Insights
Thought leadership on AI adoption, knowledge work, and what it takes to make agentic systems work in production.
Why the Applied AI Layer Is Harder Than It Looks
Enterprise agentic workflows need workflow infrastructure, model routing, and change management — not a thin chat wrapper on an LLM.
August 18, 2026
The Uneven Diffusion of Agents
Agent adoption will vary dramatically by work type — workflows fully executed in software will transform fastest, while human-loop work requires process reengineering first.
August 18, 2026
Forward Deployed Engineering Is Discovery, Not Delivery
FDEs are how you learn what to build — not how you deliver what's already built. If yours are eating pain and excreting more pain, you have a services business.
August 17, 2026
Jevons Paradox for Knowledge Work
When AI makes knowledge work cheaper, demand expands — organizations will do more, not less.
July 25, 2026
The Agent Deployment Services Wave
Every technology wave creates a consulting industry around it. Agentic transformation is different — it rewires business processes themselves, not just the medium they run on. The services opportunity here will exceed anything the industry has seen.
July 19, 2026
Why AI Rollouts Need Embedded Expertise
Deploying agents is more involved than deploying software — organizations need people who bridge AI capability and business process integration.
July 12, 2026
The Context Bottleneck
Model capability now outpaces enterprise readiness. The real constraint on agentic transformation is not AI performance — it's making organizational knowledge accessible, legible, and safe for agents to act on.
June 30, 2026
The Era of Context
When expert intelligence commoditizes, competitive advantage shifts to the proprietary context your organization can feed its agents.
June 24, 2026
The Agent-Native Enterprise
When agents become the primary consumers of software, every layer of the stack — from infrastructure to business models — must be redesigned around them.
June 18, 2026