Your AI didn't fail.
Your knowledge structure did.
Diagnose why Copilot and internal AI can't deliver value — without reading your documents. We analyze structure & governance signals (metadata only) to produce an executive-ready report.
Why AI rollouts stall in real companies
It's not the AI. It's the foundation it's built on.
Inconsistent answers
"RAG pulls the wrong source. Users stop trusting it."
Knowledge decay
"Critical SOPs are outdated or duplicated across teams."
Governance gaps
"No ownership, messy permissions, unclear lifecycle."
A diagnostic, not another tool to manage
Three steps to understand what's blocking your AI initiatives.
Export metadata
Export or generate metadata (CSV) from your knowledge systems (Notion / Confluence / Google Drive).
We analyze structure
We run a structure analysis (topology, ownership, lifecycle, permission risk).
Receive your report
You receive a report: AI Readiness Score + root causes + 90-day remediation plan.
Sample diagnostic preview
Excerpt from a full executive-ready diagnostic report.
The complete sample is available below.
AI Knowledge Readiness Score (0–100)
Top 3 structural blockers to AI adoption
Governance gaps (ownership & lifecycle)
Permission risk map (where AI should not access)
ROI estimate: time & cost leakage from knowledge chaos
A 90-day remediation checklist (works with your existing tools)
📊 Sample Diagnostic Findings
Orphaned docs
43%
No clear owner
58%
Outdated SOP risk
High
External share risk
Medium
Is this right for you?
Atlas Diagnostic is designed for specific challenges. Here's how to know if it's a fit.
Perfect for
- Teams already using Copilot/ChatGPT Enterprise/RAG and not seeing ROI
- 30–500 employee companies with growing documentation sprawl
- Ops / CTO / Knowledge owners who need a clear diagnosis
Not designed for
- Personal "second brain" workflows
- Teams just experimenting with AI casually
- Companies unwilling to export metadata
Built for security-first teams
We understand that enterprise data is sensitive. That's why we designed Atlas Diagnostic from the ground up with security as a core principle—not an afterthought.
Metadata only
We do not read or store document content. Metadata only.
Encrypted in transit
Data is encrypted in transit using industry-standard TLS.
Auto-delete
Uploaded files auto-delete within 72 hours.
No model training
We do not train models on your data. Ever.
Exactly what we access — and what we never do
Atlas Diagnostic is designed with strict data boundaries so security teams know precisely how information is handled.
What we analyze (metadata only)
We only access non-content metadata required to understand knowledge structure, including:
- Document or page ID
- Folder or workspace hierarchy
- Parent–child relationships
- File or page type (doc, page, PDF, etc.)
- Creation and last-updated timestamps
- Owner and last editor identifiers
- Permission scope (private / team / organization / external)
- Source system (Notion, Confluence, Google Drive, SharePoint)
✓ We do NOT access document text, paragraphs, comments, or attachments.
What we never access
Atlas Diagnostic will never:
- Read document body content
- Extract or store document text
- Generate embeddings or vector indexes
- Copy or back up customer documents
- Monitor your workspace continuously
- Sync data after the diagnostic completes
- Train AI models using customer data
- Retain data beyond the diagnostic window
How AI is used
AI is used only to summarize diagnostic findings generated by deterministic analysis.
- AI does not process uploaded metadata directly
- AI does not read customer files
- AI never receives document content
- AI is applied only to aggregated structural metrics
Data lifecycle
- Metadata files are uploaded using encrypted transport (TLS)
- Files are stored temporarily for diagnostic processing
- All uploaded data is automatically deleted within 72 hours
- No backups or replicas are retained
- Data deletion is irreversible
Apply for early diagnostic access
Limited spots available. We'll review applications and reach out to qualified teams.
Frequently asked questions
Have another question? Reach out to us directly.