Technical advice, experience feedback and best practices
A practical framework to reduce OpenAI, Anthropic, or Mistral spend in startups through usage audits, prompt trimming, routing, caching, and ROI-based governance.
A playbook for scale-ups to align data policy, AI risk decisions, and delivery before they grow from MVP to global product.
A practical framework for startup and SME leaders to audit AI systems in production: governance, GDPR, reliability, security, and unit economics.
How to modernize a legacy system without disrupting operations: architecture audit, phased migration strategy, risk governance, and a practical 120-day execution model.
A practical framework to get SOC 2 audit-ready without killing product velocity: scope, controls, evidence, and governance led by a fractional CTO.
A practical 90-day framework to recover startup delivery: diagnose bottlenecks, align product and engineering, reduce incidents, and restore predictable execution.