Data Migration & Consolidation

I build AI agents that extract documentation from wherever it lives -- wikis, file shares, email threads, project tools -- normalise it into consistent formats, and consolidate it into a single, well-organised knowledge base without losing metadata or context.

Extracting content from every corner of your organisation

Documentation rarely lives in one place. The first challenge is getting it all out.

I've worked with organisations that have critical knowledge scattered across Confluence, Google Drive, SharePoint, Notion, local file shares, Slack channels, email threads, and even physical documents that were scanned years ago. Each platform stores content differently, with different access controls, different export capabilities, and different levels of structure. I build agents that connect to these sources systematically, extract content with its context intact, and handle the messy reality of mixed formats and inconsistent organisation.

Platform-Specific Connectors

I build extraction agents tailored to each source platform -- using APIs where available, export functions where necessary, and structured scraping as a last resort. Each connector understands the platform's content model, preserving not just text but tables, embedded media, comments, and page hierarchies.

Incremental Extraction

For large knowledge bases, a one-time bulk export isn't practical. I configure agents for incremental extraction -- pulling content in manageable batches, tracking what's been processed, and handling interruptions gracefully. This approach also supports ongoing sync during transition periods when both old and new systems are in use.

Embedded Content Handling

Documents that reference or embed content from other sources -- embedded spreadsheets, linked diagrams, attached files -- need special handling. The agent resolves these references, extracts embedded content into standalone assets, and maintains the relationships so nothing is lost in translation.

Access Control Mapping

Source platforms often have granular access controls that need to be understood before migration. The agent maps existing permissions, identifies content that's restricted or sensitive, and flags access control decisions that need human input before content moves to the new system.

Making everything consistent and preserving what matters

Content from different platforms arrives in different formats. Normalisation is where the real work happens.

Format normalisation goes far beyond file conversion. It means making heading structures consistent, standardising how lists and tables are formatted, converting proprietary markup to open standards, fixing encoding issues, and resolving the hundreds of small inconsistencies that make migrated content feel messy. At the same time, metadata -- authorship, dates, revision history, tags -- needs to transfer cleanly to preserve the audit trail and attribution your organisation depends on.

Structural Normalisation

The agent analyses content from each source and maps it to a consistent structural model in the target system. Heading levels get standardised, list formats get unified, table structures get cleaned up, and inline formatting gets converted to your target platform's conventions. The result reads as though it was all written natively.

Media & Asset Migration

Images, diagrams, videos, and attached files need to move with the content they belong to. The agent extracts media assets, re-links them in the migrated content, converts formats where necessary (e.g., proprietary diagram formats to standard SVG), and validates that nothing is broken post-migration.

Metadata Preservation & Mapping

I build agents that map metadata fields from source to destination -- author names to user accounts, creation dates to timestamp fields, tags to the new taxonomy, and revision history to the target system's versioning model. Where direct mapping isn't possible, the agent preserves the original metadata in a structured format that remains searchable.

Link Resolution & Rewriting

Internal links between pages need to be rewritten to point to their new locations. The agent maintains a mapping table from old URLs to new ones, rewrites all internal references, and generates a redirect map for any external links pointing to old content locations -- ensuring nothing becomes a dead end.

Building the consolidated knowledge base

The end goal isn't just moving content -- it's creating something better than what you had before.

Migration is an opportunity. When you're pulling content from multiple sources into one system, you have the chance to deduplicate, restructure, and improve -- not just replicate the mess. I build agents that handle the consolidation intelligently: identifying content that exists in multiple sources, merging complementary versions, building a coherent taxonomy, and validating that nothing important was lost in the process.

Cross-Source Deduplication

The same document often exists in multiple platforms -- sometimes identical, sometimes with different edits in each location. The agent identifies these overlaps, determines which version is most complete and current, and merges unique content from secondary versions. You end up with one authoritative copy instead of several conflicting ones.

Taxonomy Construction

Content from different sources was organised under different category systems. The agent analyses all incoming content, proposes a unified taxonomy that accommodates everything, and assigns each page to its appropriate location. The new structure reflects how your organisation works today, not how individual platforms were set up years ago.

Migration Validation & Reporting

After migration, the agent produces a comprehensive report: total pages migrated per source, any content that couldn't be processed and why, metadata mapping completeness, and a sample-based quality check comparing source and destination content. Nothing gets signed off until the validation passes.

Rollback & Recovery Planning

I build migration pipelines with rollback capability -- if something goes wrong mid-migration or issues are discovered after the fact, the process can be reversed or re-run from any checkpoint. Source content is never modified or deleted until the migration is fully validated and approved.

Ready to consolidate your scattered documentation?

Tell me what platforms you're working with and where you want to end up. I'll scope the migration.