Strand Logic
Enterprise AI Adoption
From strategy through to execution
Challenges executive teams face - the four pressures
Identify & Prioritise High Value Use Cases
Identify & Prioritise High Value Use Cases
Identify & Prioritise High Value Use Cases
Evidence ROI Before Major Investment
Identify & Prioritise High Value Use Cases
Identify & Prioritise High Value Use Cases
Scale AI Safely In Regulated Environments
Identify & Prioritise High Value Use Cases
Scale AI Safely In Regulated Environments
Build Organisational Trust & Adoption
Identify & Prioritise High Value Use Cases
Scale AI Safely In Regulated Environments
I advise C-suite on AI Strategy & Adoption
Technology alone doesn't solve these challenges.
I offer four core services to address these:
- AI strategy & use case prioritisation
- Governance & operating model design
- Culture & enablement
- Multi-vendor evaluation & use case piloting
I typically partner with CTOs, COOs, CPOs who need to demonstrate ROI and safety.
Sam de Silva
Founder
About Strand Logic
Focus areas
AI adoption is an operating challenge, not just a technology one. AI adoption fails when strategies can't be executed, governance blocks progress, or organisations lack the operating models to scale safely.
Expertise
My approach combines 20+ years of operational leadership in investment banking (Chief Operating Officer at Goldman Sachs, Managing Director at Credit Suisse and UBS) with technical AI fluency from MIT, Oxford and DeepLearning.AI.
Recent Clients
Recent Clients
Soho House & Co
Advising the executive leadership team on AI strategy and adoption.
THE AI DIGITAL SKILLS GAP IS GROWING: HERE'S WHAT LEADERS NEED TO DO DIFFERENTLY IN 2026
Originally published by Code First Girls · Feb 2026
The rapid adoption of AI is exposing a widening gap between organisational ambition and workforce capability. This article examines why traditional training and change approaches are failing to keep pace and why the digital skills gap has become a material risk to growth, resilience, and competitiveness.
Written for executive and board-level audiences, it sets out what leaders need to do differently in 2026, from redefining AI literacy to rethinking how capability is built across entire organisations.
A BEGINNER’S GUIDE TO AGENTIC AI
Originally published by Code First Girls · Nov 2025
As organisations move beyond Generative AI, many are struggling to understand what comes next and how to prepare. This article introduces agentic AI through a practical, business-focused lens, explaining how AI agents differ from traditional GenAI tools and why they represent a shift in how work is structured and executed.
Rather than focusing on technical architecture, the piece addresses the operating, governance, and workforce implications leaders need to consider before deploying agent-based systems at scale.
LESSONS AND INSIGHTS FROM MY AI UPSKILLING JOURNEY
Originally published by Code First Girls · Sept 2025
This article reflects on what it actually takes for senior leaders to build credible AI capability, not through delegation or theory, but through direct, hands-on upskilling. It explores how learning AI later in a leadership career changes decision-making, risk awareness, and the ability to lead technology-driven transformation.
Written for leaders navigating career transitions, organisational change, and the realities of AI adoption, it challenges the idea that AI literacy can be outsourced and makes the case for executive-level engagement in learning.