Ariglad
Auto-update and create knowledge base articles with AI
Founded
2023
Starting Price
Free
Category
Customer Support
Last updated April 29, 2026
About Ariglad
Ariglad is an AI platform that analyzes support tickets, release notes, and internal documents to automatically identify gaps in your knowledge base, generate new articles, update outdated ones, and merge duplicates. Built for support teams that want their docs to stay current without constant manual upkeep.
Pros & Cons
Pros
- Removes the manual grind of auditing and updating knowledge base articles
- Uses real support tickets as the signal for what content is missing or stale
- Improves AI chatbot accuracy by keeping the underlying KB clean
- Strong native integrations with major help desks (Zendesk, Intercom, Salesforce, ServiceNow)
- Draft-first workflow keeps human reviewers in control
Key Features
Smart Article Updates
Detects outdated or incomplete articles by analyzing real support tickets and suggests targeted improvements.
Automatic Article Generation
Identifies untapped topics from ticket data and drafts new knowledge base articles to fill those gaps.
Duplicate Merging
Finds overlapping or redundant articles and consolidates them into a single source of truth.
Ticket Analysis
Continuously processes support conversations to surface trends, FAQs, and content opportunities.
Draft Mode
All AI-generated and updated content is staged as drafts so human editors stay in the loop before publishing.
Help Desk Integrations
Connects with Zendesk, Salesforce, Intercom, Front, Jira, ServiceNow, and other support platforms.
AI Editing Actions
Inline AI actions for rewriting, expanding, summarizing, and improving existing knowledge base content.
Pricing
Free Trial
Free
- Try Ariglad before committing
- 100% first-month refund guarantee
- Connect a help desk integration
Business
Custom
Best For
Maintain a large existing knowledge base
Surface stale articles, fill content gaps, and merge duplicates across hundreds or thousands of help center articles.
Bootstrap a knowledge base from scratch
Generate the first wave of articles by analyzing past support tickets instead of writing everything manually.
Improve AI chatbot answer quality
Feed AI agents and copilots cleaner, more current source content so customer-facing answers stay accurate.
Reduce repetitive support tickets
Identify high-frequency questions without good public docs and ship targeted articles to deflect them.
