Organizations today are flooded with inbound content such as documents, emails, and images. This information is essential to business operations but remains difficult to access and act on efficiently. While AI has long been an integral part of intelligent document processing (IDP), recent advances in large language models (LLMs) and agentic AI are redefining what is possible. The focus has shifted from basic automation to intelligent orchestration, where systems not only extract and classify information but also reason over it, validate it, and trigger downstream actions. As a result, IDP is becoming a key enabler of end-to-end process automation.

OpenText intelligent document processing solutions are designed for this new era of automation. They combine traditional AI and LLMs with deep integration into enterprise systems to deliver intelligent end-to-end process automation. From capture and classification to validation and orchestration, OpenText IDP solutions help organizations accelerate decision-making, improve compliance, and reduce manual effort. With flexible deployment options across cloud, hybrid, and on-premises environments, and deep integrations with SAP and Salesforce, OpenText enables customers to unlock the full value of their information and scale automation across the organization.

OpenText named a leader in information capture and intelligent document processing

We are pleased to announce that OpenText has been named a Star [Leader] in the 2025 Infosource Global Capture & IDP Vendor Matrix. This is the eighth consecutive year that Infosource has ranked OpenText as a leader. This recognition reflects OpenText’s commitment to empower customers to achieve operational efficiency by boosting employee productivity and accelerating business processes at scale.

Ralph Gammon, Senior Analyst for Infosource Software and the primary author of the report shared “The 2025 Capture & IDP Vendor Matrix reflects a market that is rapidly evolving toward intelligent end-to-end automation, powered by large language models and agentic AI. With a broad and integrated portfolio, strong global execution, and clear vision for how intelligent document processing is a key component of enterprise automation, OpenText is at the forefront of the market transformation. Its ability to combine advanced AI with deep expertise in content and process management has helped OpenText maintain its position as a market leader.”

He then added, “As a global market leader, OpenText has established a broad customer and partner network. OpenText’s deep integrations with SAP and Salesforce bring IDP directly into the systems where work happens, making it easier and quicker for customers to replace manual repetitive tasks with end-to-end automation.”

2025 Infosource Global Capture & IDP Software Vendor Matrix Report

An analysis of the market for capture and intelligent document processing solutions, with an assessment of which vendors are rated as Stars, Competitors, Disruptors and Explorers.

The post OpenText Named a Leader in the 2025 Infosource Global Capture & IDP Vendor Matrix appeared first on OpenText Blogs.

Let’s be honest—work isn’t slowing down. Expectations keep rising, inboxes keep filling, and disconnected tools keep piling on. You're asked to move faster, do more, and stay sharp… all while navigating a sea of tabs, systems, and files. 

There’s no shortage of AI tools promising help. But most fall short: too generic, too risky for company data, or simply unreliable.

If you’ve ever thought, "There’s got to be a better way,” you’re not alone.

That’s why we built OpenText™ MyAviator – a secure, enterprise-ready personal AI assistant that actually works for you.

Imagine your workday like this instead...

 With OpenText MyAviator, it’s simple. Upload your documents—reports, transcripts, spreadsheets, anything—and just ask.

“Help me prep for my customer meeting.”
 “Summarize this compliance doc.”
 “Draft a briefing from last week’s call.”

In seconds, you get relevant, actionable answers – minus the AI hallucinations or security risks. No prompt engineering.  No need to cross-check. Just clear results that help you move faster and smarter.

Need to translate a document or redact sensitive info? One click. Too much to read? Generate a podcast and listen on the go.

That means you get more done in less time without the noise, the risk, or the rework. That’s a smarter workday with OpenText MyAviator, designed to make your life easier and your outcomes stronger.

Meet OpenText MyAviator: A personal AI assistant that actually works for you

Most AI tools aren’t built for the enterprise. OpenText MyAviator is.

It’s secure by design, works out of the box with your OpenText products, and is available wherever you work—web or mobile. Just ask in everyday language and let it do the rest:

• Natural language search and summaries
   Ask questions like, “What were last quarter’s SLA violations?” or “Summarize these 10 case files.”
• Cross-format intelligence
   Analyze PDFs, transcripts, spreadsheets, even video files—in any format, in any language.
• Smart meeting support
   Upload transcripts and get instant action items, highlights, and follow-ups.
• Built-in tools that save time
   Redact PII, translate documents, generate FAQs, prep briefings, or convert dense reports into podcasts.

