The nexwave perspective
Ideas worth following.
A different perspective on AI, data and cloud. And a practical place to take it.
Technology. Industry. Possibility.
11 articles
Lachlan Wright distinguishes AI assistance within an existing delivery process from redesigning the workflow around supervised agents. The starting point is where work waits, not how much code a tool can write.
Lachlan Wright compares Jev, OpenAI Decisions and Microsoft-Decision-1 on business-style tasks, examining accuracy, latency, calculated cost and confident mistakes.
nexwave explores the identity, observability and accountability questions that determine whether enterprise AI agents can move from demo to production.
Ram Vasudevan describes how experienced, cross-functional teams tackle delivery blockers together, and why access to the right expertise matters more than hierarchy.
Justin Shagam explores the widening gap between AI experimentation and business outcomes, with a practical starting point in employee experience and business processes.
nexwave sets out the consulting habits behind dependable delivery, from purposeful meetings and clear status reports to scope control, forecasting and shared records.
A look back at Microsoft Ignite 2025 and the shift from individual copilots to governed agents, unified data platforms and an operating model for AI at work.
nexwave explains tokens, licensing, consumption and provisioned capacity, and how to model AI usage before committing to a platform or a budget.
nexwave explains how to match Microsoft AI tools to the problem, balance experimentation with governance, and measure whether the investment delivers value.
How fractional data leadership connects strategy, governance and practical Microsoft Fabric delivery without requiring a full-time Chief Data and AI Officer.
What goes into a dependable Microsoft Fabric foundation: architecture decisions, iterative data delivery, governance and the enablement that helps a team take ownership.