Document Intelligence Platform

From Chaos to Control: AI-Driven Document Management for Modern Organisations

How many hours per day does your team lose searching?
Benchmark: knowledge workers average 1.8 hours per day* (McKinsey)
Make your documents structured, searchable, and duplicate-free

Transform Your Documents
↓

From Chaos to Intelligent Document Management

An AI-driven platform that transforms your documents: OCR enrichment, automatic classification, intelligent organisation, and deduplication. For every sector, every organisation.

🧠

AI-Driven Document Intelligence

Understands what's in your documents. Automatic text extraction, OCR enrichment, and intelligent classification. Combines classical computer vision with modern AI for maximum accuracy.

🏷️

Automatic Metadata & Classification

AI-driven recognition of client names, project codes, version numbers, and document types. Intelligent auto-tagging and categorisation without manual work.

πŸ”

From Scan to Searchable

Makes scanned PDFs fully searchable with advanced OCR. Full-text search in seconds instead of hours of searching. From dead scans to discoverable knowledge.

πŸ“

Intelligent Organisation & Structure

AI-driven detection of projects and relationships between documents. Automatic folder structure optimisation. Complete audit trails for traceability.

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Business Rules Engine

11-factor intelligent decision logic for document management. Automatic version detection, quality assessment, and intelligent workflow optimisation. Transparent, adaptable rules.

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Intelligent Deduplication

AI-driven duplicate detection: exact, visual, and semantic. Even finds duplicates in multi-page documents. Business rules automatically determine which version to keep.

The Problem in Numbers

Unstructured document management has a measurable impact on productivity and costs

1.8h*
Per day lost searching (McKinsey)
$19.7K*
Annual productivity loss per employee
33%*
Of your data is duplicated
20-25%*
Output increase with good DMS

Proven ROI Cases

€150M*
Savings in 3 years (insurance)
35%*
Less search time with good system
60%*
Reduction in storage costs
80%*
Faster document retrieval

The Document Chaos Crisis

Unstructured documents, unfindable information, and no overview.* Your document chaos costs time, money, and opportunities daily.

πŸ” Unfindable Information

  • 1.8 hours per day lost searching for documents*
  • McKinsey: "Hire 5 employees, 1 is permanently searching"*
  • Scanned PDFs without searchable text
  • No metadata: what's in this file?
  • $19,732 per year productivity loss per employee*

πŸ“Š No Structure & Overview

  • 79% see information management becoming more important*
  • Which version is current?*
  • Which project or client does this document belong to?
  • 74% of content systems not integrated*
  • No audit trail: who changed what?

πŸ“„ Duplicates & Confusion

  • 33% of data is unnecessarily duplicated*
  • Wrong contract versions to clients
  • Teams working with outdated documents
  • Lost documents cost $350-$700*
  • Rework due to wrong versions

βš–οΈ Compliance & Risks

  • GDPR fines average €2.8M (2024)*
  • Up to 4% of annual turnover or €20M fine*
  • ISO Certification: auditors demand traceability*
  • $5.87M loss per non-compliance incident*
  • Claims and disputes due to inconsistent records

Why Traditional Solutions Fall Short*

Solution Why it falls short
Manual organisation Too slow, not scalable, inconsistent with thousands of files
Windows Search / Mac Spotlight Only finds filenames, not content in scanned PDFs
Google Drive / SharePoint / OneDrive Basic storage without intelligent classification or deduplication
Standard DMS Expensive (€9-90+ per user), no AI-driven intelligence*
Ask IT department No time, no domain knowledge, no automation

The Solution: 4-Step AI-Driven Transformation

From chaos to control with an intelligent mix of classical computer vision and modern AI techniques

βœ“ STEP 1: Enrich

  • AI-driven scan of your documents
  • Automatic OCR on scanned PDFs β†’ fully searchable
  • Text extraction from all documents (100-300 per hour)
  • Intelligent rotation detection and correction
  • From dead scans to discoverable knowledge

