We design, build and operate AI agent systems for organisations where speed, accuracy and reliability are not optional. Not pilots. Not proofs of concept. Working systems in production.
A 7-day rolling view of how a deployed agent system is performing in production. Names, volumes and model snapshots are redacted; the eval categories, the score shape, and the regression callout are real.
Tool-call accuracy slipped on ▮▮▮ after the upstream API changed its response shape. Caught by the eval pipeline on run 28; patched the schema validator and added a regression test. Score returning to baseline.
Tell Element about the process you're trying to automate. We'll surface the closest agent reference, sketch the system, and route you to Antonis for the technical conversation.
Describe the process, the bottleneck, or the decision you're trying to automate. Element will ask the right questions and sketch what an agent system might look like for your context.
Every engagement starts with the operation, not the technology. We map the process before we discuss the model.
We map the current workflow end-to-end — inputs, decisions, handoffs, exceptions. Where is time lost? Where does human judgement matter and where is it just habit?
Agent structure, model selection, tool integrations, retrieval strategy. Designed for your data, your compliance requirements, your existing infrastructure.
We build in production-ready frameworks with evaluation baked in from day one. No black boxes — every agent decision is explainable and monitored.
Deployment is not the end. We run ongoing evaluation, catch performance drift, and evolve the system as your operation changes.