It’s powerful, personal, and built for everyday productivity.

Value you can see (and feel)

Most public AI tools come with more risk than reward. You end up rewriting, double-checking facts, worrying about data privacy, or just abandoning them altogether.

OpenText MyAviator is built differently to meet the needs of real work:

• Works with what you have: Supports all kinds of files and formats, from documents to videos and beyond
• Ready to go: Built-in tools to remove sensitive info, translate, summarize, and transcribe
• Secure and private: Backed by decades of OpenText experience in keeping enterprise data secure and compliant, the AI doesn’t “learn” from your data

 Real productivity for real work

OpenText MyAviator supports knowledge workers across functions:

• A financial analyst can turn spreadsheets into summaries in seconds.
• A customer support lead can auto-generate FAQs from case histories.
• A field engineer can convert equipment manuals into quick-reference guides.
• A legal team can summarize contracts, redact sensitive content, and prep case files—without switching tools.

From project managers to HR, from marketing to compliance, anyone buried in content can use MyAviator to cut through the noise and focus on what matters.

Why now?

The demand to do more in less time isn’t going away and not all AI tools are up to the task. If they can’t fit your workflow, protect your data, or deliver reliable results, they’re just adding noise.

OpenText MyAviator bridges the gap. It helps you:

• Make confident decisions by cutting through the clutter
• Save hours of manual work every week
• Stay compliant with built-in redaction and privacy controls
• Work smarter, wherever work happens

Let’s put AI to work for you

OpenText MyAviator isn’t just another AI add-on. It’s a personal, secure, always-on assistant to help you and your teams work faster, smarter, and more confidently.

Want to see it in action?

Sign up to get OpenText MyAviator access or meet us at OpenText World 2025 to connect with our AI experts and learn how we’re transforming enterprise work – one personal AI assistant at a time.

The post Meet your secure personal AI assistant appeared first on OpenText Blogs.

When you hear “Kennedy Archives,” you might think of classified documents, high-profile investigations, and decades of public scrutiny. However, buried in the thousands of government records—many of which are poorly scanned, redacted, or handwritten—is a valuable case study in modern eDiscovery AI. 

During a live demonstration, OpenText experts showcased how OpenText™ eDiscovery uses artificial intelligence and advanced analytics to make sense of this complex collection—uncovering long-buried connections and illustrating how the same techniques can be used to speed through modern investigations and pretrial discovery.

Deciphering complexity with eDiscovery AI

PDF images filled with smudged typewriter text, blacked-out sections, conflicting narratives, and handwritten margin notes push the limits of traditional review tools.

To tackle these challenges, OpenText experts demonstrated how AI-powered capabilities in OpenText™ eDiscovery help legal teams cut through the noise:

• Use external metadata and interactive timelines to view documents by date and spot communication patterns—powered by tools like OpenText eDiscovery Hypergraph
• Extract text from image-only PDFs using optical character recognition (OCR), then analyze concepts, keyword context, and language detection with built-in tools
• Enrich documents automatically with OpenText Intelligent Classification (Magellan) to identify people, organizations, places, sentiment, PII, and more
• Transcribe audio files for fast search and analysis—so reviewers can surface key people, places, and tone without having to listen to every file
• Leverage OpenText eDiscovery Aviator GenAI to:
  • Summarize concept group labels
  • Generate contextual document summaries (leveraging knowledge beyond the dataset)
  • Rapidly summarize document sets based on a custom prompt or text from an existing document
  • Automatically classify files as Responsive or Non-Responsive with OpenText eDiscovery Aviator Review

These are not hypothetical capabilities—they’re available today and built to help legal teams triage large, messy document sets with speed and precision.

Speed to facts: Then and now

One of the more striking moments in the session came when the solution expert used a single letter from a key figure in the Kennedy investigation as the foundation for an entire line of inquiry.

Using predictive search, related documents were identified based on tone, content, and context—not just keywords. Results included documents with conflicting timelines, correspondence with emotionally charged language, and even information that appeared unrelated at first glance but actually revealed deeper thematic connections.

That same “speed to facts” is what legal teams need today. Whether reviewing 1,000 or 1 million documents, AI can help legal teams and investigators to identify key players and individuals much earlier in the process, spotlight inconsistencies, and even track sentiment shifts over time.

