AI features & automation
Practical AI inside your software: assistants that answer from your own documents, data extraction, smart search and automated workflows.
Teams that spend hours answering the same questions, retyping documents or sorting enquiries, and businesses that want AI features in their product.
What you get
- Chat assistants that answer from your own documents, courses or product data
- Extracting data from PDFs, invoices, forms and emails into your system
- AI search, summaries and recommendations inside your web or mobile app
- Drafting content, replies and descriptions with human review
- Automating repetitive workflows between your tools
- Privacy-aware setups: only the data needed, with clear logs
OpenAI, Anthropic Claude, Google Gemini APIs, Python, PHP, vector search
AI where it saves real time
We add AI to business software for specific, measurable jobs: answering common questions from your own material, pulling data out of documents, summarising long records, or routing enquiries to the right person. We connect to leading AI models through their APIs and build the screens, checks and logs around them.
How we approach it
- Pick one job: we start with a task your team repeats every day, and agree how we will judge whether AI does it well.
- Small pilot: a working prototype on your real data, tested by your team.
- Human in the loop: AI drafts and suggests; people approve anything that matters.
- Roll out: integrated into your existing system, with costs and usage you can see.
Questions
Is our data safe?
We send only the data a task needs, use providers whose business terms do not train models on your data, and can keep sensitive records out of AI processing entirely.
Can AI be added to our existing system?
Usually, yes. Most of our AI work adds a feature to a system that already exists, rather than starting again.