Stop Guessing Whether Your Knowledge Supports AI. Measure It.
Stop Guessing Whether Your Knowledge Supports AI. Measure It.
Benchmark knowledge quality, uncover the gaps limiting AI and support performance, and build a prioritized path to measurable improvement.
Organizations are investing heavily in AI, copilots, self-service, and customer support automation. Yet many initiatives fall short because the underlying knowledge is incomplete, inconsistent, difficult to find, or not structured for AI consumption.
The Knowledge Assessment Program gives you a clear, measurable understanding of how well your knowledge supports agents, customers, and AI-powered experiences. Using standards-based scoring and expert analysis, we evaluate your most valuable content, identify opportunities for improvement, and provide a roadmap to stronger business outcomes.
You’ll Discover
- How AI-ready your knowledge content really is
- How consumable the knowledge is for human teams that rely on it
- Where agents lose time searching, validating, or interpreting answers
- Which content improvements will have the greatest business impact
- How to establish a benchmark and prove measurable improvement over time
- A prioritized roadmap for knowledge modernization and governance
Why It Matters
AI is only as effective as the knowledge behind it.
When content is outdated, duplicated, unstructured, or difficult to interpret, the result is:
- Inconsistent AI responses
- Lower agent productivity
- Poor self-service experiences
- Higher support costs
- Difficulty proving ROI from AI investments
The Knowledge Assessment Program helps uncover and eliminate these barriers so your knowledge becomes a strategic asset rather than a business risk.
Request a Knowledge Maturity Assessment
Request a Knowledge Maturity Assessment
What You’ll Receive
| Comprehensive Knowledge Quality Assessment | We evaluate a targeted sample of your high-value content across human readability, actionability and business impact, and AI readiness. Every article receives an objective score using recognized knowledge-management and content-quality standards. |
| Executive Findings Report | Gain visibility into top knowledge gaps, root causes affecting AI and support operations, content quality trends, business risk areas, and improvement opportunities. |
| Prioritized Remediation Roadmap | Know exactly where to focus first based on usage, business impact, search behavior, and content quality findings. |
| Benchmark & Validation | Establish a measurable baseline and validate the impact of improvements through re-assessment and comparative scoring. |
Expected Outcomes
Organizations that improve knowledge quality are better positioned to:
✓ Increase self-service success
✓ Accelerate agent onboarding
✓ Improve first-contact resolution
✓ Increase customer satisfaction
✓ Reduce cost-to-serve
✓ Reduce operational and compliance risk
✓ Improve AI answer quality
✓ Build a clearer investment roadmap
Who Should Participate?
This assessment is ideal for organizations that are:
- Deploying AI assistants, copilots, or generative AI initiatives
- Investing in self-service and customer support automation
- Looking to improve contact center productivity
- Modernizing knowledge management practices
- Trying to measure the business impact of AI and knowledge initiatives