Lessons for today’s legal teams

• The Kennedy Archives are messy, inconsistent, and full of ambiguity—just like real-world data sets legal teams deal with today. 

• Tools that can handle incomplete, redacted, or poorly formatted material give investigators more confidence and control from the outset. 

• OpenText eDiscovery’s AI capabilities—especially concept clustering, entity extraction, and intelligent summarization—translate directly to corporate and regulatory matters. 

• Whether you’re looking for a smoking gun or trying to piece together intent, GenAI can help reduce blind spots and sharpen your strategy. 

eDiscovery AI tools enable teams to go beyond the obvious by leveraging intelligent data classification and visual communication analysis, which reveal subtle patterns and insights often missed by older systems.

Ultimately, the lessons from this case study translate directly to today’s legal challenges—helping teams apply these insights and proven AI-driven techniques to navigate even the most voluminous, ambiguous, or fragmented document sets with greater precision and strategic clarity.

Watch the full webinar to see how OpenText eDiscovery AI uncovered insights in the Kennedy Archives—and how those same techniques apply to your next matter.

Learn more about eDiscovery

The post From noise to knowledge: eDiscovery AI making sense of the Kennedy Archives appeared first on OpenText Blogs.

OpenText™ Capture (Intelligent Capture), which includes machine learning (ML) and artificial intelligence (AI) technologies, provides omnichannel capture of digitized paper documents and native digital documents to extract content and route information efficiently and securely to the right users and systems in the organization.

June 2025: What’s new in OpenText Capture CE 25.2

Complex backgrounds and mobile images

• Expand the actionable data available and improve accuracy with enhanced processing of mobile-captured images and inbound documents that have complex and colorful backgrounds.
• Reduce manual validation and empower continuous machine learning with the additional extracted data.

For more information about OpenText CE 25.2, check out the release notes on OpenText MySupport.

December 2024: What’s new in OpenText Capture CE 24.4

Increase admin efficiency with large language models (LLM)-created profiles 

• Benefit from LLMs without your data being used to train the models, whether you upload a blank or completed sample document  

• Save time and reduce the need for experts by eliminating the need for administrators to manually create the profiles used by continuous machine learning (CML). 

• Automatically identify and label key data fields using Google Vertex AI to configure CML.  
   
  Note: This capability requires a Google Vertex subscription.

Expand extracted data with use-case specific LLM  

• Automatically identify, extract, and process critical information from structured or semi-structured documents using advanced language models like Robustly Optimized BERT Approach (RoBERTa). 

• Extract specific fields and values as defined for targeted use cases, to increase accuracy from documents such as invoices.  

Modernize with new human-in-the-loop web UI 

• Boost productivity of remote and hybrid employees with responsive web-based UI for configuration and validation. 

• Keep your brand in front of users with no-code configuration to customize the header with your 
  company name and logo.  

• Embed capture in line-of-business web apps. 

Advanced Cloud OCR with Microsoft^® Azure Read OCR 

• Expand the document types and fields that can be processed by Advanced Recognition. 

• Extract actionable data from unconstrained handprint, cursive, and low-quality mobile images with new built-in integration with Microsoft^® Azure Read OCR.  

For more information about OpenText Capture CE 24.4, check out the release notes on OpenText My Support. 

January 2024: What’s new in OpenText Intelligent Capture CE 24.1 

Ingest image formats from mobile devices 

• Process mobile images faster with automated conversion of HEIF, HEIC, and 64-bit PNG images into TIFF images 
• Automatically extract data from HEIF, HEIC, and 64-bit PNG images, often received in emails and as documents 

For more information about OpenText Intelligent Capture CE 24.1, check out the release notes on OpenText My Support. 

October 2023: What's new in OpenText Intelligent Capture CE 23.4

Extract accurate checkbox data automatically with continuous machine learning

• Accelerate business processes by leveraging AI for data accuracy from structured forms

Expanded Integration with Microsoft

• Ingest email content from M365 Outlook by directly connecting inbox folders using Microsoft Graph protocol.

Manage secure connections

• Set up a secure SFTP connection with the new option to use SSH keys for export.

For more information about OpenText CE 23.4, check out the release notes on OpenText My Support.

July 2023: What’s new in OpenText Intelligent Capture CE 23.3

Updated audit logs and admin reports

• Support compliance with new exportable detailed audit logs and admin reports that help verify the “who” and “what happened” related to captured information and extracted data.

