- How do you use AI in these systems?
- Deterministic business logic first, AI where judgment genuinely helps. Numbers, rules, and thresholds stay auditable and reproducible; AI is used to interpret, prioritize, summarize, and guide action on top of them. Every AI surface is grounded in the company's own data and keeps a human in the loop where the decision matters.
- What is AI governance and why does it matter?
- Governance is the layer that decides what an AI system is allowed to see and say: policy evaluation, guardrails, retrieval scoping, PII scanning, grounding verification, audit logging, and rate and cost controls. Without it, an assistant is a liability; with it, it is an operating tool. BrainMate is the platform where Alex built this layer.
- Do you build software yourself or manage developers?
- He designs and leads the build, and builds directly with low-code platforms, databases, dashboards, and AI workflows. For deeper engineering he coordinates trusted specialists while owning the architecture, requirements, and delivery.
- What if our data is a mess?
- That is the normal starting point. Ingestion and normalization are the first two stages of almost every system he has built — MISH begins by turning inconsistent sales, cost, and margin data into a shape that can be reasoned about before anything is detected or interpreted.
- How do you measure success?
- In operating terms: fewer manual steps, faster decisions, recovered margin, better on-time delivery, cleaner reporting. Each case study is framed around a measured outcome rather than a feature list.