Automatically find and draft missing knowledge base articles

Each day, AI scans your support tickets and knowledge base, then emails a health report with drafted articles for any gaps.

How the work actually flows

It branches. Every path runs; runs once per each content gap identified.

Pattern: Parallel Split (2) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(["daily schedule"]):::trigtime s0["pull tickets and kb articles"]:::task s1["ai finds coverage gaps"]:::task s2[["ai drafts article per gap"]]:::mi s3["second ai reviews each draft"]:::task s4["compile health report"]:::task trig --> s0 s0 --> s1 s1 -->|"one per each content gap identified"| s2 s2 --> s3 s3 --> s4 gx{"+ where to send report"}:::gate s4 --> gx p00["send report to slack"]:::task gx -->|"slack channel"| p00 p10["send report to gmail"]:::task gx -->|"email inbox"| p10 p00 --> out p10 --> out out[/"daily knowledge base health report"/]:::out pay{{"gaps found and drafted without manual audits"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGEmail Automation
Connects
OpenAIGmailSlack

The problem it solves

Your team keeps answering the same support questions because nobody has time to check whether the knowledge base actually covers them. Outdated articles sit untouched while new problems pile up in your ticket queue. You want to know where the gaps are without manually comparing tickets to documentation.

Who it fits

Support and knowledge management teams who want their help center to keep up with real customer questions.

How it works

  1. Every day, the system pulls your recent support tickets and current knowledge base articles
  2. AI compares them to find topics with missing, weak, or outdated coverage
  3. For each gap, AI writes a full draft article using real ticket data
  4. A second AI reviews each draft for accuracy and clarity
  5. A health report with scores and next steps is sent to Slack and Gmail
What you get

Knowledge base drafts ready for your review

You get a daily health report on your knowledge base along with fully drafted articles for any gaps, ready for your team to review.

What you get

A daily health report with a knowledge base score, list of content gaps, and ready-to-review article drafts.

What you need

An OpenAI account, a Gmail account, and access to your helpdesk's API; Slack is optional.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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