top of page


How to Build an AI Operating Model for an AWS‑Native Startup
Build an AWS-native startup AI model by aligning AI to revenue, managing FinOps, security, and compliance, implementing strong governance, and leveraging AWS tools for scalable, secure, efficient delivery.
Alex Boardman
Apr 154 min read


SOC 2 and ISO 27001 for AI startups on AWS: a practical path to audit readiness
This guide offers AI startups on AWS a practical approach to SOC 2 and ISO 27001 readiness by focusing on scoped controls, AWS shared responsibility, security baseline, evidence automation, and AI-specific governance without slowing product delivery.
Alex Boardman
Mar 233 min read


Framing AI and Data Spend for Sales Teams and Investors — A Plain‑English Framework
This framework guides clear communication of AI investments by defining problems, timing, outcomes, costs, risks, and milestones to align sales teams and investors, enhancing credibility and ROI clarity.
Alex Boardman
Mar 14 min read


Framing AI and Data Investments for Sales and Investor Confidence on AWS
Frame AI investments in clear commercial terms—revenue impact, margin prioritization, AI costs, TCO, and proven success—to build trust, boost sales, and attract investors on AWS.
Alex Boardman
Feb 243 min read
bottom of page