Case study · Knowledge
Content Buddy: AI Knowledge & Workflow Assistant
One AI assistant that answers questions from knowledge spread across seven systems, so content managers find answers and onboard new starters faster.
- Business area
- Knowledge management
- Users
- Content managers
- Technology
- LLMs, prompt engineering
- Outcome
- Faster onboarding and support
The problem
What was getting in the way.
Knowledge was spread across Confluence, CMS manuals, SEO documentation, testing history, compliance guides, Monday.com and Jira, making information difficult to find and onboarding slow.
Why it was hard
Fragmented sources
Confluence, CMS manuals, SEO docs, testing history, compliance guides, Monday.com and Jira.
Hard to find
There was no single place to search for an answer.
Slow onboarding
New starters had to learn where everything lived.
Tribal knowledge
Answers depended on who you could find, not on documentation.
The solution
What was built.
Designed and built Content Buddy to provide contextual guidance on content optimisation, SEO, compliance, A/B testing, CMS support, workflows, onboarding and internal documentation. The assistant surfaced company knowledge instantly through natural language.
Design decisions
- Centralise every knowledge source behind one conversational interface.
- Answer in natural language, not links to documents.
- Cover the full content lifecycle: optimisation, SEO, compliance, testing and workflow.
How it works
From input to outcome.
01
Knowledge sources
02
Ingestion and indexing
03
LLM assistant
04
Natural language query
05
Instant answer
Every source is indexed once, then queried instantly in plain language.
What it does
The capabilities.
Content optimisation guidance
Contextual advice on improving published content.
SEO guidance
Best-practice SEO support on demand.
Compliance guidance
Surfaces the relevant compliance requirements.
A/B testing and CMS support
Practical help with testing and CMS workflows.
Workflow and onboarding support
Guides new starters through processes.
Internal documentation search
Finds the right document instantly.
The result
What changed.
Faster search
Reduced time searching documentation.
Better onboarding
Improved onboarding and consistency.
Faster AI adoption
Accelerated AI adoption across teams.
What could this become?
- Agentic actions
- Continuous knowledge sync
- Integrated approvals
- Multi-team rollout
- A usage dashboard
Facing something like this?
Describe the process in a short note. Every system here started with exactly that.