State of AI Architecture 2026
State of AI Architecture 2026
Most enterprise AI conversations focus on the model: which one, from whom, and at what price. This study looks at everything that gets built around the model, including the integrations, workflows, guardrails, memory and evals that turn a model into a working system, then asks how portable that system really is.
Contain Your AI Costs: From Tokenmaxxing to Tokenomics
Contain Your AI Costs: From Tokenmaxxing to Tokenomics
The five pillars of sustainable AI economics, and why none of them work inside a vertically integrated agent stack For the first phase of enterprise AI, consumption was the metric. …
How to thrive in a multi-model world
How to thrive in a multi-model world
Enterprise AI value lives outside of the model, in the context, tools, policies, and knowledge around it. It’s imperative that you own it. An AI agent that does real work …
Enterprise Readiness Guide for the July 2026 MCP Spec Update
Enterprise Readiness Guide for the July 2026 MCP Spec Update
How to assess, migrate, and validate internal MCP servers for the July 28, 2026 specification revision.
MCP Maturity Model for Financial Services (2026)
MCP Maturity Model for Financial Services (2026)
Identify where your firm is today, and drive deeper adoption of AI agents and MCP servers
MCP Maturity Model for Retail (2026)
MCP Maturity Model for Retail (2026)
Identify where your retail organization is today, and drive deeper adoption of AI agents and MCP servers
