Search with evidence
Retrieve relevant source text and return citations and supporting context with the answer. Reviewers can move from a summary back to the material that supports it.
OvatioIQ Knowledge
Make enterprise answers easier to trust.
Help people find trusted information across scattered and changing sources. Knowledge keeps citations and source context visible so teams can inspect the evidence behind an answer.
Answers with visible source evidence, connected across the information your teams rely on.
Overview
Which answer should drive the decision?
Enterprise knowledge rarely lives in one clean, current repository. A policy may be revised in SharePoint while an older copy remains in a project folder. A contract may define one obligation while an operating guide describes another. Experienced employees know which source carries weight, but that judgment is hard to preserve when teams grow, experts leave, or AI enters the workflow.
OvatioIQ Knowledge is an evidence-linked knowledge foundation for that problem. It combines searchable source text with identified business concepts and the relationships among them. When the product returns an answer, it can also return the supporting source snippets, citations, and context a reviewer needs to inspect it. The goal is a better decision process: find relevant information, understand why it was selected, and verify it before relying on it.
Knowledge can stand on its own or support an existing AI experience through a tested integration. It does not require OvatioIQ Agent. This makes it useful for organizations that have already invested in AI but still struggle with scattered information, uncertain sources, or answers that are difficult to defend.
Capabilities
Turn enterprise content into inspectable knowledge.
Connect related facts
Represent named business concepts and discrete relationships alongside documents. This can help a team follow how a policy, client, obligation, project, or decision relates to other information.
Recognize source authority
Configure signals for systems, document types, workflows, or individual documents. Those signals can help rank sources when enabled, while the returned evidence remains visible for review.
Examine change over time
Inspect effective dates, point-in-time states, and history for selected records and questions. This helps reviewers distinguish current guidance from information that applied earlier.
Carry source permissions
The SharePoint connection can carry supported user and group permissions and withdraw removed content from search. Access withdrawal and retention behavior are confirmed separately for the agreed scope.
Serve other AI experiences
Authenticated HTTP MCP endpoints expose search and evidence functions. Compatibility, sign-in, group handling, and user experience are confirmed for the named assistant and edition.
Explore source and connector paths to see how SharePoint synchronization differs from controlled imports for other content types.
How it works
Start with a decision, then build the evidence path.
- Define the questions. Select questions that matter to a real decision and describe what a useful answer must include.
- Select the sources. Identify the systems and document sets that should contribute, which versions matter, and which sources should carry more weight.
- Prepare the knowledge. Supported content is synchronized or imported, made searchable, and connected to the business concepts and relationships it contains.
- Retrieve and review. Users ask questions and inspect the cited source material, related context, and configured authority signals returned with the answer.
- Test access and change. The evaluation checks representative identities, denied and revoked access, content withdrawal, and history-sensitive query paths before expansion.
The connection method matters. SharePoint can synchronize through Microsoft Graph for an agreed scope. Other named source options may use controlled imports rather than continuous synchronization. We make that distinction explicit when defining how content enters, changes, and leaves the experience.
Illustrative use cases
Apply Knowledge where evidence changes the quality of a decision.
See the illustrative Knowledge showcase for a closer look at the question, citation, source review, and permission-testing flow.
Regulated work
Make review easier without replacing accountable judgment.
Evidence-sensitive teams need more than a fluent response. They need to know which content was considered, whether the cited source is current enough for the decision, and whether the person asking should see it. Knowledge creates a reviewable path from answer to source and can carry supported permission state for the selected connection.
This can support work involving policies, procedures, contracts, confidential client information, and operational records. It does not certify an answer, guarantee accuracy, or replace legal, compliance, clinical, financial, or other qualified professional judgment. The organization remains responsible for deciding which sources are authoritative and what review is required.
Getting started
Evaluate the path from source to decision.
A focused evaluation begins with representative business questions, current and superseded source material, and at least two user roles. Together, we define the expected evidence, identify the connection method, and agree how success will be judged.
Answer usefulness
Can intended users find a relevant answer in the language and level of detail the decision requires?
Evidence quality
Do citations resolve to useful source context, and can reviewers identify conflicts, gaps, or weak support?
Access behavior
Do allowed, denied, changed, and revoked access scenarios behave as expected on every route being considered?
Information change
For time-sensitive questions, do the selected history views represent effective dates and superseded material as defined?
User fit
Can the intended team review the evidence efficiently in Knowledge or through the named existing AI experience?
Operating fit
Are source ownership, refresh, retention, support, and deployment responsibilities clear enough to proceed?
If the question, sources, and decision are already clear, we can discuss a scoped Knowledge evaluation directly. When the right path is unclear, an assessment can help define priorities and next actions. A client-specific proof of value may be appropriate when additional evidence is needed. Scope and commercial terms are discussed with an Ovatio salesperson.
FAQ
OvatioIQ Knowledge questions
How is OvatioIQ Knowledge different from generic chat over documents?
Knowledge brings retrieval, source evidence, and relationships together so reviewers can inspect the information behind an answer. Source authority, permission behavior, and historical context are evaluated for the selected configuration and query paths.
Which sources can Knowledge use?
SharePoint supports live synchronization for an agreed scope. Other source options may use a controlled import rather than a live connection. We confirm how each selected source connects, updates, handles permissions, and removes content before use.
Can Knowledge work with our existing AI assistant?
Knowledge can provide search and evidence to another AI assistant through a supported integration. We confirm compatibility, sign-in, access permissions and the experience for the assistant you use before making a commitment.
How do we get started?
Start with the business questions, sources, users, and decisions that matter. We then determine whether an assessment or a direct Knowledge discussion is the right next step.
Which business question is hardest to answer with confidence?
Start with a conversation about your business priorities. We will clarify the need and determine whether an assessment or a direct product discussion is the right next step.