. AI’s rapid growth across industries has led to a significant increase in the cybersecurity resources to secure them. This year, organizations will increase their spending on application and data security by more than 15% to address the security challenges of AI.
Many IDP tools have implemented advanced features to address cybersecurity threats. This includes encryption, access controls, and blockchain technology. Companies have seen firsthand what can happen when security goes unchecked—sensitive information in documents is accidentally exposed, unauthorized users access sensitive data, and improper data handling leads to thorny legal issues.
Prediction
Security is a critical factor for companies as they embrace new AI technologies. Companies must carefully vet any new third-party AI tools before implementing them. As this happens, human oversight will be key to ensuring compliance and data privacy.
4. Predictive Analytics
By the end of 2025, predictive analytics will be a fundamental part of strategic decision-making. Companies will turn to AI to help them make more informed decisions and forecast with greater accuracy. With advanced algorithms at their fingertips, companies have the power to analyze massive amounts of data to reveal patterns and insights.
When it comes to document processing and management, predictive analytics is poised to become a crystal ball for trends and behaviors. AI-powered predictive analytics can anticipate which documents users need before they ask for them and automatically reorganize databases by usage patterns for faster document retrieval.
Predictive analytics can also help refine how data is automatically classified and extracted from documents, even complex formats like scanned images and PDFs.
Prediction
Predictive analytics powered by AI will revolutionize how companies make decisions. As AI technologies advance, we expect to see more accurate predictive models that process vast amounts of unstructured data in real time. These models will likely evolve to offer more personalized, context-aware solutions.
AI Challenges of 2025
Many companies get hung up on the integration and scalability aspects of AI-powered technology. These technologies often require significant changes to their infrastructure, and the process can be costly and time-consuming, especially for internal development teams. Ninety percent of buyers surveyed in the B2B Tech Buying Behavior Report said a vendor’s ability to integrate with their existing technology impacts their decision to shortlist a vendor.
Cybersecurity is also a major consideration. Since AI systems are a prime target for attacks, regular security patches are essential. Failure to promptly apply security patches can significantly increase the risk of data breaches. Securing AI technologies is a costly endeavor that requires dedicated time and resources.
Accuracy is another potential hurdle. AI systems are only as good as their training data. If AI-powered solutions aren’t constantly monitored and maintained, they can become obsolete. There’s also a major risk of over-reliance on AI. Implementing an AI-powered solution into your application requires a careful balance between autonomy and human oversight.
Accusoft is keeping a pulse on cutting-edge AI technologies in document management. We’re reimagining how AI can help ISVs and developers maintain a competitive advantage.
Ready to see how watson.ai technology transformed our flagship product? Check out an online demo of PrizmDoc or schedule a call with our sales team!
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