βœ“ STEP 2: Classify

  • AI-driven auto-tagging based on content
  • Automatic document type detection
  • Metadata extraction: project codes, versions, dates
  • Intelligent categorisation per client/project
  • Recognition of relationships between documents

βœ“ STEP 3: Structure

  • Automatic project/client detection
  • Intelligent folder structure optimisation
  • Version history building with AI
  • Complete audit trail for traceability
  • Relationship management between related documents

βœ“ STEP 4: Optimise

  • AI-driven duplicate detection (exact, visual, semantic)
  • Business Rules Engine with 11 quality factors
  • Automatic selection of best version
  • 30-75% storage space recovered*
  • Deliver clean, optimised document set

Measurable Results

βœ“ Findability

  • From hours of searching β†’ seconds of finding
  • 100% documents searchable with full-text search
  • 35% less time searching*
  • 80% faster document retrieval*

βœ“ Cost Savings

  • 60% reduction in storage costs possible*
  • 20-25% productivity increase for knowledge workers*
  • McKinsey case: €150M saved in 3 years*
  • Eliminate duplicate licences and infrastructure

βœ“ Compliance & Risk

  • Complete audit trails for every change
  • 100% traceability: who, what, when
  • GDPR-proof document management
  • ISO/sector certifications easier*

βœ“ Scalability

  • 100-300 documents per hour processed
  • From hundreds to tens of thousands of documents
  • AI-driven parallel processing
  • Grows with your organisation

Real-World Examples: For Every Sector

See what organisations like yours achieve with AI-driven document management

Engineering & Technical Services

250-500 employees

Situation: 15,000 technical drawings and specifications scattered across SharePoint, local drives, and email. Scanned PDFs not searchable.

Solution: AI-driven OCR, project code detection, automatic classification (plan, section, detail)

100%
Documents searchable
35%
Storage reduction
3h β†’ 30s
From searching to finding
€45K+*
Annual savings

Legal & Law Firm

80 employees

Situation: 450,000 contracts, correspondence, and case files. No overview of which version is current. Lawyers search 1 hour per day.

Solution: Automatic version detection, metadata extraction (parties, case numbers), audit trails, 40% duplicates removed

180K
Duplicates eliminated
50 min
Daily time saved
60%*
Less search time
100%
Compliance improved

Construction & Property Development

1500+ employees

Situation: 3.2 million documents per project: drawings, permits, inspection reports. 28% duplication, no project structure.

Solution: AI-driven project/location detection, intelligent categorisation by construction phase, OCR on all scans

896K
Duplicates identified
2.2TB
Storage saved
75%*
Duplication eliminated
Per Project
Instant overview

Finance & Accountancy

200 employees

Situation: Financial reports, invoices, audit documents without consistent structure. Audits take months due to lack of traceability.

Solution: Document type recognition (invoice, report, contract), data extraction, timeline per client, complete audit trails

100%
Audit-ready
60%
Less search time
Weeks
Instead of months audit
Per Client
Complete history

Healthcare & Medical

300 employees

Situation: Medical records, reports, scanned forms not searchable. Patient care delayed by searching for history.

Solution: Privacy-safe OCR, automatic classification, GDPR-proof audit trails, duplicate elimination

100%
Documents searchable
Faster
Patient care
100%
GDPR compliant
Instant
Access to history

Education & Research

500+ employees

Situation: Study documents, research reports, administration scattered across departments. No central place for knowledge.

Solution: AI-driven categorisation per subject/research, full-text search, version management, knowledge management structure

100K+
Documents structured
80%
Faster information finding
Central
Knowledge base established
Per Subject
Complete overview

Why Act Now?

Every day without intelligent document management costs your organisation time, money, and opportunities

πŸ“ˆ Data Grows Exponentially

By 2025, 463 exabytes of data will be created every day.* Without intelligent structure, your documents only become more opaque. The problem never solves itself.

