Data and Content
Get your knowledge, documents, and data into shape so your AI can give accurate answers. The foundation that determines whether AI helps or misleads.
AI answers are only as good as the content
If your documents are outdated, your knowledge base has gaps, or your data is inconsistent, AI will confidently give wrong answers. We fix the content so the AI works properly.
Content audit
We review your existing content for accuracy, completeness, consistency, and suitability for AI consumption. We find the gaps before the AI does.
Content preparation
We structure, clean, and format your content so AI can retrieve and use it effectively. Good content structure means better AI answers.
Ongoing maintenance
We establish processes for keeping content current. New products, changed policies, and updated processes get reflected in your AI's knowledge.
Content strategy for AI
AI content strategy is different from web content strategy. We focus on clarity, structure, and completeness over marketing polish.
Source identification
We identify all the sources your AI needs: help articles, product data, policies, FAQs, and internal documentation. Nothing is missed.
Quality improvement
We rewrite, restructure, and fill gaps in your content. AI-ready content is clear, unambiguous, and well-structured.
Governance process
We set up processes for content review, approval, and updates. Your AI's knowledge stays accurate as your business changes.
Where data and content work matters
Chatbot knowledge
Preparing product information, FAQs, and support content so your chatbot gives accurate, helpful answers.
RAG systems
Structuring documents for retrieval-augmented generation. Proper chunking, metadata, and formatting dramatically improve RAG quality.
Training data
Preparing and curating datasets for model fine-tuning. Clean, representative training data is the foundation of model quality.
How we prepare your content
Content preparation typically runs alongside AI development. We can also run it as a standalone engagement to prepare for future AI projects.
Audit and assess
We review all content sources, assess quality, identify gaps, and prioritise what needs fixing based on your AI use cases.
Prepare and structure
We clean, restructure, and format content for AI consumption. We fill gaps and resolve inconsistencies.
Establish processes
We set up content governance: ownership, review cycles, update triggers, and quality checks. Your content stays current.
Frequently Asked Questions
Can AI work with our content as it is?
Sometimes, but the quality of AI answers directly reflects the quality of content it has access to. Even small improvements in content quality can significantly improve AI performance.
How much content do we need?
It depends on the use case. A customer support chatbot might need a few hundred articles. A RAG system for internal knowledge might need thousands of documents. We help you prioritise.
Do you write new content or just fix existing content?
Both. We improve existing content and create new content to fill gaps. The goal is a complete, accurate knowledge base for your AI.
How do we keep content updated after you leave?
We establish governance processes and train your team. Content ownership, review cycles, and update triggers keep things current without external help.
Ready to get your content AI-ready?
Good content is the foundation of good AI. Get in touch and we will assess what your content needs.