Better AI Decisions
Strategy, business value, governance, operating models, model selection, and use-case prioritization.
Saying the quiet part out loud.
Helping organizations make better AI decisions.
Independent analysis that asks harder questions about AI: where it creates value, what it really costs, and when to walk away.
Explore DecisionFirst AIRead my insightsTechnology doesn’t create business value. Better decisions do.
The point of view
Start with the decision.
Most AI programs begin by selecting a tool or model. DecisionFirst AI begins with the business decision that must improve, then works backward to the capabilities needed.
Enterprise AI Architecture & Security
Infrastructure, data delivery, applications, APIs, identity, runtime controls, resilience, and observability.
AI and Work
How AI changes roles, judgment, accountability, and the decisions people make at work.
Latest insights
Say the quiet part. Back it up.
Agentic AI Is Everywhere. But How Many Agents Does Your Business Actually Need?
Agentic AI promises to automate complex business workflows, but more agents don’t necessarily deliver better results. Before adopting a multi-agent architecture, enterprise leaders should evaluate specialization, parallel execution,…
The Next AI Infrastructure Purchase Needs a Security Boundary
As AI agents gain access to enterprise applications, data, credentials, and business systems, infrastructure security requirements are changing. NVIDIA’s OpenShell Reference Architecture highlights the need for isolated execution,…
Anthropic Is Diversifying Its AI Chips. What Should Enterprises and the Technology Channel Learn From That?
Anthropic's IPO filing highlights its investment in running AI workloads across NVIDIA, AMD, Google and Amazon chips. As AI vendors build increasingly integrated ecosystems, enterprise leaders face an…