Employees often spend significant time searching for policies, procedures, and institutional knowledge. An internal knowledge assistant POC tests whether generative AI can make that information faster and easier to access.

Designing a Focused Knowledge Assistant POC

Effective POCs usually start with a bounded domain — for example, HR policies, engineering runbooks, or product documentation. The system is grounded in approved sources, returns citations where possible, and escalates when it cannot answer confidently.

Access controls must respect existing information permissions from the beginning.

Success Metrics That Matter

Useful measures include:

• Percentage of questions answered correctly
• Time saved compared with manual search
• User satisfaction and repeat usage
• Rate of escalations or “I don’t know” responses
• Feedback on answer clarity and trustworthiness

These indicators show whether the assistant is genuinely helpful or still too unreliable for daily use.

Learning for Broader Rollout

A strong POC reveals gaps in documentation quality, retrieval performance, and user expectations. It also surfaces requirements for ongoing content maintenance and access governance.

Organizations that want to test internal knowledge assistants can do so with limited scope and clear evaluation. GlobalNodes Generative AI POC Services include internal knowledge assistants for enterprise search, documentation access, and internal support workflows.

Internal assistants deliver value only when employees trust and actually use them.