Token Economics Trap: Why Your AI Bill Will Quadruple
AI getting cheaper doesn't mean lower bills. Jevon's Paradox explains why token cost reductions lead to exponential AI spending growth.
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AI Leaders Deliver 3.6x Shareholder Returns — Here's How
Companies with mature AI strategies deliver 3.6x the shareholder returns of their peers. McKinsey's research reveals the specific practices that separate leaders from laggards.
84% Increase AI Spend. Only 25% See Impact.
Companies are spending more on AI than ever, yet 95% cannot prove it works. The gap between investment and return isn't tech—it's economics.
Physical AI: APAC Factories Writing the Competitive Playbook
405M robots today, 1.3B by 2035. BYD's Xi'an factory runs at 97% automation. Physical AI isn't coming—it's here. Learn from APAC's playbook.
Sovereign AI: The $600B Race Nobody Talks About
$600B will be spent on AI that never crosses borders. 72% of enterprises plan sovereign AI, only 29% are ready. Here's what you need to know.
When AI Agents Attack — The 7,851% Traffic Surge
AI agent traffic surged 7,851% in 12 months. Most companies can't distinguish agent traffic from human traffic. Here's how to prepare your infrastructure.
AI Governance Maturity: 2.3/5 and Getting Worse
Companies with AI governance are 2x more likely to deploy agentic AI. Without it, they're 2x more likely to get breached. Here's the data and maturity model.
86% Think They Control Their AI. 59% Have Shadow AI.
Most companies believe they have AI under control. The data says otherwise — 59% have shadow AI usage they can't see. Here's how to close the governance gap.
AI-First CTO: What CEOs Should Actually Look For
50% of CEOs bet their jobs on AI success, but only 5% get value. Learn why you need a CTRO, not a traditional CTO, for AI transformation.
AI Outpaces Training — The 78% Problem Nobody Is Solving
86% of companies increase AI spend, only 43% invest in training. Why the 2:1 technology-over-humans bet fails and how to fix it.
Talent Reinventors: How 18% of Companies Win with AI
Most companies train employees on AI tools. Only 18% reinvent work itself — and they deliver 2.3x shareholder returns. Learn what separates them.
B2B SaaS Reset: 94% of Buyers Will Switch for AI Agents
94% of B2B customers will switch to competitors with better agentic AI by 2029. Learn how the $780B market shift affects your SaaS pricing model.
88% of AI Agents Fail in Production — Why 12% Succeed
Only 12% of AI agents reach production, but they deliver 171% ROI. Learn the 4-stage maturity path that separates success from the 88% failure rate.
The $9B Agentic AI Market Growing to $200B by 2034
The agentic AI market is projected to explode from $9B to $200B by 2034. Here's what's driving the growth and where the opportunities lie for UK scale-ups.
How CIOs Close the Gap Between AI Investment and ROI
48% of AI leaders measure revenue impact vs 27% of others. Learn the token-level P&L framework that turns £186M AI budgets into measurable business value.
4 Jobs Every CIO Must Master in the Agentic AI Era
Only 9% of organisations achieve AI orchestration. Learn the 4 critical CIO jobs that separate AI leaders from IT operators in 2026.
IT Leader to AI Orchestrator: Why 88% of CIOs Are Stuck
Only 12% of organizations have scaled AI agents. Learn why CIOs must evolve from IT service providers to AI orchestrators or risk irrelevance.
Cloud Maturity Stages: From Stabilizer to Innovator
Only 8% of companies reach Innovator cloud maturity. Discover the 3 stages and why you can't skip steps on your digital transformation journey.
AI Readiness Audit: 5 Dimensions for Success
Discover why 92% of companies lack AI-ready infrastructure. Use our 5-dimension audit to assess your readiness and avoid costly pilot failures.
92% of Enterprises Lack AI-Ready Infrastructure
Why 86% of C-suite leaders increase AI investment but only 8% have infrastructure to scale. The hidden gap between AI ambition and capability.
Amdahl's Law for AI Engineering: Why Faster Coding Doesn't Mean Faster Delivery
When AI speeds up code generation 4× but review, security, and deployment stay the same, you get a backlog amplifier — not faster delivery. Here's how to identify and solve the real bottlenecks in AI-assisted engineering.
by Edward Kreiman
Agent Architecture for Production AI: A Practitioner's Guide to the 15-Component Harness
A practitioner's guide to designing production-grade AI agent architectures. Covers the 15-component harness pattern, security boundaries, failure mode engineering, cost governance, and the organisational discipline required to run agents reliably at scale.
by Edward Kreiman
Spec-Driven Engineering: The Missing Discipline for AI-Assisted Development
A practical guide to writing specifications that produce reliable, production-quality code from AI coding tools. Move beyond vibe coding with structured specs that capture intent, constraints, and acceptance criteria — the discipline that separates AI-assisted prototypes from AI-assisted production systems.
by Edward Kreiman
AI SDLC Maturity Framework: Where Does Your Organisation Stand?
A practical framework for assessing AI software development lifecycle maturity across four stages — from ad-hoc experimentation to optimised continuous improvement. Based on Stanford HAI research and Defra best practices, adapted for UK scale-ups navigating AI integration.
by Edward Kreiman
Tech Due Diligence Checklist: 50 Questions Every PE Buyer Should Ask
50-question tech due diligence checklist for PE acquirers — covering architecture, security, technical debt, key-person dependency, and integration risk. Yes/No format designed for IC presentations.
by Edward Kreiman
Post-Merger Technology Integration: A 100-Day Playbook for PE-Backed Acquirers
Most M&A deals lose value in the 100 days after close. Here's the technology integration playbook PE-backed acquirers use to protect deal value, retain key engineers, and avoid system chaos.
by Edward Kreiman
Cloud Cost Optimisation: A 90-Day Guide to 30–50% Savings
Cloud costs spiralling faster than revenue? Here is the 90-day programme TechLevity uses to achieve 30–50% cost reduction for UK PE-backed scale-ups — without touching performance.
by Edward Kreiman
Shadow AI Governance: A Playbook for UK Scale-Ups
Employees are already using ChatGPT, Copilot, and Gemini in your business — whether you know about it or not. Here is how to govern shadow AI without killing productivity.
by Edward Kreiman
EU AI Act Compliance for UK Scale-Ups: A Practical Guide
The EU AI Act applies to UK businesses selling into Europe — even post-Brexit. Here's how to classify your AI systems, understand your obligations, and build a 90-day compliance roadmap without drowning in legal overhead.
by Edward Kreiman
Why AI Projects Fail (And What to Do Instead)
Most AI projects fail before they reach production. Here are the three failure modes we see most often at UK PE-backed scale-ups — and what the successful ones do differently.
by Edward Kreiman
What Is a Fractional CTO? A Complete Guide for UK Founders & PE-Backed Scale-Ups
What is a fractional CTO? A part-time, board-level engineering leader who provides CTO-level expertise 1–2 days per week. This guide covers costs, responsibilities, and how to decide if it is right for your scale-up.
by Edward Kreiman
The £200K AI Pilot That Never Shipped (And How to Make Sure Yours Does)
The Production-First AI Framework is a four-step decision gate created by Edward Kreiman of TechLevity for ensuring AI pilots reach production deployment. Most AI pilots fail not because the technology is wrong, but because the wrong decisions were made before week one.