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Knowledge Base Quality Assurance
(KB Watchdog)

Monitors your KB for contradictions and duplication so your AI answers stay accurate and support deflection improves. Powered by Hybrid Graph + Vector DB.

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Why Knowledge Base Quality Determines AI Accuracy

Your knowledge base is the foundation of every AI answer. When it drifts or contradicts itself, accuracy falls and support costs rise.

The Risks: Drift, Duplication, Contradictions

  • Small KB changes cascade into wrong answers
  • Higher escalations and support tickets
  • Increased returns from incorrect guidance
  • Compliance risks from outdated policies

Business Impact Across Teams

  • Support: Lower deflection rates, frustrated customers
  • Engineering: Constant rework to fix inconsistencies
  • Ops/Legal: Risk of conflicting policies and compliance issues

Meet KB Watchdog

Your automated guardian for knowledge base consistency and accuracy.

Continuous Monitoring & Smart Alerts

Automated scans run on every content create or update, plus scheduled sweeps. Get instant Slack or email alerts when issues are detected.

Contradiction Detection

When new content conflicts with existing information, Watchdog flags it immediately with evidence snippets showing exactly what contradicts what.

Human-in-the-Loop Review Workflow

Fast fixes with receipts. Each flag links to the exact sentences and sources for quick review and resolution.

How It Works: Hybrid Graph + Vector

A sophisticated dual-layer approach that ensures both structural and semantic consistency.

KB Watchdog Process Flow Diagram

Source → KB Watchdog → Graph & Vector KB: continuous QA on create/update with smart alerts and URL checks.

  • Enforced Consistency (Entity Graph) Blocks impossible states (e.g., "SKU X in two collections") so facts stay aligned.
  • Conflict & Duplicate Radar (Vector Similarity) Surfaces contradictions and near-duplicates even when wording differs, reducing answer variance.
  • One Truth Across Systems (Reconciliation) Keeps Shopify, Zendesk, Intercom, and internal KBs in sync so customers see the same facts everywhere.

What KB Watchdog Flags

Comprehensive detection across all the quality dimensions that matter.

Conflicting Facts & Policy Mismatch

Catches discrepancies in pricing, returns windows, warranty lengths, SLAs, and other critical policy details.

Out-of-Date or Orphaned Content

Flags content based on staleness thresholds, identifies products no longer sold, and highlights deprecated features.

Duplicates & Near-Duplicates

Surfaces redundant content with consolidation suggestions to reduce answer variance and confusion.

Broken References & Missing Fields

Detects 404 links, missing specifications, incomplete data tables, and broken product references.

Dashboards & QA Analytics

Real-time visibility into your knowledge base health with actionable insights.

98%
Quality Score: Consistency, Freshness, Coverage
↑45%
Deflection-Readiness Improvement
24/7
Revenue & Risk Lens Monitoring

Exports & Change Log

Full audit history and exportable reports for compliance, team reviews, and continuous improvement tracking.

Handover-Aware Operations

Seamless integration with your support workflow for efficient issue resolution.

From Flag to Ticket

When severity is high, Watchdog auto-creates tickets in Zendesk or Intercom, complete with AI summary and suggested fix.

Human Resolution Feeds the KB

On ticket close, Watchdog proposes a KB update based on the resolution. Content owner approves and merges.

Closed-Loop Learning

Re-scans impacted intents automatically. Shows "issue resolved" confirmation in dashboard so you know the problem is fixed.

Who Benefits

KB Watchdog delivers measurable value across different business models.

B2B SaaS: Higher Ticket Deflection

Fewer contradictory articles mean more accurate AI answers, faster agent approvals, and lower escalation rates.

Shopify & Shopify Plus: Fewer Wrong-Fit Returns

Cleaner, more consistent pre-purchase answers help customers choose correctly the first time.

Industrial Distributors & Manufacturers: Spec-to-Part Clarity

Ensures spec sheets, part numbers, and compatibility tables agree across all your data sources.

Architecture & Security

Enterprise-grade infrastructure designed for reliability and data protection.

Data Flow Overview

Secure ingestion from your platforms → hybrid processing (graph + vector) → flagging engine → review dashboard → resolution workflow.

Isolation & Encryption

Tenant isolation ensures your data stays separate. Encryption in transit (TLS) and at rest (AES-256) for all knowledge base content.

Compliance Posture

GDPR-ready, UK/EU hosting options, role-based access controls, audit trails, and data processing agreements available.

