Vartika Pandey

A Knowledge Manager with 5+ years of experience building structured, AI-ready knowledge systems in regulated and fast-moving environments. Background spans KM programme design, information architecture, and compliance-aligned documentation — with hands-on experience restructuring multi-product help centres and customer service knowledge bases, expertise in process alignment, building taxonomy frameworks, and optimising content for RAG-based retrieval.

Before moving into fintech, several years were spent in technical publishing and consulting, helping publish over 200 research papers and managing knowledge workflows at Gartner. The approach is systematic and evidence-grounded: starting with how information is actually used, then building structures that hold up under scale and change.

• Help centre or knowledge base audit — reviewing your existing content structure for findability gaps, duplication, and taxonomy inconsistencies, with a clear action list of what to fix first.
• Information architecture design — building or rebuilding the structural logic of your knowledge base, including category hierarchies, tagging systems, and content templates that scale.
• AI-readiness assessment for knowledge systems — evaluating whether your content is structured for effective retrieval in RAG-based or AI-assisted tools, and identifying what needs to change before implementation.
• KM governance framework — designing the policies, roles, and workflows that keep your knowledge base accurate, maintained, and consistently used — not just launched and abandoned.
• Taxonomy and metadata design — creating controlled vocabularies and metadata schemas that make your content discoverable across teams and tools.

Open to project-based engagements outside these formats.