Arabic support: capture and extraction

• To expand the documents that can be classified and extracted, Arabic is supported, including the creation of text-searchable PDF files and document classification/data extraction.

For more information about OpenText CE 23.3, check out the release notes on OpenText My Support.

April 2023: What’s new in OpenText Intelligent Capture CE 23.2 

Smart document classification using continuous ML and NLP 

• Increase document separation and classification accuracy with two new continuous machine learning models for document separation and NLP-based document classification. 

Postal address recognition using continuous ML 

• Process documents faster with new continuous machine learning for postal addresses that automatically selects the correct address when multiple addresses are in a document. 

View fuzzy search alternatives in the human-in-the-loop UI 

• Reduce the need to consult other applications when matching against a database that includes multiple entries that are nearly identical. The new Enable Alternatives setting for the SnapMatch capability will show not only the best match, but also the next best matches for user consideration.  

For more information about OpenText Intelligent Capture CE 23.1, check out the release notes on OpenText My Support. 

February 2023: What’s new in OpenText Intelligent Capture CE 23.1

Natural language processing for unstructured content   

• Built-in integration with Magellan Text Mining automatically extracts named entities, such as people, organizations and locations, and creates content summaries with less time spent on data entry and IT customization. 

Expanded Integration with Extended ECM and Documentum 

• New workspaces can be created in OpenText™ Extended ECM when documents are exported from Intelligent Capture.  
• OpenText™ Documentum™ D2 native workflows can be set up directly through the Intelligent Capture REST-based exporter  

For more information about OpenText Intelligent Capture CE 23.1, check out the release notes on OpenText My Support. 

October 2022: What’s new in OpenText Intelligent Capture CE 22.4  

Enhancements to Advanced Cloud OCR integration 

Organizations that use the product’s Advanced Cloud OCR capability can improve OCR accuracy and regional data privacy compliance by specifying the content’s language and the required region for data residency.  

Information extraction for intelligent automation 

Business users will save time with the new capability that uses machine learning to automatically extract postal addresses. This update supports many EU and North American country formats.  

Integration to Documentum with REST Services 

Organizations with the OpenText™ Documentum™ D2 UI or Documentum xCP can securely export captured content from Intelligent Capture to Documentum through a new REST-based exporter. Integration with REST services is key for modern data centers and cloud implementations of Documentum.    

For more information about OpenText Intelligent Capture CE 22.4, check out the release notes on OpenText My Support. 

November: 2021: What's new in OpenText Intelligent Capture CE 21.4

OpenText Intelligent Capture (formerly Captiva) Cloud Edition (CE) 21.4 highlights OpenText's commitment to build more machine learning, native cloud and advanced automation capabilities into a market-leading capture platform. As capture is the starting point of ECM and ERP solutions, being able to automatically ingest incoming documents and data provides organizations with an immediate and demonstrable return on their investment. The CE 21.4 release includes three powerful new capabilities:  

Information Extraction Engine (IEE) machine learning 

OpenText Intelligent Capture now includes OpenText™ Information Extraction Engine (IEE), a proven third-generation machine learning engine, which drastically reduces set-up time. It has the ability to recognize and learn new incoming document types and auto-classify and extract data from these documents (as well as variations of those documents,) significantly reducing the need for manual set-up and sorting.  

Although Intelligent Capture has utilized machine learning, such as Production Auto-learning (PAL) for nearly a decade, the addition of IEE has many partners and end users delighted. They anticipate major cost savings by being able to automatically recognize and learn new document types without the need to manually identify new documents and variations via scripting or configuration.  Improved recognition results begin immediately and IEE never stops learning and improving! 

Containerization for the REST subsystem   

In addition, Docker container support for Real-Time/ REST subsystem and Web Client has been added to simplify software deployments, scaling and upgrades.  Intelligent Capture 21.4 also includes Advanced Cloud OCR (separately licensed) that provides excellent results on handwritten and cursive text, documents with challenging backgrounds and documents captured on cell phones.   

New integrations for Advanced Cloud OCR and OpenText™ Magellan 

OpenText™ Magellan™ Text Mining sentiment analysis (also separately licensed) is now seamlessly integrated into IEE and uses Natural Language Processing (NLP) and can provide document-level insights: positive, negative, or neutral.

