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The ‘Man, Machine, Mandate’ Advantage: Human-Centric Automation with Pericent

The ‘Man, Machine, Mandate’ Advantage: Human-Centric Automation with Pericent

In an era where automation is reshaping industries, enterprise success hinges not just on digitizing workflows, but on doing so with people, technology, and purpose in balance. The ‘Man, Machine, Mandate’ framework offers a strategic lens for leaders to align human talent, intelligent automation, and governance. Pericent’s bpmEdge BPMS exemplifies this human-centric model—enabling organizations to enhance performance while safeguarding experience and compliance. This article explores how Pericent operationalizes this triad to power next-generation transformation.

The Automation Mandate: Beyond Efficiency

According to a McKinsey Global Survey, 70% of companies are at least piloting automation technologies, but only 30% are achieving transformative impact. The difference lies in execution—particularly in aligning automation with human workflows and enterprise goals.

Key shifts:

  • From task automation to end-to-end orchestration
  • From efficiency-first to experience-first automation
  • From isolated tools to intelligent, integrated platforms

Pericent’s bpmEdge BPMS responds to these shifts by embedding automation into human-centric design and governance at scale.

Decoding the ‘Man, Machine, Mandate’ Model with Pericent

1. Man: Amplifying Human Potential                                                                                   

Pericent’s platform supports:

  • Role-based routing and dynamic work allocation to elevate decision-making roles.
  • Citizen development via no-code interfaces, empowering business users to innovate without IT bottlenecks.
  • Adaptive case management that complements human judgment in non-linear workflows—essential in industries like BFSI and healthcare.

Example: A microfinance firm used Pericent to shift manual loan assessments to semi-automated workflows, freeing up staff for complex customer engagement.

2. Machine: Engineering Smart Automation                                   

bpmEdge BPMS integrates:

  • AI/ML for intelligent routing, data validation, and sentiment analysis.
  • RPA connectors to automate repetitive backend tasks.
  • Rule engines and decision matrices to codify institutional logic—ensuring machine consistency while remaining auditable.

With simulation, testing, and versioning built-in, Pericent enables rapid innovation without compromising reliability.

3. Mandate: Governing with Purpose

Governance isn’t an afterthought. Pericent embeds it through:

  • Audit trails, compliance dashboards, and policy versioning for traceability.
  • ISO‑9001 and ISO‑27001 certifications, ensuring data and process integrity.
  • Digital process reengineering aligned to ESG, regulatory, and performance objectives.

This enables leadership to scale automation with confidence—even in highly regulated environments.

Strategic Outcomes from Pericent Deployments

Organizations leveraging Pericent have reported:

  • 30–50% faster process cycle times
  • Higher employee satisfaction, due to reduced drudgery and improved clarity
  • Improved compliance posture via embedded controls and digital visibility

These outcomes underscore the value of a holistic automation approach—not just from a technology lens, but from a strategic business impact standpoint.

The Road Ahead: Human-Centric BPM in 2025 and Beyond

Future-ready enterprises will:

  • Expand citizen development under governance guardrails.
  • Integrate behavioral nudges into automation to guide optimal user actions.
  • Adopt continuous compliance models—automating not just what’s operationally convenient, but also what’s ethically and legally required.

With Pericent’s bpmEdge, businesses are not just automating—they are transforming responsibly, collaboratively, and strategically.

Conclusion: A Blueprint for Sustainable Automation

Pericent’s bpmsEdge enables the ‘Man, Machine, Mandate’ synergy—empowering enterprises to:

  • Augment human roles rather than displace them,
  • Automate intelligently across functions,
  • Govern transformation with strategic intent.

In doing so, it provides a blueprint for sustainable, human-centric automation that delivers enterprise agility, compliance, and long-term value.

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Why 80% of Enterprise Data Is Unstructured (and What to Do About It)

Why 80% of Enterprise Data Is Unstructured (and What to Do About It)

Most organizations are swimming in data—but only a fraction of it is organized. According to IDC, over 80% of enterprise data is unstructured, and the majority of that data lives in documents like PDFs, Word files, emails, scanned images, and even handwritten forms. This presents a fundamental challenge: how can companies make use of data they can’t easily search, analyze, or act upon?

