AI Platform Lock-In Is a Strategic Risk in 2026

As AI adoption accelerates, a quiet consolidation is happening underneath it. Organizations are being pulled toward single vendors, bundled ecosystems, closed orchestration layers, and proprietary agent frameworks, the ingredients of AI platform lock-in. The vendors making these offers are betting on stickiness. The question is whether that bet aligns with your interests as well as […]

Technical Debt in Private Equity: How Technology Risk Is Repricing Exits

technical debt in private equity

Technical debt in private equity deals used to be a footnote. Picture the diligence process on a software business five years ago: the technical team would review the platform, flag legacy components, note the debt, and factor it into a risk section of the memo. Then the deal team would weigh the revenue, the customer […]

The New Value Creation Mandate: Why Private Equity Is Rebuilding Around Technology

The traditional private equity value creation model was built on a clear sequence: acquire a business with strong fundamentals, improve the margins, expand the multiple, exit. It was disciplined, repeatable, and, for a long time, reliably sufficient. The firms that executed it well didn’t need to reinvent anything. They needed to be better operators than […]

How Gorilla Logic Turned Experiments into a Repeatable AI Delivery System

Most engineering teams treat AI adoption as a speed problem. Gorilla Logic decided to treat it as a sequencing problem, and built an AI delivery system that proves it. That single shift is what makes AI Factory different. Every engineering organization reaches the same inflection point: interest in AI is high, experiments are everywhere, and […]

The Three Layers of AI-Driven Engineering Productivity

Most organizations are one layer deep into AI adoption and wondering why AI engineering productivity gains don’t match the promise. The framework for understanding why is actually simple, and one you’ve heard before: you have to slow down to go faster. The trick is to build on success. Gorilla Logic has spent more than 20 […]

Operationalizing AI in Energy Infrastructure

The Energy and Utilities industry is undergoing an enormous shift in the age of AI and digital transformation. What was once a distinct operating model is rapidly evolving into a complex software engineering challenge, demanding the same advanced cloud, AI, and data architectures, along with the operational rigor that modern engineering organizations use to build […]

AI-Enabled Engineering Starts With Your Delivery System, Not Your Toolstack

Across engineering organizations, a familiar paradox is playing out: developers feel more productive than ever, yet delivery timelines and quality remain largely unchanged. AI tools are in use, velocity appears to be up, and somehow outcomes aren’t improving. The reason is straightforward, even if uncomfortable. If requirements are unclear, architectural decisions are rushed, testing remains […]

AI Isn’t Delivering 50–80% Productivity Gains, and Here’s Why

There’s a conversation happening behind closed doors at a lot of companies right now, and it goes something like this: AI coding assistants are deployed, adoption is high, developers seem genuinely faster — and yet the product is shipping at roughly the same cadence it always has. Boards are asking about AI productivity gains. Private […]

The AI Coding Trap: Why Your Velocity Spike Might Be a Debt Bomb

A recent study out of Carnegie Mellon confirms what disciplined engineering teams already know: AI tools without structure don’t accelerate development — they accelerate chaos. Every engineering leader has heard the pitch. Developers self-reporting 10x productivity gains. Demos showing features shipped in minutes. The promise that agentic AI coding tools will transform your team’s output […]