June 2020: What’s new in OpenText Intelligent Capture Cloud Edition (CE) 20.2

OpenText™ Intelligent Capture (formerly Captiva) Cloud Edition (CE) 20.2 continues to deliver innovation in automating manual processes, enhanced user interfaces (UIs) for increased user productivity and integration directly with OpenText™ Extended ECM.

The Intelligent Capture Web Client has been significantly enhanced in CE 20.2 to include powerful new automation capabilities and an updated, ergonomic and intuitive UI for remote users to accomplish more with less manual sorting and fewer keystrokes.

These significant automation and UI updates are made specifically for the Web Client, enabling field and home workers to process more documents with fewer manual steps. These enhancements include Single-Click Entry, Auto-table complete and On-Image Navigation.

July 2019: What’s new in OpenText Intelligent Capture

July 2019: Introducing OpenText Intelligent Capture

The post What’s new in OpenText Capture appeared first on OpenText Blogs.

It’s a foregone conclusion that for an organization to become limitless it must embrace innovation. The two go hand in hand; it’s hard to imagine you can remove barriers and achieve your business goals without innovative technology paving the way.

Companies of all kinds are facing immense pressure to innovate and stay ahead of the competition. Many are looking to AI, not only because of its own capabilities but also as an enabler for other technologies to deliver advanced benefits.

AI as a force multiplier

By integrating AI with existing technologies, organizations can unlock new possibilities that were previously unattainable. For instance:

• Adding AI to traditional threat detection tools enhances them to automatically and continuously learn with rapid deployment—allowing new threat detection models to be in place within hours to protect from new and evolving threats.
• A secure AI assistant integrated with content management puts chat-based conversational search, content discovery, summarization, and translation right at employees’ fingertips to boost productivity.
• Integrating AI into DevOps optimizes the software delivery lifecycle by helping predict software delivery times, automating software testing, and simplifying QA and testing.
  

Agentic AI

AI innovation continues at a breakneck speed. Next up is agentic AI.

Agentic AI can perform tasks, make decisions, and solve problems without human intervention. One example of how agentic AI delivers benefits is with customer experience applications—by understanding and anticipating customer needs with a high degree of accuracy. For instance, an agentic AI system could analyze customer data and autonomously manage account issues, such as adjusting subscription plans or resolving billing disputes after assessing user preferences and historical interactions.

By reducing the reliance on human agents for routine tasks, agentic AI helps businesses enhance operational efficiency and significantly improve response times. And as these systems learn and evolve, their capabilities will only get better.

Partner to innovate

When it comes to innovation driving organizations forward, there’s no limit. The challenge is keeping up—how do you create a roadmap for innovation when technology moves so quickly? A trusted partner is the answer.

According to a recent survey conducted by Foundry,[i] respondents said the most important benefits they look for from a strategic partner to help them navigate AI and information management are to provide integration capabilities (52%), tools to classify and enrich information for AI (51%), and strong information security (48%).

At OpenText, we’ve spent more than 35 years creating information management solutions that build digital platforms for knowledge workers. Today, we’re helping our customers create the digital knowledge worker of the future, a future that isn’t just digital—it’s limitless.

[i] Foundry survey commissioned by OpenText, Information Management for an AI-Driven Future, June, 2025
 

Read more blogs from the Limitless series:

Limitless: What it means for modern customers in an AI-first world

Limitless: What it means for productivity

Limitless: What it means for integration

Limitless: What it means for peace of mind

The post Limitless: What it means for innovation appeared first on OpenText Blogs.

One of the biggest challenges holding organizations back from becoming limitless is a lack of security. While there’s no such thing as 100% secure, companies need confidence in their security posture and risk level to move forward and reach their goals.

Security concerns have been topping IT leaders’ lists of troubles for years, and that’s not changing any time soon. In a recent survey conducted by Foundry,[i] security and compliance risk topped the list of information management challenges (44% among respondents). And 37% named enhancing security as a top-three IT priority for the next 12 months.

AI and security

This is a main reason why, along with boosting productivity, improving security is one of the most anticipated benefits of AI.
AI-driven security’s time has come, as threat detection grows more challenging every day. While traditional security approaches do a good job of catching existing threats, such as known malware, the creativity and sophistication of today’s threats require a more proactive approach. Whether it’s external bad actors attempting to infiltrate your network, internal bad actors who are already doing damage, or well-meaning users who accidentally expose a weakness, the human element grows more challenging to defend and requires companies to up the ante.