This isn’t just an IT issue; it’s a strategic business concern. Unstructured data holds customer insights, contract details, compliance information, and operational intelligence. If you can’t access or process that information efficiently, you risk falling behind competitors who can. Fortunately, new AI-driven tools offer a solution. Intelligent Document Processing (IDP) combines optical character recognition (OCR), natural language processing (NLP), and machine learning to transform unstructured documents into structured, actionable data.

This post explores what qualifies as unstructured data, the risks of ignoring it, and the technologies that are changing how we work with it. You’ll also learn practical steps to build a document AI strategy that delivers ROI.

What Counts as Unstructured Data?

Unstructured data refers to information that doesn’t fit neatly into rows and columns. Think of everything that can’t be captured in a typical spreadsheet. In most enterprises, this includes documents, images, videos, audio files, social media content, and more.

Documents are by far the largest and most valuable source of unstructured data. Contracts, invoices, reports, email threads, and onboarding documents all contain rich information—but they’re often buried in silos. These files typically come in formats like scanned PDFs, Word files, or image attachments, and lack standardized metadata, making them hard to index.

Beyond documents, unstructured data lives in emails (body content and attachments), customer service transcripts, call recordings, and embedded comments or annotations. Even data extracted from IoT devices can be semi-structured or entirely unstructured.

By identifying and categorizing these types of content, businesses can begin the process of making unstructured data useful.

The Hidden Costs of Ignoring Unstructured Data

Failing to manage unstructured data doesn’t just slow down operations—it introduces real risk. When critical documents are scattered across inboxes or local drives, they become inaccessible or vulnerable to loss. Compliance teams struggle to locate required records, and legal risks increase due to incomplete audit trails.

Operational inefficiency is another consequence. Teams waste hours each week searching for files, copying data manually, or reprocessing documents that were already handled. This introduces costly delays and increases error rates.

Then there’s the missed opportunity cost. Unstructured data contains valuable business intelligence—but only if it can be extracted. Customer feedback buried in emails, performance data hidden in reports, or contract terms locked in PDFs remain untapped unless the right tools are in place.

Ultimately, ignoring unstructured data is like locking your most valuable insights in a vault with no key.

How AI and Document Processing Tools Provide the Answer

AI-powered document processing tools are transforming how enterprises handle unstructured data. These systems use a combination of technologies to unlock insights:

  • OCR: Converts scanned or image-based documents into machine-readable text
  • NLP: Analyzes text to understand context, sentiment, and key entities (like names, dates, amounts)
  • Machine Learning: Learns from patterns to automate classification, extraction, and validation tasks

This trio allows businesses to automatically extract data fields (e.g., invoice numbers, customer names), identify document types, and route files based on content. Some tools even integrate with RPA (robotic process automation) platforms to trigger workflows based on document data.

The result is faster processing, improved accuracy, and reduced manual effort. Importantly, these systems can scale across thousands of documents with minimal human intervention.

By investing in document AI, businesses can convert data bottlenecks into competitive advantages.

Measuring ROI — What to Track

Proving the value of document AI starts with measuring the right metrics. Key performance indicators (KPIs) include:

  • Time Saved: Reduction in manual data entry and document handling time
  • Accuracy Improvement: Decrease in human error rates, especially in regulated industries
  • Compliance Metrics: Ability to meet retention and audit requirements more reliably
  • Cost Reduction: Lower labor costs and faster turnaround times
  • Business Outcomes: Improved customer service, faster onboarding, and more informed decision-making

Dashboards and analytics features in modern IDP tools make it easier to monitor these KPIs in real-time. Over time, organizations can fine-tune their systems to further increase returns.

