Insights
How enterprise Azure architecture — identity, networking, policy, observability and cost control — evolves when AI applications and agents enter the estate.
AI does not eliminate traditional cloud architecture. It makes a strong cloud foundation more important.
11 min read
Read the articleIdentity, authorization, approval gates, observability and cost control for AI systems that do not just answer questions but take action in enterprise systems.
The more an AI system can act, the more important identity, authorization, governance and observability become.
12 min read
Read the articleA practical framework for deciding what to stabilize, expose and modernize before introducing AI — and what does not need a rewrite at all.
Modernization should follow business value, not technology fashion.
10 min read
Read the articleEnterprise software records requests and results well. People perform the coordination in between. That gap is the largest practical opportunity for AI agents.
The biggest automation opportunity may not be performing the work. It may be making sure the work actually gets completed.
10 min read
Read the articleExtracting fields from documents is a solved-enough problem. Turning extracted information into validated, reconciled, actioned outcomes is where the value is.
Enterprises do not need extracted fields. They need outcomes.
9 min read
Read the articleHow human architects, specialized agents and orchestration combine into a repeatable modernization capability across an application portfolio.
The future software team is not human or AI. It is human + AI.
13 min read
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