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Knowledge Base Agent

Institutional knowledge layer — the source of truth every other agent reads from

IT & Campus Operations

Overview

The Knowledge Base Agent is the institutional knowledge layer that every other Ibex agent reads from. It ingests your policy library, process documentation, FAQ pages, course catalog, faculty handbook, student handbook, and HR manuals — and keeps them all current. When a policy is updated in your CMS or document store, the agent re-indexes within minutes. When two policies conflict, it flags the contradiction. When students or staff repeatedly ask a question that isn't in the knowledge base, the agent surfaces the gap so your team can write the answer once.

How Knowledge Base Agent Works

  1. Connect — Read-only integration with your source systems; data stays inside your perimeter.
  2. Monitor — Continuous analysis of relevant signals against your institutional baseline.
  3. Recommend — Prioritized actions with explainable reasoning and projected impact.
  4. Act — Human-approved actions execute through existing systems, with full audit trail.

Integrations

SharePoint, Google Drive, Confluence, Notion, your CMS (WordPress, Drupal, Cascade, Sitecore), policy management systems, and any of your existing intranet platforms.

Key Metrics Tracked

  • Policy artifacts indexed
  • Contradictions flagged
  • Knowledge gaps surfaced
  • Agent grounding coverage rate

Engagement Model

FERPA-compliant. Human-in-the-loop. Zero upfront cost — pay only for measurable results.

Frequently Asked Questions

How is this different from a regular knowledge base?
It's not a place to store articles — it's a layer that reads from where your knowledge already lives, keeps it synced, flags conflicts, and serves it to other agents grounded in source citations.
Does it replace our intranet?
No. It reads from your existing systems (intranet, SharePoint, CMS) without requiring a migration.
How does it handle conflicting policies?
When two sources disagree, the agent flags the contradiction with both source citations and routes to the policy owner for resolution.
Is this FERPA-compliant?
Yes. Every Ibex AI agent operates inside your institution's data perimeter with role-based access controls, full audit logging of every action, and human-in-the-loop oversight on student-affecting decisions. Student data is never used to train external models.
What does 'zero upfront cost' mean?
We deploy the agent, integrate it with your systems, and prove measurable results before you pay. Pricing is tied to outcomes specific to the agent — recovered tuition, hours saved, errors prevented, or comparable institutional metrics.
How long does deployment take?
Most agents are live in 4–8 weeks: 1–2 weeks for systems integration and data access, 2–4 weeks for tuning against your historical patterns, and 1–2 weeks of supervised pilot before full operation.
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