What We Think
Technology moves fast. Hype moves faster. We help businesses think clearly about which technologies matter, why they matter, and how to make them deliver real results. Here's what we believe.
Too many organizations start with "we need AI" without asking "what problem are we solving?" The companies that succeed aren't the ones with the biggest budgets — they're the ones with the clearest objectives. Every technology decision should trace back to a measurable business outcome.
897 apps per company, only 29% integrated. 90% of enterprise data unused. Companies with strong integration achieve 10.3x ROI from AI versus 3.7x without it. The gap between AI ambition and AI results almost always traces back to the data foundation.
Organizations that automate broken processes with AI get broken processes that run faster. The companies seeing 307% ROI aren't adding AI to existing workflows — they're fundamentally redesigning how work gets done, then applying technology to the new design.
Global cybercrime damages exceed $10.5 trillion annually. 87% of organizations experienced an AI-powered cyberattack. Security is no longer an IT cost center — it's a board-level strategic issue that determines whether the business survives a Tuesday.
A chemical company that integrated carbon analysis into its value stream maps saved 15% in operating costs. The best sustainability initiatives don't cost more — they reduce waste, improve efficiency, and lower costs simultaneously. ESG and P&L are not in conflict.
70% of digital transformations fail because organizations underestimate the human side. The technology works. The architecture is sound. But people resist what they don't understand. Organizations investing 70% of resources in people and processes achieve 1.5x higher revenue growth.
92% of U.S. brands have adopted composable commerce. 60% plan to make composability a strategic objective. The monolith is dying. The companies building for flexibility — modular systems, API-first architectures, swappable components — will adapt faster than those building for permanence.
Life science, utilities, energy, chemicals, manufacturing — deep domain knowledge plus modern technology creates dramatically more value than either alone. A consultant who understands your regulatory environment, your competitive dynamics, and your operational reality will outperform a generalist every time.
Only 11% have agents in production. By year-end 2026, 40% of enterprise apps will integrate task-specific agents. The shift from copilots to autonomous agents is the biggest change in enterprise AI since the chatbot.
EU AI Act in effect. 95% of GenAI initiatives struggle with sustained ROI. Governance — bias testing, explainability, compliance, model monitoring — separates leaders from laggards and determines regulatory survival.
50–72% of IT budgets go to maintenance. Cloud migration and AI automation are finally freeing budget for strategic investment. The organizations that shift spend from "keeping the lights on" to "building the future" will compound their advantage.
Grid investment: $470–483B. Data center demand heading to 80+ GW. Nuclear up 50%. This is a generational infrastructure build-out — and the companies that position now will ride the wave for decades.
IBM says 2026 is the year quantum outperforms classical for specific problems. Only 3% have post-quantum cryptography in place. It's not here yet, but the preparation window is closing.
Digital twins, IoT, AI, composable architectures — all connecting design, production, and supply chain into a single digital thread. Top factories: 53% productivity gains, 26% lower conversion costs. The gap is widening.
We'd rather have a conversation than send you a brochure. Let's talk about what matters to your organization.