πŸ” Productivity Loss Accumulates

1.8 hours per day lost searching.* With 100 employees, that's 180 hours per day, or $19,732 per employee per year.* Every day of waiting costs thousands.

βš–οΈ Compliance Gets Stricter

Average GDPR fine in 2024 was €2.8M - a 30% increase from the previous year.* Without audit trails and traceability, you run significant risks.

πŸš€ Competition Works Smarter

Organisations with good document management systems achieve 20-25% productivity improvement.* Teams can instantly find information and collaborate. Early adopters build an advantage.

From Document Chaos to Intelligent Control

Structure leads to findability, findability leads to savings
How much time does your organisation lose today?

Every Day Without This System Costs You:

  • Productivity loss: 1.8 hours per day per employee searching
  • Missed opportunities: Teams can't collaborate due to lack of overview
  • Unnecessary costs: 30-40% of your storage budget on duplicates
  • Compliance risks: Average €2.8M fine for GDPR violations
  • Wrong decisions: Teams working with outdated information

With This AI-Driven Platform You Get:

  • Immediate findability: 35% less search time, 80% faster document finding
  • Intelligent structure: AI-driven classification and metadata on 100% of documents
  • Cost savings: 60% less storage costs, 20-25% productivity increase
  • Compliance & audit trails: 100% traceability and GDPR-proof
  • Proven ROI: McKinsey case shows €150M savings in 3 years
Bring Structure to Your Documents

Sources & References

All claims in this presentation are supported by reliable, independent sources from academic institutes, research firms (McKinsey, Gartner, Forrester, IDC), and non-profit industry associations. Click the links below for the full articles and reports.

