Before you spend more on AI compute, models, or engineering talent, you need to know exactly where your current architecture is breaking.

I will audit your current data architecture, your AI pipeline, your infrastructure, and your team practices. I identify every bottleneck, data silo, security gap, and architectural decision that is limiting your outcomes.

You receive a written findings report with a severity-ranked issue list, root cause analysis, and a concrete remediation roadmap. In most cases, 80% of the problem is in the data layer — not the model.

Current-state data architecture review

AI pipeline assessment (ingestion, processing, inference, feedback loops)

Infrastructure audit (compute, storage, networking, observability)

Team practices review (MLOps maturity, deployment cadence, monitoring coverage)

Security and compliance gap analysis

Severity-ranked findings report with root cause analysis

Prioritised remediation roadmap with implementation sequencing

Executive summary suitable for CTO or board presentation