AI Knowledge Base for Teams
Make everything your company has already written usable. Workisy indexes policies, handbooks, procedures, and shared drives into one AI knowledge base that answers plain-language questions with the exact passage, source document, and revision date behind every response.
Features
Powerful Capabilities, Built for Scale
Every tool you need to run a world-class operation, from day one to enterprise scale.
Unified Content Ingestion
Index documents wherever they already live — shared drives, wikis, intranet pages, PDFs, spreadsheets, and slide decks — without forcing a migration project first. Content stays in its home system and is re-indexed as it changes.
Meaning-Based Retrieval
Questions are matched on meaning rather than keyword overlap, so asking about time off surfaces the leave policy even when the words never line up. Employees find the right passage without knowing your internal vocabulary.
Cited, Traceable Answers
Every response names the source document, section, and revision date it drew from. Nobody has to trust an unattributed paragraph on a topic with compliance or contractual consequences.
Permission-Aware Results
The knowledge layer inherits access rights from the underlying repositories, so a person only sees answers built from content they were already cleared to open. Compensation bands and legal files never leak through a search box.
Conflict and Staleness Detection
The system flags documents that contradict each other and content that has passed its review date. Knowledge owners get a concrete cleanup queue instead of a vague instruction to tidy the drive.
Drafting From Existing Knowledge
Generate summaries, onboarding briefs, and first-draft procedure documents that pull directly from approved source material. New articles start from what the organization already knows rather than a blank page.
Review and Publishing Workflow
Articles move through owner assignment, scheduled review cycles, and approval before they become answerable. The knowledge base stays curated as it grows instead of turning into another unmaintained folder.
Gap and Usage Reporting
See which questions get asked most, which return low-confidence answers, and which documents nobody has opened in a year. Content investment goes where employees are actually blocked.
How It Works
Up and Running in Three Simple Steps
Point It at Your Repositories
Connect the drives, wikis, and document stores that hold your operating knowledge, and let the indexer read the existing folder structure and permission model as it goes.
Curate Sources and Assign Owners
Mark which collections are authoritative, retire duplicates the conflict report surfaces, and give each topic area a named owner responsible for keeping it current.
Open It Up and Watch the Questions
Roll out plain-language search to your teams, then use the gap report to write the handful of missing articles that account for most unanswered queries.
A closer look at Workisy AI knowledge base
Your organization already knows the answer — it just cannot find it
Operating knowledge in most companies is spread across a shared drive nobody has reorganized since a reorg, a wiki with three competing pages on the same subject, and the memory of two long-tenured colleagues. New joiners ask in chat because searching is slower than interrupting someone. Workisy indexes that material where it sits and turns it into something a person can question directly, returning the specific paragraph that settles the matter along with the document it came from.
Making documents answerable depends on reading them properly first — layout, tables, appendices, and scanned pages all carry meaning that a naive text dump loses. That parsing layer is shared with intelligent document processing, which is why complex source material behaves as well in retrieval as a clean web page does.
Governed knowledge, not an unaudited pile of files
An AI that answers confidently from an outdated policy is worse than no AI at all, because people stop verifying. Workisy treats currency as a first-class concern: documents carry owners, review dates, and version history, and content past its review window is flagged before it is cited. Where two sources disagree, the system says so rather than quietly favoring whichever it read last.
That governance sits naturally on top of the structures you already maintain in documents and policies, where approvals, acknowledgments, and retention rules are managed. The knowledge layer reads from the approved set, so what employees are told matches what has actually been signed off.
One knowledge source, many places it gets used
A knowledge base is infrastructure rather than a destination. Once your content is indexed and governed, the same answers can surface inside a chat assistant, an onboarding checklist, or a manager's approval screen — always drawn from one curated source, so a policy update propagates everywhere at once instead of being re-explained in five channels.
The same foundation powers customer-facing work: the answer engine behind AI customer service retrieves from a curated content set in exactly this way. Explore the full AI solutions suite, or book a walkthrough to see your own documents indexed in a working pilot.
Results That Speak for Themselves
Measurable Impact on Your Business
To Locate an Authoritative Answer
Source of Truth Across Systems
Fewer Repeat Internal Questions
FAQ
Frequently Asked Questions
Ready to See It in Action?
Book a personalized demo and discover how Workisy can transform your operations in weeks, not months.