Practical AI for a mid-sized company means automating the repetitive middle of two or three high-volume workflows, with people approving what matters, not launching a transformation programme.
Put a thin, tested façade in front of the legacy system, decouple model calls with queues, retrieve rather than retrain, and keep people on the consequential writes.
Consumer and enterprise software, built with taste and shipped fast.
AI agents, automation, and orchestration - production systems, not demos.
Hands-on engineering and strategy for teams shipping AI into production.