Generative AI and LLM integration
Put AI to work inside your business. We build AI-powered tools that answer questions from your documents, generate content from your data and give your team instant access to the knowledge buried across your organisation. We work with ChatGPT, Claude, Gemini and other leading tools, matched to your requirements.
Prefer to talk now? Call us directly on 1300 160 336
Our generative AI and LLM services
Give your team AI-powered answers, content and analysis without leaving the applications they already use. We connect tools like ChatGPT, Claude and Gemini to your business data and build solutions that work inside your existing systems.
Internal Knowledge Assistants
Build AI tools that answer staff questions from your policies, procedures and technical documents. Source citations included so your team can verify every response.
Custom AI Integration
Embed language models directly into your existing business applications, portals and workflows. We work across Azure OpenAI, AWS Bedrock, direct API and open-source models, matched to your security, cost and performance requirements.
Automated Content Generation
Generate reports, summaries, emails and client communications from your business data. Consistent tone and accurate content at a fraction of the time.
Document Search and Q&A
Turn document libraries into searchable knowledge bases your team can query in plain English. No more digging through folders or asking colleagues.
AI-Powered Data Analysis
Use language models to analyse, summarise and explain complex datasets. Get plain English insights from data that previously required a specialist.
Model Selection and Architecture
Choose the right AI model and platform for your use case, budget and security requirements. We design solutions that scale without locking you into a single vendor.
Ready to put AI to work in your business? Book a free initial conversation →
AI your team actually uses. Not AI that gathers dust.
Plenty of AI tools get built and then quietly ignored. The difference comes down to whether your team trusts the tool and whether someone helps them fit it into their day. We build that in from the start. You work directly with the people doing the build the whole way, so a real person stays responsible for it being used, not just handed over.
- Built to make your team's job easier, not give them another system to wrestle
- One team from first call to finished work, no middlemen
- We stay until your staff are genuinely using it
What we build with generative AI
Generative AI is most useful when it is pointed at a specific job and grounded in your own information. These are the patterns we build most.
Knowledge assistants
Chat assistants that answer staff or customer questions from your own documents, with sources they can check.
Document search
Ask a question in plain language and get the right passage from across thousands of files.
Drafting and summarising
First drafts of emails, reports and replies, with short summaries of long documents and threads.
Classification and extraction
Sorting incoming text and pulling out the fields that matter so the right work starts automatically.
Process copilots
Assistants built into a workflow that guide a person through a task step by step.
See how we solve problems like this across our recent work →
Ready to start? Book a free initial conversation →
Generative AI in action. Meet Jacky
Jacky is a live generative AI assistant running on this site right now. Built on the Claude API and connected to our service knowledge base, it answers questions about our services in plain English and helps visitors work out what they need. It's the same architecture we build for clients. Ask it anything and see how a knowledge assistant actually feels to use.
Frequently asked questions
What's the difference between generative AI and traditional automation?
Traditional automation follows rules you define. Generative AI understands context, interprets language and generates new content. We use traditional automation for repetitive structured tasks and generative AI when the work involves language, documents or unstructured data.
Which AI models do you work with?
We work across Azure OpenAI (GPT), Anthropic Claude, Google Gemini, AWS Bedrock and open-source models. We recommend the right model based on your security requirements, budget and use case. You're never locked into a single vendor.
Is our data safe when using AI models?
Yes. We design every solution so your data stays in your environment. Enterprise deployments use Azure OpenAI or private endpoints where your data is never used to train the model. We document the data flow so your IT and compliance teams can verify it.
Do we need a large dataset to get started?
No. What matters more than volume is having content that is current, accurate and well organised. We help assess and prepare your existing documents as part of the build.
How long does a typical AI integration project take?
It depends on complexity. A focused use case with a single content source moves quickly. Custom integrations across multiple systems and document libraries take longer, particularly when content needs cleaning or restructuring first. We scope each engagement upfront so you have a clear timeline before we commit. After go-live, we monitor performance and tune accuracy as your documents change.
How much does a generative AI project cost?
Every project is different. We price based on the number of data sources, the complexity of the integration and whether you need ongoing support. Most projects are quoted as a fixed price. We walk through everything in a free initial consultation so you know what you're paying before we start.
Your team has the answers buried in documents they can't search. Let's fix that.
Whether you want to turn your document library into a searchable knowledge base, automate report writing or embed AI into your existing tools, start with a free initial consultation. We'll talk through what's possible, which model fits and what it costs. No commitment, no jargon, just a straight conversation.
