No hype. Systems that ship.
LLM-powered assistants, document intelligence and RAG knowledge systems, engineered with the error handling, cost controls and monitoring that separate a demo from production.
Six things, all in production somewhere.
Grounded answers, measured quality and a cost per request you can forecast, the parts most AI pilots skip.
AI assistants & chatbots
Conversational interfaces that hold context across turns and integrate with your systems: support, internal knowledge, domain copilots.
RAG & knowledge systems
LLMs connected to your proprietary data through vector search over documents, databases and wikis. Grounded answers instead of hallucinations.
Document intelligence
Extract, summarise and analyse contracts, reports and unstructured documents at scale, automating manual review workflows.
AI agents & workflow automation
Autonomous agents that reason, plan and execute multi-step tasks: research, report generation, API orchestration, decision support.
Prompt engineering & evaluation
Systematic prompt design with evaluation frameworks and guardrails, so behaviour is reliable rather than anecdotally good.
Integration & deployment
Production pipelines with error handling, caching, cost management and monitoring, wired into your existing applications.
Five layers, and most projects fail at the bottom two.
Retrieval quality and data access decide whether the top of the stack is useful. Model choice is rarely the constraint.
Prove it small, then engineer it.
The order matters: an evaluation set before a prototype means you can tell whether iteration is helping.
Frame
Pick a workflow with a measurable outcome, and write down what good looks like.
Evaluate
Build the evaluation set first, so quality is a number rather than a feeling.
Build
Working system against real data, with guardrails and cost ceilings from the start.
Operate
Monitoring on quality and spend, and a retraining or re-prompting cadence.
Where it has paid off.
Patterns we have shipped. Each one started as a single workflow with a number attached to it.
Ready to explore AI for your business?
Bring one workflow that costs your team hours a week. We will tell you honestly whether AI is the right tool for it.