Integrations

Connect seamlessly with your existing knowledge management and support tools.

Shopify

Product catalogue, attributes, and returns policy sync. Ensures your product data stays consistent with KB content.

Zendesk

Guide articles monitoring, ticketing workflow integration, and alerts to agents when contradictions are detected.

Intercom

Articles monitoring and operator handoff workflow. Flags issues before they reach customers.

Custom Connectors & APIs

Webhooks for real-time updates, REST APIs for data import/export, and custom connector development for your specific platforms.

Comparison: Common Alternatives vs KB Watchdog

See why hybrid graph + vector approach outperforms traditional methods.

Approach Pros Cons
Manual Editorial Guidelines Simple to understand Slow to scale, misses cross-page conflicts, high human effort
Vector-Only RAG Pipelines Quick semantic retrieval Lacks entity constraints → higher contradiction risk, no structural validation
Generic QA Checks in CMS Basic hygiene (spelling, links) Blind to multi-source factual conflicts, no semantic understanding
KB Watchdog (Hybrid Graph + Vector) Structural truth + semantic similarity = comprehensive detection Requires initial setup, but delivers continuous automated value

Why Hybrid Graph + Vector Wins

Combines structural validation (graph relationships) with semantic understanding (vector similarity). Catches both logical contradictions and subtle wording conflicts. Scales automatically as your KB grows.

Customer Proof

Real results from companies using KB Watchdog.

Math Angel (math-angel.io) - Snapshot

Fast-growing UK maths edtech platform using AI Tech's agent and dashboard. KB Watchdog helps keep tutor answers and catalogue data consistent across frequent content updates. As an education client, they demonstrate our ability to build structured knowledge graphs, integrate user and product data, and deliver accurate, personalised retrieval at scale.

Testimonial

"KB Watchdog has been a game-changer for maintaining consistency as we scale our content. It catches contradictions we'd never spot manually, keeping our AI answers accurate and our team efficient."

- Math Angel Team

Implementation Approach

A structured process to get you up and running quickly.

1

Connect Sources & Baseline Scan

Connect Shopify, Zendesk, Intercom, and any custom sources. Run the first comprehensive scan to establish your KB health baseline and produce a prioritised issue list.

2

Remediation Sprint

Tackle high-severity contradictions and quality issues first. Enable alerting for new issues so your team stays on top of changes.

3

Roll-Out & Training

Admin training for your content team, define content owners, and establish a regular review cadence for ongoing quality maintenance.

Pricing & Next Steps

Flexible options to fit your needs, whether standalone or bundled with other AI Tech solutions.

Plans & Licensing

KB Watchdog is available standalone or bundled with our AI support agent. Pricing varies by KB size, scan frequency, and number of integrations. Contact us for a custom quote.

Book a Consultation

No obligation, 30-45 minute consultation. We'll review your KB, discuss success criteria, and scope a proof of concept tailored to your needs.

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FAQs

Standard RAG (Retrieval-Augmented Generation) focuses on retrieving semantically similar content. KB Watchdog extends this by adding graph-based consistency checks, governance workflows and proactive monitoring.

No. Watchdog flags issues and proposes fixes, but humans always approve changes. You maintain full control over your content.

Cross-source reconciliation is a core feature. Watchdog flags contradictions across Shopify, Zendesk, Intercom, and any custom systems you connect.

Yes. Detection and flagging work in multiple languages. Governance and review workflows remain human-approved in your team's preferred language.

Track metrics like flagged contradictions resolved, fall-throughs to human handover, AI answer accuracy, and support deflection rates. Dashboards are included.

Tenant isolation for multi-customer environments, encryption in transit (TLS) and at rest (AES-256), UK/EU hosting options, and GDPR-ready data processing agreements.

Related Resources

Explore more of our technology and see how everything works together.

Retrieval Accuracy

Learn how our hybrid graph + vector approach delivers superior accuracy compared to vector-only solutions.

Learn more →

Security & Compliance

Comprehensive overview of our security architecture, compliance posture, and data protection measures.

Learn more →

Integrations

See all available integrations with Shopify, Zendesk, Intercom, and custom API options.

Learn more →

Case Studies

Real-world examples of how companies are using KB Watchdog and our AI agent to improve support.

Coming soon →

Ready to Guarantee KB Accuracy?

Keep your knowledge base consistent, your AI answers accurate, and your support deflection high.

Book a Consultation
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