AI is well suited for such tasks. With AI you can more readily catch those who misuse permissions to infiltrate your internal systems and cause harm or detect anomalous behavior that could be a sign of an impending threat. And as global business dictates that data must travel across different geographies with varying regulations and standards for data protection, AI can also give companies an edge. It can analyze patterns across diverse and global data flows, providing real-time security information that transcends boundaries.

The security of AI

While AI is helping make organizations more secure, it’s also making them more vulnerable in new ways.

For instance, attackers can use AI tools to automate cyberattacks, making them faster and more effective. These AI-driven attacks can analyze network defenses in real-time, quickly identifying vulnerabilities that can be exploited. AI can be used to create deepfakes that deceive individuals or even systems into providing sensitive information. Phishing attacks can be enhanced by AI, generating highly personalized and convincing messages that are much harder for users to identify as scams.

So how do you reap the benefits that AI can deliver to your security strategy while protecting your organization from threats? Information management solutions and practices can help by implementing robust access controls, data classification, enhanced threat detection, and compliance management. When you know your information is well managed, governed, and protected, you can use AI with confidence. That’s peace of mind.

[i] Foundry survey commissioned by OpenText, Information Management for an AI-Driven Future, June, 2025

Read more blogs from the Limitless series:

Limitless: What it means for modern customers in an AI-first world

Limitless: What it means for productivity

Limitless: What it means for innovation

Limitless: What it means for integration

The post Limitless: What it means for peace of mind appeared first on OpenText Blogs.

The word “limitless” isn’t just a tagline—it’s a promise. A promise that technology, when thoughtfully applied, can remove the barriers that once held businesses back. For customers, “limitless” means more than speed or scale. It means possibility. It means potential. It means power—reimagined.

At its core, being limitless is about empowering people to do more than they ever thought possible. It’s about giving every employee a digital teammate: a digital knowledge worker that automates tasks and amplifies human capability. These AI-powered assistants don’t replace people—they elevate them. They summarize complex documents in seconds, organize meeting notes, surface insights from oceans of data, and even anticipate what’s needed next. They are always on, always learning, and always ready to help.

This is the new way to work. And it’s already here.

Free up teams with AI

Customers who embrace this shift are seeing real results. They’re using agentic AI to automate workflows, offload repetitive tasks, and accelerate decision-making. They’re freeing up their teams to focus on what matters most: creativity, strategy, and innovation. In doing so, they’re not just working faster—they’re working smarter.

But limitless isn’t just about what AI can do. It’s about what customers can become when they trust their information is secure, governed, and accessible. That’s why information management is the foundation of the limitless digital workforce. When data is centralized, connected, and protected, AI can be applied with confidence. Insights flow freely. Decisions get sharper. And transformation becomes inevitable.

The numbers back it up. According to recent research[i], 77% of organizations are already using AI in some form—and those with mature implementations are seeing measurable gains in customer experience, IT performance, and productivity. These early adopters aren’t just ahead of the curve—they’re redefining it.

Create the digital knowledge worker

So what does “limitless” mean for your business?

It means reimagining your workforce—not as a collection of roles, but as a dynamic ecosystem of human and digital collaborators. It means giving every department—from sales and support to HR and finance—the tools to move faster, think bigger, and deliver more. It means turning information into action, and action into advantage.

It means your company, your potential—limitless.

At OpenText, we’ve spent over 35 years building the digital platform for knowledge workers. Today, we’re helping our customers create the digital knowledge worker of the future. Because we believe technology should always elevate human potential. And we believe the future of work isn’t just digital—it’s limitless.

[i] Foundry MarketPlace survey commissioned by OpenText, Information Management for an AI-Driven Future, June, 2025

Read more blogs from the Limitless series:

Limitless: What it means for productivity

Limitless: What it means for innovation

Limitless: What it means for integration

Limitless: What it means for peace of mind

The post Limitless: What it means for modern customers in an AI-first world appeared first on OpenText Blogs.

In the business world, becoming limitless means empowering people to do more than they ever thought possible. It means elevating human potential and finding new ways to work that are more creative, strategic, and rewarding.

To become limitless, you must first improve productivity, so more work gets done in less time. With the extra time, employees have the freedom to think big thoughts that eventually break down barriers and move your business forward.

But that doesn’t mean working harder, it means working smarter.

