B12Y works with organisations in New Zealand and overseas on technical decisions, system delivery, and operational change.
Design and build agents that use tools and work across systems, with clear permissions and human approval points.
A repeated workflow has a clear outcome but spans data, tools, permissions, and human decisions.
Identify where AI fits into your organisation's work, then plan the changes to workflows, responsibilities, and controls.
AI experiments exist, but the organisation needs a coherent operating model and a prioritised path to production.
Independent assessment of deployed or piloted AI against operating cost, review effort, reliability, risk, and available alternatives.
An AI capability is difficult to operate, expensive to review, or no longer clearly connected to a defined outcome.
Evaluation systems that make model, prompt, retrieval, and tool changes measurable before and after they reach production.
A team can demonstrate expected behaviour but cannot yet measure quality, detect regressions, or make reliable release decisions.
Typical sequence
The first stage is to establish what is happening now and what outcome is required. We then set out the work needed to reach it.
Understand the system, the constraint, and the outcome that matters.
Choose the right level of AI, including when less is the better answer.
Build, measure, and leave behind a system your team can operate.