Steps to Build a Document-AI Strategy

Creating an effective document-AI strategy requires a structured approach:

  1. Audit Existing Content: Identify where unstructured data lives and what formats it takes
  2. Define Use Cases: Focus on high-impact processes like invoice processing, KYC checks, or contract analysis
  3. Choose the Right Tools: Select vendors with capabilities in OCR, NLP, integration, and scalability
  4. Prepare and Label Data: Clean existing documents and label training data to improve model accuracy
  5. Implement and Iterate: Start small, measure results, and expand use cases as the system matures

Engage stakeholders early—from compliance and IT to frontline staff—to ensure adoption and alignment.

Future Trends in Unstructured Data Management

Several trends are reshaping how businesses will manage unstructured data:

  • Generative AI: Capable of summarizing long documents, drafting content, and synthesizing insights
  • Real-Time Processing: Moving beyond batch jobs to live data extraction and response
  • Edge AI: Bringing document intelligence closer to the data source (e.g., in scanners or mobile apps)

These advancements promise to make document AI even more accessible and efficient, especially in industries like healthcare, logistics, and legal services.

Quick Recap & Actionable Takeaways

  • 80% of enterprise data is unstructured, and most of it lives in documents
  • This data presents risk and opportunity, depending on how it’s managed
  • AI-powered tools like OCR, NLP, and ML can automate and scale document processing
  • Tracking time, accuracy, and cost helps prove ROI
  • A phased strategy, aligned with business goals, delivers sustainable value

Unstructured data isn’t going away—but with the right tools, it can become your biggest asset instead of your biggest headache.

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Benefits of Cloud Based Document Management Systems

Benefits of Cloud Based Document Management Systems

In today’s fast-paced, hyper-connected digital world, the way organizations manage documents has undergone a significant transformation. Gone are the days when filing cabinets, physical archives, and local servers dominated office spaces. The modern workplace demands agility, collaboration, accessibility, and security — all of which are seamlessly delivered through Cloud-Based Document Management Systems (DMS).

Whether you’re a small business owner, a legal team, an educational institution, or a multinational corporation, the need for streamlined, secure, and scalable document management is universal. A cloud-based DMS not only digitizes your records but also revolutionizes the way your teams collaborate and operate.

But just how powerful is this shift to the cloud? The stats are telling.

Key Statistics: Cloud Document Management in Numbers

  • 83% of enterprise workloads were expected to be in the cloud by 2020 — a number that continues to rise (Forbes). 
  • 82% of businesses report cost savings after implementing a cloud-based document solution (BetterCloud). 
  • Organizations experience a 70% decrease in data loss risks after switching to cloud-based DMS (Gartner). 
  • Employees spend 20–30% of their time searching for documents. Cloud-based systems can reduce this by more than half (IDC). 
  • The global document management system market is projected to reach $11.47 billion by 2026, growing at a CAGR of over 13% (MarketsandMarkets). 

These cloud DMS stats reflect not just a trend — but a total transformation in how documents are handled in the digital era.

15 Powerful Benefits of Cloud Based Document Management Systems

From cost savings and global access to improved security and environmental impact, cloud-based document management systems deliver a powerful return on investment across your entire business ecosystem. If you’re evaluating a switch or considering benefits of cloud based document management systems:

1. Global, Always-On Accessibility

One of the most compelling benefits of cloud DMS is universal access. Employees can retrieve, edit, and share files from anywhere in the world using any internet-connected device. This is especially critical for remote teams, field workers, or international operations. Whether someone is in a client meeting or traveling across time zones, access to critical documents is never delayed. It empowers businesses to operate beyond office walls and working hours, supporting real-time responses and better decision-making.

2. Real-Time Collaboration & Seamless Workflows

With cloud DMS, documents are no longer siloed. Teams can co-author documents, make comments, track changes, and approve content—all in real time. This dramatically reduces the back-and-forth of email threads and eliminates confusion over file versions. Projects move faster because everyone works from the same source of truth. Instant notifications, shared folders, and live editing make collaboration smooth and intuitive, even across departments or continents.

3. Advanced Automation & Workflow Integration

Cloud document systems are more than digital filing cabinets—they’re intelligent automation hubs. Routine tasks like document routing, approvals, and archiving can be automated. For example, a sales contract can be automatically sent for review, approved, and forwarded to finance without manual intervention. Automated reminders, workflow triggers, and status tracking ensure that documents keep moving, reducing bottlenecks and freeing up your team to focus on more valuable work.

