WikiSure™

Beta

Find Semantic Drift Before Your AI Does

Organizations often assume that teams, systems and AI use the same business terminology. In reality, the same terms frequently carry different meanings across departments, applications, APIs and documentation.

This creates semantic drift.

Humans often compensate for these inconsistencies. AI systems cannot.

WikiSure helps organizations discover semantic drift before it impacts reporting, automation, interoperability and AI outcomes.

Workflow

Inputs

Business GlossariesData DictionariesAPI SpecificationsPoliciesDocumentation
  1. WikiSure™Discovery
  2. Semantic Drift ReportFindings
  3. WikiSure™Governance
  4. Governed MeaningTrusted AI

Why Semantic Drift Matters

Inconsistent meaning becomes operational risk.

Conflicting Definitions

The same term may mean different things across departments.

AI Misalignment

AI systems can produce inconsistent outputs when meanings differ.

Reporting Inconsistency

Metrics and business concepts may not be interpreted consistently.

Governance Challenges

Organizations struggle to govern what is not clearly defined.

Try the Mock Upload

Select up to five file types to preview the flow.

This is a non-functional preview. No files are uploaded or processed.

Supported file types

0 / 5 selected

Preview only — no upload, no processing, no data leaves your browser.

How the MVP Works

Six steps from raw inputs to governed meaning.

  1. 1

    Upload Files

    Upload up to five files.

    Excel · PDF · Word · CSV · JSON · OpenAPI

  2. 2

    Extract Concepts

    WikiSure identifies business terms and definitions.

  3. 3

    Compare Meaning

    Definitions are compared across sources.

  4. 4

    Detect Drift

    Semantic inconsistencies are identified.

  5. 5

    Generate Report

    Alignment scores and conflict summaries are generated.

  6. 6

    Prepare Governance

    Suggested canonical definitions are prepared for WikiSure.

Example Semantic Drift Report

A preview of what WikiSure produces.

Semantic Alignment Score

64%

AI Risk

Medium

Governance Readiness

42%

Detected Conflict

Customer

Sales Definition

An organization with an active opportunity.

Finance Definition

An entity generating recognized revenue.

Support Definition

An account with an active service relationship.

Assessment

The term is shared but interpreted differently across business functions.

Recommended Action

Create an enterprise-level canonical definition and govern domain-specific qualifiers.

MVP Capabilities

Term Extraction
Definition Comparison
Semantic Drift Detection
Alignment Scoring
AI Risk Assessment
Canonical Definition Suggestions

Metadata-First Analysis

Metadata-First Analysis

WikiSure is designed to analyze terminology, definitions and metadata rather than operational records.

Users should avoid uploading personal information or sensitive customer data during beta testing.

Uploaded files are treated as confidential and used only for the requested analysis.

WikiSure focuses on meaning, not personal data.

Roadmap

  1. Phase 1

    File Upload & Semantic Drift Detection

  2. Phase 2

    SharePoint, Confluence and API Connectors

  3. Phase 3

    Governance Recommendations

  4. Phase 4

    WikiSure Integration & Semantic Resolver

Discover Before You Govern

WikiSure helps organizations discover semantic drift.
WikiSure helps organizations govern meaning.

A SynsureTech product · WikiSure

WikiSure™ is designed for secure semantic governance. Your documents remain private, encrypted and under your control. Security & Trust →
WikiSure™ Insurance | Early Access