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#25 Wiki

Internal onboarding wiki with intelligent search

SharePoint site with lists per topic, semantic AI search web part, and a "recommended reading" that builds itself based on the employee's role.

Implementation: 6-8 weeks 5 technologies
The pain

What it costs you today

In a 1,000-employee firm the employee manual is a 220-page PDF published in 2019 that nobody opens, and every operational question (how to request vacation, expense a meal, request an access) lands in Slack where 3 people give 3 different answers. HR and IT lose 25 to 35 hours a week answering the same questions, and when a procedure is updated the old one keeps circulating printed in every manager's office. SharePoint native search returns results with no relevance order, while the real data lives in a SharePoint nobody knows how to index. "Every operational question costs 3 Slack messages and half a day" is the metric everyone knows. What is the productivity cost of a manual nobody uses?

The value

What changes when you have it

A wiki structured by SharePoint lists (HR, IT, Finance, Legal, Operations) with an AI semantic-search web part that understands natural-language questions and returns the right procedure ordered by relevance and validity. The system automatically builds a recommended-reading section for the employee's role based on department and tenure in Dataverse, and each article shows author, last update date and approver with a usefulness score. The visible output is the wiki site with integrated AI search plus a per-team adoption dashboard. The solution is in production at a 2,400-employee services firm where the wiki receives 18,000 queries a month and repetitive questions in Slack fell 70%. The investment pays back inside the first quarter.

Stack
Technologies we touch in the implementation
SharePoint OnlineSPFxReactAI SearchPnP PowerShell
Internal onboarding wiki with intelligent search
#25 · Wiki

AI semantic search + role-based recommended reading

Technical references
Wiki

I want to implement this

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