AI strategy & consulting
Opportunity mapping, feasibility, and a costed roadmap. Including the honest 'don't build this' calls.
Artificial Intelligence
We build artificial intelligence into the systems your teams already use, then measure what it returns.
What this practice delivers
- Support, operations, and back office costs reduced by automating the work that doesn't need a human
- Faster decisions from systems that read, classify, and summarize your documents and data
- New product capabilities. Copilots, search, recommendations. Your competitors can't match
Most AI projects stall between the pilot and production. The demo impresses, then nobody can say what it saved. We start from a process with a number attached to it. Time lost, cost carried or revenue missed. We build against that number, keep a person in the loop wherever judgement matters, and instrument the result so the value is visible in your own reporting.
What we do
Artificial Intelligence, end to end
Generative AI & LLMs
Custom applications on OpenAI, Claude, and Gemini. Prompt engineering, fine tuning, and evaluation done properly.
AI agents & copilots
Autonomous and multi agent systems that execute workflows end to end, with human in the loop controls.
RAG & semantic search
Retrieval augmented systems over your knowledge base, built on Pinecone, Qdrant, Weaviate, or ChromaDB.
Machine learning & computer vision
Predictive analytics, recommendation systems, NLP, and vision models trained on your data.
Document intelligence & automation
OCR, invoice processing, resume parsing, and RPA that turn paperwork into structured data.
Integration & MLOps
AI wired into your existing systems, deployed on Azure, AWS, or Google Cloud, with monitoring and retraining pipelines.
Responsible AI & managed services
Governance, security review, performance monitoring, and ongoing optimization after launch.
Tools & platforms
What we build this with
- OpenAI
- Claude
- Gemini
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- Hugging Face
- PyTorch
- MLflow
- Pinecone
- Qdrant
Proof
From the case files
Financial ServicesArtificial Intelligence
AI support copilot for a payments platform
A RAG powered copilot now resolves two thirds of tickets without escalation.
-42% support cost per ticket
FAQ
Fair questions, straight answers
We're not sure where AI fits in our business. Can you help us figure that out?
That's exactly what our AI consulting engagement is for. We map your processes, estimate the cost and payback of each candidate use case, and give you a ranked roadmap. If nothing clears the bar, we tell you that too.
Will our data be used to train public models?
No. We architect around your data boundary. Private endpoints, your cloud tenancy where required, and written agreements that your data is never used for training without explicit consent.
How long does a first AI project take?
A scoped pilot typically ships in 4 to 8 weeks: one process, one measurable target, production grade from day one so a successful pilot can scale instead of being rebuilt.
Start the conversation
Let's talk about artificial intelligence
A 30 minute conversation with a senior engineer, not a salesperson. You will leave with an honest read on feasibility, cost and payback.