Contradiction
Detection.
Data drift is silent. WUF.AI continuously cross-references every new document against your canonical Knowledge Graph to instantly detect contradictions before they cause damage.
The Conflict Engine
How we catch what humans miss.
Continuous Scanning
Every time a document is updated in your connected silos (Drive, Slack, GitHub), WUF.AI extracts the new facts and compares them to the baseline.
Semantic Comparison
We don't just look for exact string mismatches. We use LLMs to determine if two facts are semantically contradictory (e.g., "$499/mo" vs "under $500/mo" is not a conflict, but "$499/mo" vs "$599/mo" is).
Severity Scoring
Conflicts are scored based on certainty and business impact. A typo in an internal wiki is low severity; a pricing mismatch on your public website is critical.
Intelligent Triage
When a conflict is detected, WUF.AI doesn't just throw an alert. It provides the context needed to resolve it quickly, using source authority heuristics to suggest the correct truth.
- Source Authority RankingA signed PDF contract outranks a Slack message. The engine uses your defined source hierarchy to suggest which fact is correct.
- Side-by-Side EvidenceReview the conflicting snippets directly in the UI, complete with links to the original documents.
- One-Click PatchingOnce you decide which fact is correct, seamlessly transition into the Patching workflow to fix the incorrect document.
Custom Detection Rules
Not every contradiction matters. Define custom rules to focus the engine on the data points that are critical to your business.
- Targeted MonitoringTell WUF.AI to specifically monitor pricing, compliance claims, or feature availability across all documents.
- Sensitivity ThresholdsAdjust the LLM's sensitivity. Require a 99% certainty score before flagging a conflict, or lower it to 80% for broader coverage.
Intelligent Routing
Don't let alerts get lost in a dashboard. Route conflicts directly to the teams responsible for the conflicting documents.
- Multi-Channel AlertsSend notifications via Slack, Email, Teams, or PagerDuty based on the severity and domain of the conflict.
- Ticket IntegrationAutomatically create Jira or Linear tickets with the full context of the conflict and a link to the resolution UI.
False Positive Mitigation
Alert fatigue is real. WUF.AI uses advanced techniques to ensure you only see real contradictions.
Temporal Awareness
The engine understands time. A Q1 report stating revenue was $1M does not contradict a Q2 report stating revenue is $1.5M.
Entity Disambiguation
It knows that "Apple" the fruit and "Apple" the company are different entities, preventing spurious conflicts.
Feedback Loops
When you mark a conflict as "Ignore" (false positive), the engine learns and adjusts its thresholds for your specific data.
Stop The Drift.
Catch contradictions before they become customer complaints or compliance violations.