4. Cost Savings: CapEx Eliminated, OpEx Optimized

Traditional document storage involves significant capital expenditures—servers, storage hardware, backup systems, and maintenance staff. Cloud DMS replaces all of this with predictable, subscription-based pricing. You only pay for what you use, and there’s no need for costly infrastructure upgrades or server rooms. Beyond hardware, you also save on paper, printing, shipping, and physical storage, making it a budget-friendly and scalable solution.

5. Effortless Scalability to Match Business Growth

A growing business shouldn’t be limited by its document infrastructure. Cloud DMS platforms scale easily—add users, increase storage, or integrate new features in minutes. You can start with a single department and expand company-wide without any disruptions. This flexibility supports mergers, seasonal hiring, or geographic expansion without requiring new hardware or complex installations.

6. Enterprise-Grade Security and Encryption

Cloud providers invest heavily in cybersecurity—often more than individual companies can. Cloud DMS platforms offer encryption for data in transit and at rest, multi-factor authentication, intrusion detection systems, and granular access controls. You can assign specific permissions to users based on role or document type, preventing unauthorized access to sensitive data. These platforms also undergo regular security audits and updates, ensuring your information is always protected.

7. Built-In Disaster Recovery & Redundancy

Data loss can be catastrophic. Whether due to hardware failure, natural disaster, or human error, recovering critical documents can be time-consuming or impossible without the right precautions. Cloud-based systems automatically back up data across multiple, geographically dispersed data centers. This ensures that even in the event of a local outage, your data remains intact and accessible. It offers peace of mind and uninterrupted business continuity.

8. Version Control With Full Audit Trails

Working with outdated files can lead to costly mistakes. Cloud DMS maintains a complete version history of each document, allowing users to see who made what changes and when. You can easily compare, restore, or review older versions. Audit trails log every action—viewing, editing, sharing, or deleting—which is crucial for accountability and transparency, especially in highly regulated industries.

9. Compliance & Governance Made Simple

Industries such as healthcare, finance, and legal services are governed by strict compliance standards. Cloud DMS platforms support these requirements by offering features like data encryption, automated retention policies, access control, and audit reporting. Whether it’s HIPAA, GDPR, or SOX, cloud systems help ensure that your documents meet regulatory standards—without placing the burden entirely on your internal teams.

10. Unified Central Repository to Eliminate Chaos

Instead of scattering documents across desktops, email inboxes, USB drives, and file cabinets, cloud DMS consolidates everything into a centralized repository. With well-organized folders, smart tagging, and advanced search tools, employees can locate documents instantly. This reduces duplication, improves document retrieval, and creates a single source of truth that enhances productivity and minimizes frustration.

11. Seamless Integration with Business Systems

Cloud DMS platforms don’t operate in isolation. They integrate with email platforms, CRMs, ERPs, e-signature tools, project management software, and more. This allows documents to flow naturally through your organization’s existing systems. For example, signed contracts can automatically update your CRM, or incoming invoices can be routed through approval workflows in your accounting software—saving time and improving data consistency.

12. Superior Search Functionality Through Metadata & OCR

Advanced search capabilities are a game-changer. Cloud DMS platforms utilize metadata tagging and optical character recognition (OCR) to allow users to search by content, not just file name. Even scanned documents and handwritten notes become searchable. This makes retrieving information quick and intuitive, slashing the time employees spend hunting for documents and increasing overall efficiency.

13. Eco-Friendly, Paperless Operations

By moving to digital document storage, companies reduce paper usage, printing, shipping, and energy-intensive storage needs. This helps cut costs and supports environmental sustainability goals. In fact, adopting a cloud-based DMS can significantly lower your carbon footprint and contribute to corporate social responsibility initiatives—without sacrificing performance or security.

14. Lightened IT Burden & Continuous Updates

On-premise systems require constant maintenance—patching, upgrading, troubleshooting, backing up. With cloud DMS, all of that is handled by the provider. IT teams no longer need to worry about server performance, storage space, or software updates. This reduces operational overhead and allows IT staff to focus on innovation and strategic growth rather than firefighting.