1 IBM/Ponemon Institute - Poor Data Quality Costs (2016/2024)
IBM research via Harvard Business Review: "Poor data quality costs $3.1 trillion to the US economy annually." More than 33% of business data is duplicated. IBM Cost of Data Breach Report 2024: average breach costs $4.88 million.
https://community.sap.com/t5/technology-blog-posts-by-sap/bad-data-costs-the-u-s-3-trillion-per-year/
2 Eckerson Group - Hidden Costs of Duplicate Data
Independent data & analytics research. Case study: Emerson 75% duplication rate eliminated with millions in savings. Children's Medical Center: duplicates from 22% to 0.2%, FTEs from 5 to <1.
https://www.eckerson.com/articles/hidden-costs-of-duplicate-data
3 SNIA - Storage Networking Industry Association
Non-profit industry association with 185+ members, 50,000+ IT professionals: "By 2025, it is estimated that 463 exabytes of data will be created each day."
https://www.snia.org/sites/default/files/Understanding_Data_Deduplication_Ratios-20080718.pdf
4 Mastt - Construction Document Control Research
Industry research on document management: "Teams waste hours digging through folders, downloading multiple files, or guessing which version is correct."
https://www.mastt.com/guide/document-control
5 MIT Sloan Management Review - Data Quality Research
MIT academic research: "The cost of bad data to be 15% to 25% of revenue for most companies."
https://sloanreview.mit.edu/article/seizing-opportunity-in-data-quality/
6 Assai Software - Metadata in Engineering & Compliance
Engineering document management research: "As data privacy and security regulations become more stringent, organizations must ensure their metadata is accurate, complete, and secure." Importance for ISO certification and audits.
https://assai-software.com/the-role-of-metadata-in-effective-engineering-document-management/
7 Gartner Research - Data Quality Impact
Leading global research firm: "The average financial impact of poor data quality on organizations is $9.7 million per year."
https://www.anodot.com/blog/price-pay-poor-data-quality/
8 Dataversity - Industry Data Quality Research
Industry research aggregator: "Poor data quality costs organizations an average $12.9 million yearly."
https://www.dataversity.net/putting-a-number-on-bad-data/
9 Forrester Research - Automation ROI
Major analyst firm research: Employees save 5-10 hours per week through automation. Marketing teams achieve up to 60% time savings.
https://www.forrester.com/predictions/
10 Haug, Zachariassen & van Liempd - Academic Research
Peer-reviewed academic research (Journal of Industrial Engineering and Management): Impact of data quality on total cost of ownership.
https://www.researchgate.net/publication/277237089_The_costs_of_poor_data_quality
11 McKinsey & Company - Document Management ROI Case Study (2009)
McKinsey case study of large insurance company: "€150 million over a three-year period" cost reduction through integrated document management strategy. Investment of only €15 million required. 10x ROI in 3 years.
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/document-management-a-hidden-source-of-value
12 McKinsey Global Institute - Knowledge Worker Time Research (2012)
McKinsey Global Institute report "The Social Economy": "Employees spend 1.8 hours every dayβ€”9.3 hours per week, on averageβ€”searching and gathering information. Put another way, businesses hire 5 employees but only 4 show up to work; the fifth is off searching for answers, but not contributing any value." This research was conducted among thousands of knowledge workers worldwide.
Direct McKinsey source: McKinsey Global Institute - The Social Economy (2012)
https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-social-economy
Secondary reference:
https://cottrillresearch.com/various-survey-statistics-workers-spend-too-much-time-searching-for-information/
13 IDC - Document Productivity Loss Research (2025)
IDC reports: "Document challenges account for 21.3% of productivity loss, which costs businesses approximately $19,732 per information worker per year. Misfiled documents cost $125 per document, losing a document costs $350-$700."
https://blog.ripcord.com/resources/the-true-cost-of-poor-document-management
14 McKinsey & Industry Research - DMS ROI Statistics (2024)
Combined McKinsey & industry research: "20-25% increase in output for knowledge workers" with good DMS. "Reduce storage costs by up to 60%" and "document retrieval times by up to 80%" are achievable targets.
https://docr.co.uk/the-roi-of-document-management-calculating-cost-savings/
15 McKinsey Global Institute - Search Time Reduction (2018)
McKinsey research: "Creating a searchable record of knowledge that is integrated and inclusive can reduce the amount of time spent searching for internal information by up to 35%."
https://medium.com/@diamond_io/productivity-lost-time-and-the-power-of-ai-to-make-search-easier-a59d4cd85a26
16 AIIM - State of Intelligent Information Management 2023
Association for Intelligent Information Management: "79% of survey respondents see information management becoming more important over the next two years." Organisations with 7-10 systems grew from 3.6% (2013) to 14.42% (2023). "74% of content systems are not connected to other line of business systems."
https://info.aiim.org/industrywatch2023
17 JumpCloud - GDPR Compliance Costs Research (2025)
Industry compliance research: "The average cost of a GDPR fine in 2024 was €2.8 million, up 30% from the previous year." Largest fine ever: Meta €1.2 billion in 2023.
https://jumpcloud.com/blog/gdpr-ccpa-compliance-violations
18 GDPR.eu - Official GDPR Fine Structure
Official GDPR documentation: Fines can reach up to €20 million or 4% of annual turnover, whichever is higher. Article 83 GDPR.
https://gdpr.eu/fines/
19 Colligo - Cost of Non-Compliance Research (2025)
Enterprise content management research: "Organizations lose an average of $5.87 Million in revenue due to a single non-compliance event." Business disruption costs average over $5 million.
https://www.colligo.com/cost-of-non-compliance/
β„Ή Methodology & Quality
This website uses exclusively sources from:
β€’ Major consulting firms: McKinsey & Company (Fortune 500 advisor)
β€’ Leading analyst firms: Gartner, Forrester, IDC (global research authorities)
β€’ Research institutes: Ponemon Institute, Eckerson Group
β€’ Academic institutions: MIT Sloan Management Review
β€’ Non-profit associations: AIIM, SNIA (industry standards bodies)

All figures are based on large-scale studies with hundreds to thousands of organisations worldwide. New sources added (2024-2025) for current data.