AI implementation knowledge center
Practical guidance for AI systems that must work in production
Technical guidance on enterprise RAG, system integration, permissions, evaluation and human review—written around production constraints rather than demonstrations.
- Publisher
- Hangzhou Leadpeng Technology Co., Ltd.
- Reviewed by
- Leadpeng technical team
- Last updated
- 2026-09-22
- Principle
- Evidence, boundaries and measurable outcomes
Start with the decision you need to make
Each guide answers one implementation question and provides a checklist that can be used in discovery, solution review and acceptance.
Building an Enterprise RAG Knowledge Base: From Content Governance to Sourced Answers
A practical framework connecting content governance, retrieval, permissions, citations and evaluation in enterprise RAG systems.
Read the guide →02How AI Agents Integrate with ERP, CRM, Websites and Business Systems
A staged approach to integrating AI agents with existing systems, from read-only retrieval and drafting to controlled actions.
Read the guide →03How to Evaluate AI Agent Security, Permissions and Quality Before Launch
A launch-readiness framework covering correctness, access boundaries, prompt injection, tool use, human review and operational metrics.
Read the guide →Need to assess a real AI use case?
Bring representative workflows, source material and expected outcomes. We can identify a controlled first scope.