15. Increased Productivity & Faster Decision-Making

Ultimately, cloud-based document management accelerates business. When teams have instant access to the information they need, can collaborate seamlessly, and no longer waste time on administrative tasks, productivity rises. Decisions are made faster, projects move forward more smoothly, and employees are more engaged. It transforms document management from a daily hurdle into a strategic advantage.

Beyond the Benefits: Strategic Tips for Implementation

Implementing document management system can be transformative, but success depends on a smart rollout. Here are a few tips:

  • Assess your needs: Not all systems are created equal. Consider your industry, compliance requirements, and existing workflows. 
  • Start with a pilot program: Test the system in one department before a full-scale rollout. 
  • Train your team: User adoption is key. Offer comprehensive training and ongoing support. 
  • Review and refine: Continually assess how the DMS is working and gather feedback to improve.

Conclusion: Future of Document Management Is in the Cloud

As organizations strive to stay agile, efficient, and secure, cloud-based document management systems are no longer a luxury — they’re a necessity. The benefits span every facet of operations: cost savings, security, collaboration, and compliance, to name a few.

By embracing the cloud, businesses position themselves not only to survive but to thrive in an increasingly digital and remote-first world.

So whether you’re still buried in paper files or using outdated on-premise solutions, it may be time to ask: What’s holding you back from the cloud?

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Why Pharma Companies Are Switching to DMS for Compliance and FDA Readiness

Why Pharma Companies Are Switching to DMS for Compliance and FDA Readiness

In today’s fast-evolving pharmaceutical landscape, regulatory scrutiny is higher than ever. Pharma companies are expected to deliver not only life-saving drugs but also adhere to strict documentation standards laid out by global agencies like the U.S. FDA, EMA, and WHO. Amid growing data complexities and stringent compliance requirements, the switch to Pharma Document Management Systems (DMS) is no longer optional—it’s a necessity.

This in-depth guide explores why pharma companies are increasingly adopting DMS to ensure FDA compliance, enhance regulatory readiness, and streamline operational efficiency.

1. The Documentation Dilemma in Pharma

Pharmaceutical firms generate vast amounts of documentation across every phase of drug development—from R&D to clinical trials to manufacturing and post-market surveillance. Managing this unstructured information manually or through legacy systems often leads to:

–  Misplaced or duplicated records
–  Poor version control
–  Audit failures
–  Delayed approvals

Manual documentation simply cannot meet today’s regulatory expectations.

2. Understanding Pharma DMS: What It Really Is

A Pharma Document Management System (DMS) is a centralized digital platform that stores, organizes, secures, and retrieves documents relevant to pharmaceutical processes. It ensures:

–  Automated workflows for approvals and reviews
–  Version control to track document changes
–  Audit trails to ensure traceability
–  Access control to protect sensitive data

Unlike generic DMS platforms, a pharma-focused DMS is specifically tailored to meet regulatory, quality, and validation needs unique to the life sciences industry.

3. FDA Compliance: A Non-Negotiable Standard

To market drugs in the U.S., pharma firms must comply with FDA 21 CFR Part 11, which sets the benchmark for handling electronic records and electronic signatures. A compliant DMS supports:

–  Secure access with role-based controls
–  Electronic signature management
–  System validation documentation
–  Real-time audit trails

Without an FDA-ready DMS, companies risk warning letters, product recalls, and even criminal liability.

4. Regulatory Readiness: Not Just for the FDA

It’s not just the FDA; pharma companies must also stay compliant with:

–  EMA (European Medicines Agency)
–  MHRA (UK Medicines and Healthcare products Regulatory Agency)
–  ICH Guidelines
–  ISO 13485 and 9001 standards

A powerful DMS ensures global regulatory readiness by adapting to multi-jurisdictional documentation needs and audit formats.

5. Benefits of Pharma DMS for Quality and Compliance Teams

Pharma DMS platforms empower quality assurance (QA) and regulatory affairs (RA) teams by offering:

–  Streamlined change control
–  Automated CAPA workflows
–  Validation-ready templates
–  Faster document retrieval during audits
–  Digital batch record management

This translates into faster time-to-market and lower cost of compliance.

