DECISION ARCHITECTURE

Make consequential AI and platform decisions with evidence, not momentum.

Decision Crafters helps technology leaders structure uncertain decisions, separate evidence from assumptions, compare viable alternatives, and identify the smallest responsible next action.

PATH ONE

Explore the research

Evidence-labelled briefs, syntheses and method notes. Enter →

PATH TWO

See whether the Diagnostic fits

A bounded review of one architecture decision. Discuss the decision →

Latest

Research Hub →
2026·10·04

A Practical Architecture Review for Agentic Systems

Eight review dimensions, the evidence to ask for in each, and the red flags to watch for before an agentic system earns more autonomy.

2026·09·29

Does This Business Actually Need an AI Operating System?

Before building an AI operating system, test whether the real problem is ownership, integration, one bounded AI workflow, or repeated cross-workflow governance.

2026·09·27

MCP Gives Agents Tools. Who Gives Them Authority?

MCP gives agents connectivity. Enterprise architecture still needs identity, delegated authority, policy, evidence, and revocation.

2026·09·01
Method note

Agent Harnesses Are a Layer, Not the Whole AI System

A comparative synthesis of OpenAI, Anthropic, and DeepSeek harness architectures—and why the harness should be treated as a replaceable runtime layer, not the whole AI system.