Customer’s pain point:

• Finding documents across multiple systems and platforms
• Follow regulation requirements overall corporate data
• Track document sharing with partners over a long period
• Achieve GDPR compliance over archives and backups;
• 

Solutions

1. The customers have challenges with document understanding and automation at scale. These are identified pain points and they need solutions.
2. The customers want to implement and grow with AI, but they don’t understand the security implications of adopting AI.
3. The problem of invisible and unsearchable data is constantly growing, with no common solution available.
4. Customers cannot be distracted by AI initiatives and would welcome ready solutions with low costs related to adoption.

Automatic classification of files into document types

BEFORE

• File chaos across file shares
• No document type distinction
• Scanned PDFs cannot be searched
• Searching is close to useless
• Inconsistent folder hierarchies
• No useful metadata
• Too many duplicates
• No information protection & compliance
• Permissions mess
• Cannot build insight solutions

AFTER

• External Portal for partner “spaces”
• Same internal and external content structure, with metadata
• Long-term document transfer between parties.
• Single copy with security and version history
• Auditing and information protection

Partner collaboration with long-term document exchange

BEFORE

• Individual file sharing
• Private link leaking
• Off-system file sent to team members
• Multiple copies
• No security and control
• No compliance

AFTER

• External Portal for partner “spaces”
• Same internal and external content structure, with metadata
• Long-term document transfer between parties.
• Single copy with security and version history
• Auditing and information protection

Forms processing & document data extraction

BEFORE

• Businesses pay for custom services to automate form data extraction
• Many false-positives, failed executions and incorrect results
• Slow
• Sample documents need to be shared with services companies
• Relationships are strained due to the need for corrections to implementations

AFTER

• Forms processing uses state-of-the-art AI to extract key-value pairs, table data and expected data
• Significant performance increase

Speech-to-text recognition of audio/video archives

BEFORE

• Analog photo film archives since 1990
• Years of video recording archives
• Years of journal archives on paper
• Legally must give access to the public, but cannot execute this requirement

AFTER

• Audio & video transcribed
• Speech is searchable
• Images are auto-labelled
• Content is classified by show, host, guests, topics, tags
• Public portal

Long-term records keeping

BEFORE

• Terrible usage of file shares for long-term “archive”
• Issues with security and access
• No auditing
• No wiping from backups when required by law
• No ability to find anything

AFTER

• Intuitive archive user interface
• Classified and indexed content for intuitive search
• Auditing on access, locked for changes
• Managed backups allowing individual wiping of documents to satisfy legal requirements (GPDR, etc.)