Only 3% of Companies Have Truly Transformed with AI
Google surveyed 2,643 leaders and workers across 6 countries. Only 3% are truly transformed. 72% are still in early stages. The 5 traits that separate them.
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Honest takes on staffing models, costs, technology, and what actually works. Written by Dennis Vorobyov, CEO.
Google surveyed 2,643 leaders and workers across 6 countries. Only 3% are truly transformed. 72% are still in early stages. The 5 traits that separate them.
The app everyone demos is the commodity. The ledger, reconciliation, and money-movement core is what actually decides fintech software.
51% of digital leaders report an AI skills shortage — the steepest rise in 26 years. What the data means for hiring and team building.
Most generative AI solutions fail because buyers purchased a demo instead of an engineered system. What the working 5% do differently.
Custom software costs $50-250/hr depending on location and seniority. A typical product costs $150K-500K/year. Here are real numbers from real projects.
The advisory-only fractional CTO is expensive theater. The only kind worth paying for comes welded to people who ship. Here's how startups buy the wrong one.
The 'scale up, scale down, swap bodies' pitch is the defect in team augmentation, not the feature. The number that predicts success is turnover.
Custom enterprise software services are sold on size, stack, and methodology. The one variable that predicts the outcome is team continuity. Here's why.
Most mobile app development services sell you a launch and disappear. The build is the cheap part. Continuity, not the deliverable, is what's worth paying for.
Most custom business software shouldn't exist. Build only your differentiator, buy the commodity, and treat scope, not code, as the thing that kills projects.
IT staff augmentation is sold as flexible skill on demand. What it actually meters is ramp time and turnover. The fix isn't more augmentation.
The search for the "best Android app development company" is a category error. Retention, native judgment, and code review predict a good app, not rankings.
The tidy phased SaaS development process is a fiction. Scope discipline and team continuity are what actually ship product.
An MVP project is a small production system, not a disposable prototype. "Ship cheap and throw it away" quietly costs more than it saves.
McKinsey: tech debt represents 20-40% of an organization's technology estate. CAST: 61 billion days of global repair time. The numbers and the fix.
The weekend SaaS MVP is a trap: "minimum" ate "viable," and the throwaway you validate with becomes the codebase you can't kill.
After 11 years on the vendor side, here's what separates good partnerships from bad ones. A framework for evaluating dev shops.
A hard-truth take on outsource development: the cheap-rate arbitrage pitch is the part that fails, and continuity — not hourly rate — decides whether it works.
DevOps consulting that hands you a pipeline and leaves rebuilds the silo the movement killed. The only engagement worth buying makes itself unnecessary.
Most "custom web development services" sell you a launch when the real cost and risk live in the years after — here's what to actually judge a vendor on.
Ranking countries to outsource software development is a category error. The real predictor of outcome is seniority and retention, not the flag.
Most CMS development services profit from the confusion between content and application. Here's what buying them well actually looks like.
An opinion piece arguing that the "hire dedicated iOS developers" pitch sells the wrong unit of work — and what to buy instead.
An MVP in software is a scope decision, not a quality level — and confusing the two is why most "minimum viable products" are neither viable nor a product.