Start with AI

AI is the driving force behind being limitless, and greater productivity is its most sought-after advantage. According to a recent survey by Foundry Research, improved productivity was the benefit of AI most often cited by respondents.[i]  And that benefit grows over time; 69% of AI users among the survey’s respondents said they could strongly attribute productivity gains to modern information and automation technologies, including AI. That number jumps to 78% among mature AI users.

AI significantly boosts productivity by helping companies operate more efficiently and make smarter decisions. By analyzing vast amounts of data in real time, AI provides insights to help identify areas for improvement. For instance, AI algorithms can optimize supply chains by predicting demand, allowing companies to maintain the right inventory levels and reduce waste. AI tools can streamline processes by automating workflows while minimizing errors and accelerating response times. This increased efficiency reduces costs and frees you to focus resources on growth and innovation.

Empower employees

As productivity increases with AI adoption, workers gain back valuable time that can be redirected toward more meaningful and impactful activities. Instead of being bogged down by repetitive tasks, employees can engage in creative problem-solving, brainstorming sessions, and innovation processes that drive the business forward.

For example, employees can focus on building stronger relationships with clients, enhancing collaboration among team members, and pursuing professional development opportunities. And so, greater productivity brings other benefits to organizations—helping improve job satisfaction and morale and fostering an environment of growth and innovation.

Empowered employees are more motivated and invested in their work, which contributes to a more dynamic and competitive organization. This empowerment encourages creativity and collaboration, as employees have the time and mental space to think critically and engage with their colleagues.

When workers are engaged in their tasks and feel valued for their contributions, they are more likely to invest in the success of the company and foster a culture of continuous improvement and innovation.

[i] Foundry MarketPulse survey commissioned by OpenText, Information Management for an AI-Driven Future, June, 2025.

Read more blogs from the Limitless series:

Limitless: What it means for modern customers in an AI-first world

Limitless: What it means for innovation

Limitless: What it means for integration

Limitless: What it means for peace of mind

The post Limitless: What it means for productivity appeared first on OpenText Blogs.

Limitless organizations know that taking advantage of innovative technologies can help them remove barriers and drive their business forward. These technologies open up possibilities by providing the tools to make smarter decisions, take quick action, and unleash human potential.

One common obstacle that companies face on their way to becoming limitless is integrating their data. AI can’t live up to its promises if the data it’s being applied to is spread over disperse systems, in different formats, or is out of date, not secure, or incomplete. Keeping important corporate information in unconnected data silos contributes to the problem.

It’s time for a data cloud

One way to bring all that information together is with a data cloud. This unified, centralized platform manages and connects data from various sources within an organization, making it easier to access, query, and transform information into actionable insights. A data cloud aims to eliminate data silos and fragmentation, providing a single source of truth across different platforms and departments. Unlike traditional clouds that can encompass computing power, development environments, and application services, a data cloud specifically focuses on the management, storage, and analysis of data.

The use of data clouds is on the rise. According to a recent survey conducted by Enterprise Strategy Group, 63% of respondents said they are using data clouds today. And the majority of respondents say data clouds will help them solve their most pressing problems, including compliance and governance (76%), high operational costs (74%), data complexity and fragmentation (72%), and data quality issues (68%).[i]

Data clouds allow businesses to store, manage, and access vast amounts of data from anywhere, providing a centralized hub for information. Companies can ensure their data is organized and readily available. And, being a cloud, the solution can scale as you grow your data capacity without significant infrastructure investments.

Data clouds and AI

Perhaps most significant today is the role data clouds play in successful AI strategies to help companies get the most out of their data. By unifying data from various sources, data clouds help AI see the big picture to better understand complex scenarios, improve accuracy, and deliver personalized experiences. 

A unified data cloud helps AI understand the context and nuances of each task, leading to more accurate predictions and decisions. It also provides the infrastructure for efficient AI model training, validation, and testing. And a data cloud can provide agentic AI with dynamic, live information, enabling it to optimize workflows, respond to customer needs, and identify risks in real time.

When you’re confident that your data is integrated, secure, and accessible, the sky’s the limit. Information management solutions from OpenText can help you get there.

[i] Enterprise Strategy Group survey commissioned by OpenText, Investigating the Imperative to Reimagine Information Management, May 2025

Read more blogs from the Limitless series:

Limitless: What it means for the modern customers in an AI-first world

Limitless: What it means for productivity

Limitless: What it means for innovation

Limitless: What it means for peace of mind

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In an era defined by digital transformation, organizations generate and store more data than ever before. From sensitive customer records to proprietary business strategies, data is at the heart of nearly every operation. But with this explosion of digital information comes increased risk—both from external threats and internal mismanagement. That’s where the intersection of Digital Forensics and Incident Response (DFIR) and information management becomes crucial.

