Prashant AkhawatBuilding AI-Native Enterprises
Insights
Articles, whitepapers, decks and briefings on AI as enterprise substrate: governance, the inference economy, and the architecture of the AI‑native firm.
35 items
Life Sciences Series · Edition 01
Frontier and open-weight models both break the assumption forty years of Computer System Validation rests on. Edition 01 of the Life Sciences Series names the AI Validation Gap, shows why model choice is not the deciding factor, and sets out Continuous AI Validation under GAMP 5 with ISO 42001, the NIST AI RMF and the EU AI Act integrated beneath it.
Enterprise AI Series · Edition 07
Every job is unbundling into relay work, which moves to the machine layer, and judgment work, which commands a premium. Edition 07 is the talent architecture of that split: the six machine-layer roles with skills and feeders, every classic role rebuilt, the new career ladder, the redesigned first rung, and a 90-day plan for the CHRO.
Governance Series · Article 4
The EU AI Act, NIST AI RMF and ISO/IEC 42001 are not three programs to run in parallel; they are three altitudes of one system. Article 4 of the CXO Intelligence: Governance Series: the convergence playbook, with a capability crosswalk, the ten-layer AI Governance Operating Stack, the revised EU timeline after the 2026 Digital Omnibus, and a companion guidance pack.
Governance Series · Companion Reference
The Companion Reference to Governance Series, Article 4. A 32-row capability crosswalk, a 260-item implementation checklist, the ISO/IEC AI family clause map, a five-level maturity model, the operating-model RACI, a 30/60/90/180-day roadmap, a board dashboard, nine templates, and the AI Governance Navigator.
Also: Guidance (PDF) · Poster (A3 PDF)
Enterprise AI Series · Investigation
Samsung markets up to seven years of software support on premium Galaxy phones. The standard hardware warranty is twelve months. One documented green-line display failure, followed from invoice to final refusal, and what the gap says about hardware accountability.
Enterprise AI Series · Edition 06
The org chart has represented humans for a century, but enterprises now run thousands of AI agents that appear on no chart and answer to no one. Edition 06's blueprint: the machine-layer model, agent HR, the authority ladder, the accountability chain, the new middle management, the agent scorecard, and a 90-day plan.
Enterprise AI Series · Edition 05
Open-weight models are commoditizing good-enough intelligence while the market still prices companies as if they own it. Where AI value goes when intelligence gets cheap: the two-tier intelligence market, the inverted AI stack, the new enterprise scorecard, and five moves to make while the shift is early.
Governance Series · Article 3
A constructive submission on IMDA's Model AI Governance Framework for Agentic AI (v1.5): nine recommendations spanning liability that matches impact, verifiable agent identity, quantitative thresholds for autonomy and transparency, an assurance and attestation pathway, and cross-border interoperability by design.
Also: Submission (PDF)
Governance Series · Article 2
Why one-time Computer System Validation cannot govern a model that learns, and how CSV must evolve into continuous assurance. What the FDA and EMA now expect, and how ALCOA+ data integrity, GAMP 5 and 21 CFR Part 11 hold in the age of agentic AI. Article 2 of the CXO Intelligence: Governance Series.