What Changes When Migration Meets Intelligence

60–80% improvement in retrieval precision: Copilot surfaces the right document—the authoritative, current version—not just the first match. This is achieved through enriched metadata (document type, version status, authority signals) that tells the Graph which content to prioritize.

70%+ reduction in hallucinations: When documents have clear metadata about their status (Draft, Approved, Superseded), expiration dates, and ownership, Copilot can confidently exclude obsolete or uncertain information. Users stop seeing "I found 17 versions of this policy, here's a summary of all of them" and start seeing "Here is the current, approved policy effective January 2025."

3–5x higher user adoption rates: In organizations where Copilot works reliably, adoption exceeds 75% within 6 months. In organizations where it doesn't, adoption stalls at 15-20% and never recovers. The difference is data quality, not user training.

45 minutes saved per employee per day: Measured across document retrieval, research, redundant communication, and meeting preparation. In a 5,000-person organization, this translates to roughly 3,750 hours of productivity recovered daily.

70–90% reduction in audit preparation time: From 3 months of manual excavation to 3 days of running pre-configured queries. When auditors ask "Show me all contracts subject to FINRA 7-year retention," the answer is instant because retention labels were applied during migration.

Zero post-migration permission inheritance incidents: No more "confidential salary data visible to 10,000 employees" surprises six months after go-live. Permissions are rationalized to least-privilege access before content enters the Graph.

Automated retention enforcement: Files self-destruct when their retention period expires. No manual cleanup projects, no "we'll get to it eventually" backlogs. The system enforces the rules, and audit logs prove it.

Instant litigation discovery: "Show me all contracts with Acme Corp" or "Find every document mentioning Project Phoenix" becomes a 30-second query instead of a 30-day eDiscovery project involving outside counsel and forensic consultants.

40–60% reduction in time-to-retrieve: Metadata-driven search (filtering by document type, date range, department, project, status) is faster and more precise than keyword guessing. Users find authoritative contracts, policies, and specifications in seconds instead of mining through 200 search results.

50–70% improvement in search relevance: Users find the authoritative, current version, not 17 drafts from 2019. This is achieved through version control metadata, authority signals, and usage patterns that tell the Graph which documents matter.

Elimination of "tribal knowledge" dependency: When John, the 20-year veteran who knows where everything is, retires, his knowledge doesn't leave with him—because it's embedded in metadata, ownership assignments, and taxonomies that survive organizational change.