While often viewed as separate disciplines, DFIR and information management share a common goal: protecting and making sense of data. When used together, they create a powerful synergy that enhances not just cybersecurity posture, but also business continuity, regulatory compliance, and operational efficiency.

The core roles of DFIR and information management

Information management is the systematic organization, storage, governance, and retrieval of data throughout its lifecycle. It ensures that information is accurate, accessible, and protected in accordance with policies and regulations.

Digital Forensics and Incident Response (DFIR), on the other hand, focuses on identifying, investigating, and responding to cyber incidents. It involves collecting digital evidence, analyzing activity, and mitigating damage after a breach or malicious event occurs.

DFIR may seem like a reactive, technical function, while information management appears proactive and operational. But in practice, they overlap in meaningful ways especially when data integrity, visibility, and governance are at stake.

DFIR as a data intelligence tool

One of the often-overlooked benefits of DFIR is the deep visibility it provides into an organization’s digital environment. During an investigation, DFIR tools comb through vast amounts of structured and unstructured data—emails, logs, cloud storage, endpoint activity—to reconstruct what happened and why.

This investigative process, though born out of necessity, often reveals gaps in data governance, inconsistencies in retention policies, or unauthorized data access. In other words, DFIR shines a light on the quality of your information management. It answers questions like:

Where is sensitive data stored, and who has accessed it?

Are users following data retention and deletion policies?

Has information been altered, moved, or exfiltrated without authorization?

In this way, DFIR solutions don’t just detect threats, they expose inefficiencies and risks in how data is handled.

Strengthening information governance with DFIR insights

When integrated with a broader information management strategy, DFIR can help organizations:

1. Identify high-risk data repositories

DFIR investigations often uncover shadow IT, forgotten file shares, or poorly secured data repositories. These insights help information managers prioritize remediation and improve access controls.

2. Improve data classification

Understanding what data attackers targeted during an incident can guide better classification efforts. If attackers consistently go after a specific type of document or database, that information is likely more sensitive than previously assessed.

3. Support regulatory compliance

Many regulations—such as GDPR, HIPAA, and CCPA—require both strong data management and breach response capabilities. DFIR tools provide the forensic evidence needed to demonstrate compliance in the aftermath of an incident, while also informing better data governance practices to prevent future violations.

4. Reduce data sprawl

DFIR solutions often find stale, duplicated, or orphaned data that poses security risks. Working with information management teams, organizations can use these findings to streamline data storage, reduce surface area for attack, and align with retention policies.

DFIR and the information lifecycle

Information management follows a lifecycle: creation, use, storage, archiving, and disposal. DFIR intersects every phase of that lifecycle:

Creation & use: DFIR tools detect policy violations or misuse of sensitive information.

Storage: DFIR investigations may highlight insecure or non-compliant storage practices.

Archiving & disposal: Evidence of improper deletion or retention uncovered during forensic review can guide better enforcement of retention schedules.

By integrating DFIR into the information lifecycle, organizations ensure that data is not just well-managed but also defensible and resilient.

Conclusion

DFIR is no longer just a cybersecurity emergency response function. It’s a critical partner to information management—providing insights that enhance governance, reduce risk, and strengthen compliance. Together, DFIR and information management form a powerful alliance that ensures data is both protected and purposeful.

OpenText plays a central and strategic role in information management, helping organizations capture, govern, access, and secure information across its entire lifecycle—from creation to disposition. As one of the world’s leading providers of Enterprise Information Management (EIM) solutions, OpenText enables businesses to harness the power of their data, ensure compliance, improve productivity, and mitigate risks.

OpenText’s Digital Forensics and Incident Response (DFIR) solutions effectively investigation cyber attacks, aligning seamlessly with OpenText’s long-standing expertise in Information Management by bridging two essential but often siloed areas: defending information and managing information. Together, these capabilities create a unified strategy for securing, governing, and extracting value from data—before, during, and after a cyber incident.

In a world where information is an organization’s most valuable asset—and its biggest liability—the ability to manage and defend that information is more important than ever.

Learn more about OpenText Digital Forensics and Incident Response solutions.

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