News & Insights
Company news and high-level perspective on AI transformation and the shift from tools to systems — written at company altitude, not portfolio deep-dives.
AI leadership is running a business in which AI does part of the work. It covers two jobs at once. One is using AI in the leader's own work, to spend the time on decisions instead of routine. The other is setting the targets and conditions under which the company's teams put AI to work.
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AI augmentation is the use of AI to extend what a person can do in their own work. The AI drafts, checks, calculates or suggests, and the person directs the work, makes the decisions and stays responsible for the result. In AI automation, the AI carries out the work itself.
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A precise definition of the AI agency model — and why clear terminology improves alignment, decisions, and trust.
Read on Medium →When we define AI terms intentionally, we sharpen thinking, collaboration, and strategy across the whole organization.
Read on Medium →A clear path from manual labor to lights-off operations — and an honest read on where most companies actually sit today.
Read on Medium →Blend firm constraints with flexible guides to keep AI safe without making it useless.
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How a disciplined software factory ships a production-ready microservice every single day.
Read on Medium →Start from the outcome and let AI work backward — a cleaner, more reliable way to build with AI.
Read on Medium →AI automates development, lifts quality, and compresses the decision loop past the cadence Agile was built for.
Read on Medium →A practical way to calculate the quality bar AI has to clear before you let it run unsupervised.
Read on Medium →Combining software development and AI automation to cut cost and speed time-to-market.
Read on Medium →A clear framework that takes automation leaders from first idea to autonomous, governed operations.
Read on Medium →A walk-through of how we used the roadmap to automate content creation end to end.
Read on Medium →Which delivery model fits your team — the speed and flexibility of a workshop, or the scale of a factory.
Read on Medium →Vibe coding, reframed: AI programming as a disciplined way to develop software, not a shortcut around it.
Read on Medium →The four principles that actually define a software factory — and separate it from a buzzword.
Read on Medium →Why fuzzy, conflicting definitions of the software factory are holding the whole industry back.
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From craft to factory — the manufacturing eras of software, and how to unlock the stage where it finally scales.
Read on Medium →A simple, repeatable loop to measure and steadily lift the quality of AI-generated content.
Read on Medium →A framework for leaders — from basic task automation to fully autonomous, governed systems.
Read on Medium →Most companies rush adoption without the structured data, processes, and infrastructure to scale it.
Read on Medium →Turning hours of manual analysis into near-instant, trustworthy insight with the right AI pipeline.
Read on Medium →Editorial focus
Company-level and cross-portfolio only. Deep, single-direction material lives on the BPA, SDLC, and Software portfolio sites.
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