AI that earns its keep in your business.
No hype, no science projects. We pick the few use cases where AI actually saves you money or time, and we build those properly.
Our take on AI
We don't do AI for its own sake. Every project has to pass the same question: will this measurably save time, cut costs, or improve outcomes? If the answer is no, we'll say so and save you the budget.
Use cases where AI actually pays back
Document processing
Pulling data out of invoices, contracts, and forms automatically, so a person isn't doing it row by row.
Payback: roughly 80% less manual data entry
Customer support automation
Chatbots that understand context, hand off when they should, and stop sending people in circles.
Payback: about 60% of tier-1 tickets resolved without a human
Content generation
Product descriptions, email drafts, report summaries. Drafted by AI, polished by a human in a fraction of the time.
Payback: 5× faster from blank page to publish
Predictive analytics
Forecasting demand, flagging anomalies, surfacing the pattern hiding in the data you already collect.
Payback: better inventory planning, less waste, fewer fire drills
Practical AI Applications
- 01Document processing and data extraction
- 02Customer support chatbots with LLMs
- 03Predictive analytics and forecasting
- 04Content generation and summarization
- 05Workflow automation with AI decision-making
- 06Custom AI model development
AI Technologies
- 01OpenAI GPT-4, Claude, Gemini
- 02LangChain, LlamaIndex
- 03TensorFlow, PyTorch
- 04Hugging Face models
- 05Vector databases (Pinecone, Weaviate)
- 06Fine-tuning and RAG systems
What You Get
- 01ROI-focused implementation
- 02Custom AI workflows
- 03API integrations
- 04Usage monitoring dashboard
- 05Cost optimization strategies
- 06Training and documentation
How we work
A transparent, collaborative process. Built like an editorial calendar, not a Gantt chart.
Use case discovery
We find the corners of your work where AI actually saves money or time, and we’re honest about the corners where it doesn’t.
Proof of concept
A small, fast prototype that proves the idea works in your data before anyone signs a six-figure cheque.
Implementation
Built for the real world. Proper error handling, sensible fallbacks for when the model fails, and a clear budget for every API call.
Optimisation
We watch usage, cut costs where we can, and iterate based on what your team actually does with it.
Engagement models
We run several tracks depending on your stage and eligibility. Government programmes and impact funding cover part of qualifying AI engagements.
Phase the work. Start with a proof of concept that pressure-tests ROI, then scale to the full build. Structured around your budget and your timeline, not ours.
One footnote. AI API costs (OpenAI, Anthropic, and the rest) are billed at usage and stay separate from project fees.
Book a free consultation. We'll tell you within a week if a programme fits.