Knowledge Insights · For executives
Is your documentation
AI-ready?
Knowledge Insights is the executive read-out of your AI-readiness program. We connect to your ticketing system and your docs, then read. Continuously. You see where the gaps are before your AI rollout breaks on them.
Passive analysis · no technician participation required · sales-driven onboarding
AI-Readiness Scorecard
Composite, 7-signal breakdown · updated daily
73/100
Your AI rollout is one documentation audit away from working.
Cisco's 2026 AI Readiness Index found only 13% of organizations are ready to deploy AI. The cause is rarely the model. It's the documentation feeding the model. Insights is how your leadership sees that gap before it becomes a board conversation about why the AI pilot stalled.
13%
of organizations are AI-ready according to Cisco's 2026 Index. The other 87% have a documentation problem they can't see without continuous measurement.
Static surveys take months. Insights reads your live corpus daily.
Cisco AI Readiness Index 2026
Three executive questions
What Insights answers for leadership
01
Where are the gaps that will break our AI rollout?
Continuous gap detection across IT Glue, Hudu, Confluence, SharePoint, and Drive. Ranked by ticket frequency and AI-readiness impact.
02
How do we compare to peer organizations?
Industry benchmarking against anonymized peer data. See where your AI-readiness sits relative to your industry and your size cohort.
03
Are our knowledge investments paying down or piling up debt?
Time-series tracking of every signal. See which docs got better, which decayed, and where the team's last quarter of effort actually moved the needle.
What you receive
The artifacts of an Insights subscription
AI-Readiness Scorecard
Composite score plus 7-signal breakdown. Updated daily. Shareable with the board.
Monthly Coverage Report
Executive PDF artifact summarizing what improved, what decayed, and where to invest.
Surfaced Dossier
Per-team, per-source health snapshots. Drill into specific gaps and stakeholders.
Slack/Teams alerts
Threshold-based alerts when the scorecard drops or critical gaps emerge.
Cross-source & segment analytics
Compare coverage across business units, customer segments, or doc systems.
Industry benchmarking
See where your AI-readiness sits relative to peer organizations in your size and industry.
Time-series drill-downs
Track how every signal moved over time. Quarterly check-ins, board prep, OKR tracking.
Scheduled custom reports + data export
Cron-style reporting cadence. Raw data export for your own BI tools.
Passive ticket analysis
Reads ticket signal directly. No technician participation required to start measuring.
How it works
Passive. No technician participation required.
The most important thing about Insights: your technicians don't need to use anything new. There's no in-ticket sidebar, no pod, no agent-side resolution UI. Insights is read-only observation for leadership.
1
Connect your ticketing system + doc sources
Read-only credentials. We never write back.
2
Insights reads continuously
Daily corpus profiling, daily scorecard updates, monthly executive report generation.
3
Leadership receives the artifacts
Web dashboard, scheduled email reports, Slack/Teams alerts. Your team focuses on operations; you focus on strategy.
Where Insights fits
Insights vs Resolve + Studio
| Capability | Resolve + Studio | Insights |
|---|---|---|
| Knowledge Health (composite + 7-signal gap detection) | ✓ | ✓ |
| Doc Rebuild + Doc Builder | ✓ (credits) | ✓ (credits) |
| Resolution impact tracking | ✓ | ✓ |
| In-ticket Studio nudges | ✓ | n/a (no sidebar) |
| Passive ticket analysis (no technician input) | − | ✓ |
| Surfaced Dossier (executive view) | − | ✓ |
| Coverage Report (monthly executive PDF) | − | ✓ |
| AI-Readiness Scorecard | − | ✓ |
| Cross-source / segment analytics | − | ✓ |
| Industry benchmarking | − | ✓ |
| Time-series drill-downs | − | ✓ |
| Slack/Teams alerts | − | ✓ |
| Scheduled custom reports + data export | − | ✓ |
A buyer running Resolve + Studio can layer Insights for the executive view. A buyer who can't or won't deploy Resolve (regulated environment, no helpdesk integration) can run Insights standalone (passive analysis only).
The 2026 macro shift
Most AI rollouts in operations fail at the documentation layer.
"60% of enterprises cite hallucination as the primary barrier to scaling AI into production. The cause is documentation quality, not model quality."
For IT and operations teams, this translates into a specific frustration: the AI tools you have piloted (Microsoft Copilot, Glean, ChatGPT, in-helpdesk AI) work in demos and fall apart on your real corpus. The documentation exists. The AI cannot use it well enough. The team stops trusting it.
Insights is the layer below the model: continuous documentation profiling, AI-readiness scoring, and gap surfacing, designed for the executive who has to answer for whether the AI initiative will work.
Built for executive trust
How Insights handles your data
Tenant isolation
Your ticketing data and documentation are never mixed with another customer's. Every analysis stays inside your tenant.
No cross-customer training
Your data is not used to train models that other customers benefit from. Industry benchmarks use anonymized aggregates only.
Read-only by design
Insights observes. It does not write to your ticketing system or your knowledge sources. No corpus modifications without separate Studio engagement.
SOC 2 in progress
Attestation is on the near-term roadmap. For buyers who require SOC 2 today, talk to us about timeline. For others, the product runs now under direct contract terms.
Reading
AI-readiness deep dives
The thinking behind Knowledge Insights, and how to evaluate your own documentation against the AI-readiness signals before your AI rollout breaks on them.
What Is AI-Ready Documentation?
The six signals AI accuracy depends on, with examples.
Why Most RAG Projects Fail
Five concrete failure modes for AI in operations, including documentation gaps.
Documentation Health Score
How to grade your knowledge base for AI accuracy.
How to Make Your Confluence AI-Ready
Six signals applied to Confluence specifically.
How to Make Your Google Drive AI-Ready
Six signals applied to Drive specifically.
Frequently asked questions
What is Knowledge Insights?
Knowledge Insights is the executive read-out of your AI-readiness program. Connects to your ticketing system and your documentation sources, then reads continuously. Tells leadership where the gaps are, how you compare to peers, and whether your AI rollout will actually work.
How is Insights different from Resolution Engine and Knowledge Studio?
Resolve and Studio require technician participation. Insights is participation-free: passive analysis of your ticketing system and doc corpus.
What does Knowledge Insights produce?
AI-Readiness Scorecard. Monthly Coverage Report. Surfaced Dossier. Slack/Teams alerts. Cross-source analytics. Industry benchmarking. Time-series drill-downs. Scheduled custom reports + data export.
Who is Knowledge Insights for?
CIOs, CTOs, VP Ops, fractional CTOs at MSPs, and board-facing IT leadership.
Does Insights require SOC 2?
SOC 2 is in progress and a strength, not a gate. For buyers who require it today, talk to us about the timeline.
How does pricing work?
Contact us for pricing and demo. Insights is sales-driven with custom contracts based on your environment.
How is this different from Cisco's AI Readiness Index or Microsoft's AI assessment?
Cisco and Microsoft offer one-time strategic assessments based on surveys. Insights is continuous: reads your live ticketing system and documentation in real time.
Ready to see your own AI-readiness scorecard?
Insights is sales-driven. Tell us about your environment (ticketing system, doc sources, scope) and we'll set up a demo with your data.
Contact for Pricing & Demo