Organize and preprocess documents, manuals, consultation records, and employee know-how
into a work database AI can search and use.
AI cannot understand your operations without source material.
Internal standards, manuals, product descriptions, customer response records, and employee know-how must be organized
before analysis, answers, document generation, and automation are possible.
Companies hold a lot of knowledge that never made it into a manual.
Exception handling, customer response standards, and judgment calls that only certain owners know — all of it needs to be captured for AI to get close to real work.
RoaMeta structures existing documents and field know-how into a work database AI can use.
Gather work documents such as spreadsheets, Word files, PDFs, manuals, and consultation records.
Through direct observation and detailed interviews, capture exception handling, owner-specific know-how, and customer response standards that are not in documents — and turn them into work data AI can use.
Sort by department, workflow, document type, and currency.
Separate duplicate documents from outdated materials.
Split documents into units AI can read and structure them accordingly.
Attach workflow name, document type, date, version, department, and related fields.
Trying to AI-enable all company materials from day one expands scope and raises the risk of failure.
Prove value in one small workflow first,
then expand into RAG engines, AI system build-out, and full-scale optimization.