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AI can create new revenue when it changes what you can sell
AI can make an overlooked customer need economical to serve. The opportunity becomes a business when buyers use the result and the full delivery cost leaves a workable margin.
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Build or buy AI: which differences are worth owning?
Custom development is justified when it buys a business capability worth maintaining. Compare the complete operating commitment, including the option to buy the common parts and build only what matters.
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AI Act transparency: who owns what your AI says?
Disclosure is one part of AI transparency. The operating challenge is knowing which systems speak for the business, which obligations apply, and who can demonstrate that the right controls were in place.
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AI coding makes engineering discipline more valuable
A coding agent can produce changes faster than a team can verify them. The business benefit depends on permissions, independent checks, accountable review and the ability to recover when a change fails.
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Before you hire an AI adviser, ask these seven questions
A polished proposal tells you little about delivery capability. Test the adviser’s judgment, evidence, incentives and handover plan before giving them responsibility for an expensive decision.
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AI adoption is easy to count. Operating advantage is harder to prove.
Seats, prompts and pilots show activity. Competitive advantage appears in cost per completed case, cycle time, quality and capacity—and only after the workflow changes.
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Lean and AI: fix the process before you accelerate it
AI can shorten a task while leaving the customer waiting. Lean helps identify which work should change; AI earns its place where it improves the performance of the whole process.
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Three levels of AI authority: what runs alone, what needs approval, what stays human
An AI policy becomes useful when it defines who may act, on what evidence, and with whose approval. Three levels of authority turn that question into a decision your business can enforce.
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The Pilot-to-Production Gap Was Protecting You. That Just Ended.
On May 4, Anthropic announced a new enterprise services company with Wall Street money behind it. Seven days later, OpenAI launched a deployment company of its own, put more than four billion dollars behind it, and bought a consulting firm…
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Why most enterprise AI pilots never become products
Most enterprise AI pilots fail in production for reasons that have nothing to do with model performance. The model works. The pilot works. What kills the production version is three unanswered ownership questions about the data pipeline, the P&L, and…