AI Team
Last updated
Last updated
Mandate
Build AI solutions that “just work,” and do it fast. It starts with knowing precisely what to build and then ensuring we can verify that it actually works by tracking performance and detecting failures proactively.
Next, we focus on speed and continuous improvement through AI-driven development, elegant infrastructure, and automated testing processes.
Finally, we emphasise creating self-optimising systems so clients can help themselves, driving long-term value and scalability.
In short, we aim to move from concept to reliable, high-impact results quickly—without sacrificing quality or user empowerment.
Key responsibilities
Problem Definition & Alignment Collaborate with stakeholders to translate business needs into precise AI objectives—so the team knows exactly what must be built and why.
Rapid Development & Automation Leverage AI-driven methodologies and lean practices to prototype, refine, and deploy quickly—supported by automated testing to maintain quality and reliability.
Performance & Reliability Implement robust metrics, monitoring, and feedback loops to verify solutions work as intended, detect issues early, and optimise system performance.
Self-Optimising Solutions Design AI systems that learn from real-world usage, continuously improving themselves, and equip clients with the tools to adjust and grow without heavy engineering intervention.
OKRs
TBC