CTO - Mesh Digital LLC's Insights

CTO

A collection of 6 posts

From Governance to Guardrails: The Board Must Shape Cyber, Not Just Fund Controls

From Governance to Guardrails: The Board Must Shape Cyber, Not Just Fund Controls

Modern cyber tooling should do more than reduce risk. When aligned to a reimagined cyber leadership model, it becomes the control fabric for trust, AI, resilience, and growth, helping regulated firms move faster, scale safer, and compete with more confidence.

Governing the Agentic Enterprise: From "Human-in-the-Loop" to "Strategy-in-Motion"

Governance Featured

Governing the Agentic Enterprise: From "Human-in-the-Loop" to "Strategy-in-Motion"

AI pilots are over. The Agentic Era demands "Strategy-in-Motion™." We propose a 3-Tier Trust Model to govern autonomous digital workers, replacing static policies with real-time "Circuit Breakers." It’s time to move from "Human-in-the-Loop" to "Human-on-the-Loop."

Engineering Alone Won’t Save You. It’s Time for a Commercial Operating Model.

Strategy Featured

Engineering Alone Won’t Save You. It’s Time for a Commercial Operating Model.

Most transformations over-index on activity, not value. Strategy-in-Motion PODs™ link board intent to engineering with one backlog, capital rules, and live telemetry—delivering predictable costs, faster cycle times, and AI that ships to production. If it doesn’t move P&L/risk, it’s tech debt.

More Code, More Chaos: The Hidden Cost of AI in Software Engineering

More Code, More Chaos: The Hidden Cost of AI in Software Engineering

AI is reshaping software engineering, but speed without systems thinking creates chaos. The 2025 DORA Report shows productivity gains masked by instability. The winners won’t just generate more code, they’ll build sustainable value through platforms, developer experience, and culture.

Small Language Models (SLMs), Big Impact: Navigating the Best AI Solutions for Your Business in 2024

Small Language Models (SLMs), Big Impact: Navigating the Best AI Solutions for Your Business in 2024

In 2024, small language models (SLMs) offer efficient, lightweight alternatives to larger models. With faster deployment, lower computational needs, and domain-specific customization, SLMs are ideal for various industries. This article explores open-source SLMs, their strengths, and weaknesses.