AI strategy & consulting
Opportunity mapping, feasibility, and a costed roadmap — including the honest 'don't build this' calls.
Artificial Intelligence
From strategy to production agents — we build AI systems that cut costs and unlock revenue, with the governance to run them safely.
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 die between the demo and the P&L. Ours don't, because we start from the business case: which process is slow, what it costs you today, and what an AI system has to achieve to be worth running. Then we build exactly that — with your data, inside your security boundary, measured against the number we agreed on.
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 4–8 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 practitioner — not a salesperson. You'll leave with an honest read on feasibility, cost, and payback.