Content Buddy: AI Knowledge & Workflow Assistant

A domain-specific AI assistant that centralised organisational knowledge into one conversational interface.

LLMs · Prompt Engineering · Knowledge Management

Organisational knowledge was spread across multiple systems, including Confluence, CMS manuals, SEO documentation, testing history, compliance guides, Monday.com and Jira.

There was no single place to search for an answer. Teams had to know where information lived, new starters faced a slower onboarding process, and important knowledge often depended on finding the right person rather than accessing documented guidance.

I designed and built Content Buddy, a conversational AI assistant that brought organisational knowledge together behind one interface.

Instead of asking users to search through multiple platforms and documents, the assistant surfaced contextual guidance through natural-language questions.

It was designed to support the full content workflow, including:

Content optimisation

SEO guidance

Compliance requirements

A/B testing

CMS support

Internal workflows

Onboarding

Documentation search

The goal was to make organisational knowledge easier to access and more useful at the point of need.

How It Works

Knowledge Sources → Ingestion & Indexing → LLM Assistant → Natural Language Query → Instant Answer

Knowledge is brought into a searchable structure so users can ask questions in plain language rather than manually navigating individual documentation systems.

Content optimisation guidance Provides contextual guidance for improving published content.

SEO guidance Surfaces relevant SEO best-practice support when needed.

Compliance guidance Helps users locate the appropriate compliance requirements.

A/B testing & CMS support Provides practical guidance for experimentation and CMS workflows.

Workflow & onboarding support Helps new starters understand processes and find the information they need.

Internal documentation search Makes organisational information accessible through natural-language queries. Business Impact Fragmented Knowledge → Single Source of Truth

Faster search Reduced the time spent searching across documentation.

Better onboarding Improved access to process knowledge and supported more consistent onboarding.

Faster AI adoption Created a practical AI use case that made AI part of everyday team workflows.

The concept was designed to support further development including:

Agentic actions · Continuous knowledge sync · Multi-team rollout · Integrated approvals · Usage dashboard

AI solution design · Knowledge architecture · Prompt engineering · Workflow design · AI adoption & enablement