6. DMS in Pharma Manufacturing: Enhancing Operational Excellence

In pharmaceutical manufacturing, Standard Operating Procedures (SOPs), Master Batch Records (MBRs), and Deviation Reports must be accurate, traceable, and instantly accessible. A pharma DMS provides:

–  Real-time document access on production floors
–  Automated document training assignment to employees
–  Controlled document revisions and approvals
–  Audit-readiness with minimal manual intervention

This ensures GMP compliance, reduces risks of production halts, and improves overall equipment effectiveness (OEE).

7. Risk Reduction and Data Integrity

The pharma industry is under strict regulations to uphold ALCOA+ principles (Attributable, Legible, Contemporaneous, Original, Accurate). A modern DMS protects data integrity by:

–  Preventing unauthorized data modifications
–  Capturing real-time system activity logs
–  Enforcing standard naming and filing conventions
–  Enabling disaster recovery and backup protocols

In short, data integrity is embedded by design, not by accident.

8. DMS in Clinical Trials and R&D

Clinical trials generate massive documentation: protocols, patient consent forms, adverse event reports, and investigator brochures. A DMS in clinical R&D ensures:

–  Faster document reviews by ethics committees
–  Secure collaboration with CROs and global sites
–  Compliance with GCP (Good Clinical Practice)
–  Efficient document submission to regulatory bodies

When paired with eTMF (electronic Trial Master File) capabilities, DMS transforms trial documentation workflows for better compliance and transparency.

9. Integration with Other Pharma Systems

To deliver end-to-end digital compliance, a DMS must seamlessly integrate with:

–  LIMS (Laboratory Information Management Systems)
–  QMS (Quality Management Systems)
–  ERP (Enterprise Resource Planning like SAP or Oracle)
–  MES (Manufacturing Execution Systems)

This interconnectivity ensures that data and documents travel together, eliminating silos and improving traceability from lab to launch.

10. Choosing the Right DMS for Pharma: What to Look For

Not all DMS platforms are created equal. When selecting a Pharma DMS, consider:

–  Is it 21 CFR Part 11 and Annex 11 compliant?
–  Can it handle SOP management, training records, CAPA, and audit trails?
–  Does it support multi-site and multilingual operations?
–  Is it cloud-ready and scalable?
–  Does it offer validation documentation and ongoing support?

docEdge DMS, for example, is one such solution that is tailored to address the complexity of pharmaceutical compliance in both R&D and commercial operations.

11. Case Study: How a Mid-Sized Pharma Firm Became FDA-Ready with DMS

A growing Indian pharma company preparing for ANDA submission to the FDA faced issues managing:

–  Outdated SOPs
–  Paper-based CAPA
–  Frequent audit observations

 

After implementing a compliant DMS, they achieved:

–  100% audit readiness within 90 days
–  60% reduction in document retrieval time
–  Improved CAPA closure rates by 45%
–  Zero audit findings in their next inspection

This is a textbook example of how digital documentation can accelerate regulatory success.

12. The Future of DMS in Pharma: AI, Automation & Predictive Compliance

Emerging DMS platforms are now infused with:

–  AI for auto-classification and tagging
–  Natural language processing (NLP) to extract metadata
–  Automated audit readiness reports
–  Predictive analytics for compliance gaps

This means tomorrow’s Pharma DMS won’t just store documents, they’ll actively manage risk and drive regulatory strategy.

Conclusion: Compliance is No Longer a Burden with the Right DMS

The pharmaceutical industry can no longer afford to treat compliance and document control as afterthoughts. In a sector where a single missed signature or outdated SOP can cost millions—or lives—the right Document Management System is indispensable. By switching to Pharma DMS, companies gain:

–  Faster regulatory approvals
–  Stronger data integrity
–  Enhanced audit readiness
–  Operational efficiency at scale

In a world of rising regulatory pressure, pharma companies that digitize early will lead with trust, speed, and success.

 

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