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Ariglad: AI Knowledge Base Management

Ariglad helps businesses maintain self-service documentation by automating article updates. It is designed for companies looking to reduce support ticket volume by keeping their knowledge base current.

At a glance

Best for
Small businesses, Mid-market companies, Enterprise companies, Customer support teams, Customer experience (CX) managers
Pricing
A free trial account is available. The company offers a 100% refund of the first month if suggested approvals do not meet expectations. Buyers should confirm current pricing on the vendor website.
Key use cases
Maintaining large knowledge bases, Building a knowledge base from scratch, Supporting AI chatbot accuracy, Reducing support ticket volume
Integrations
Zendesk, Confluence, Notion, Slack, HubSpot
Official website
ariglad.com
Screenshot of ariglad website

Ariglad is an AI-powered platform designed for the maintenance of a company's knowledge base. It analyzes support tickets, product release notes, and internal Slack conversations to identify where documentation is missing or outdated.

The tool supports businesses that have an existing knowledge base that needs maintaining, as well as those starting from scratch. It can create new articles when customers ask about topics without existing coverage and suggests improvements to content based on support data.

For teams using AI chatbots or copilots, the platform is designed to keep the underlying knowledge source updated, which may help those tools provide more accurate responses. It also includes a feature to merge duplicate articles to keep the library organized.

Buyers should confirm how the approval workflow fits into their existing review process, as the tool generates suggestions and drafts for user oversight.

Key Features

Auto-create articles

Generates new knowledge base articles when customers ask about topics that lack existing documentation.

Smart article updates

Identifies knowledge gaps in current articles and suggests improvements using information from support tickets.

Draft mode

Generates initial drafts for new articles to help maintain consistency.

Duplicate merging

Identifies and merges duplicate articles to keep the knowledge base lean.

AI Actions

Supports automatically editing specific pieces of text or moving sections of content between articles.

AI Instructions

Supports making precise changes across multiple knowledge base articles.

Use Cases

Maintaining large knowledge bases

Revising and adding to existing documentation as products evolve.

Building a knowledge base from scratch

Organizing information from support tickets, release notes, and Slack to create a help center.

Supporting AI chatbot accuracy

Updating the knowledge source that powers AI copilots and chatbots with recent information.

Reducing support ticket volume

Filling knowledge gaps so customers may find answers via self-service before submitting a ticket.

Best For

Small businessesMid-market companiesEnterprise companiesCustomer support teamsCustomer experience (CX) managers

Integrations

ZendeskConfluenceNotionSlackHubSpotSalesforceFreshworksReadMeGuruFrontHelpScout

Pricing

A free trial account is available. The company offers a 100% refund of the first month if suggested approvals do not meet expectations. Buyers should confirm current pricing on the vendor website.

FAQ

How does Ariglad create new articles?

It analyzes customer support tickets and identifies when customers are asking about topics that do not currently have articles in the knowledge base.

Which platforms does Ariglad integrate with?

It integrates with tools including Zendesk, Notion, Confluence, Slack, HubSpot, Salesforce, Freshworks, Guru, and HelpScout.

Is there a way to try Ariglad before paying?

Yes, a free trial account is available, and there is a 100% refund offer for the first month if expectations are not met.

Source category: Customer Support

Source subcategory: Knowledge Base

Categories:

Software Type:

How AI is used

Ariglad is an AI knowledge base management tool that updates help articles using support tickets and internal communications. It supports workflows for filling knowledge gaps and improving AI chatbot accuracy through a suggestion and approval process.

Pros & Cons

Pros
  • Automates the discovery of documentation gaps using ticket data
  • Integrates with common support and documentation tools
  • SOC2 and GDPR compliant
  • Includes a mechanism to merge duplicate content
Cons
  • Pricing tiers are not clearly listed in the provided evidence
  • Requires manual approval of AI-generated suggestions to ensure accuracy