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Data Foundation

Turn scattered knowledge into AI-ready data

Clean data is the foundation for any AI deployment. Without it, AI projects fail.

We audit your existing documentation, conduct intake sessions to capture undocumented tribal knowledge, and transform everything into a structured knowledge base ready for AI ingestion.

The output: organized markdown and text files that can feed into chatbots, search systems, or any future AI deployment. This is often the missing first step that makes other AI projects possible.

Pairs perfectly with Always-On Assistant, or any future AI initiative you're planning.

Quick Facts

Investment

$7,000 - $12,000

Timeline

45 days

ROI Target

AI-ready in 45 days

Ideal For

Companies preparing for AI adoptionBusinesses with scattered documentationTeams with tribal knowledgeOrganizations planning chatbot deployments

What's Included

Everything you need for a successful implementation with no hidden costs.

Comprehensive documentation audit and inventory
Intake sessions to capture undocumented tribal knowledge
Document collection from scattered sources (drives, emails, wikis)
Content cleaning and standardization
Structured knowledge base output (markdown/text files)
Taxonomy and categorization system
Gap analysis and documentation recommendations
Ready for ingestion into chatbots, search, or automation

Success Metrics

We measure success with clear, trackable KPIs.

90%+
Documentation coverage
80%+
Tribal knowledge captured
45 days
Time to AI-ready
3x higher
Future AI project success rate

Tech Stack

We use industry-leading tools configured for your specific needs.

Documentation

MarkdownNotionConfluence export

Collection

Google DriveSharePointDropbox

Processing

Custom Python scriptsDocument parsers

Output

Structured text filesJSON/YAML schemas

Quality

Content validationConsistency checks

Deliverables

What you'll have when we're done.

  • Complete documentation inventory
  • Structured knowledge base (markdown/text files)
  • Taxonomy and categorization system
  • Tribal knowledge documentation
  • Gap analysis report
  • AI readiness assessment
  • Ingestion-ready file formats
  • Recommendations for next AI steps

Implementation Timeline

45 days from kickoff to go-live. Here's how we get there.

Week 1-2

  • Documentation audit
  • Source inventory
  • Stakeholder interviews
  • Gap identification

Week 3-4

  • Intake sessions for tribal knowledge
  • Document collection from all sources
  • Initial content processing
  • Taxonomy development

Week 5-6

  • Content cleaning and standardization
  • Knowledge base structuring
  • Quality validation
  • Gap filling

Week 7

  • Final knowledge base delivery
  • Documentation handoff
  • AI readiness assessment
  • Next steps recommendations

Ready to Get Started with Data Foundation?

Book a free consultation to discuss your specific needs and see if this package is the right fit.