Practical guides on enterprise AI architecture, governance and operations.https://enterpriseaiarchitects.com/https://enterpriseaiarchitects.com/insights/ai-model-inventory-template/https://enterpriseaiarchitects.com/insights/ai-model-inventory-template/Every AI framework starts by asking what AI you have. This template covers the inventory fields worth recording, how a model card fits alongside it and how to keep the list true, including vendor and embedded AI.Fri, 16 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/architecture-decision-record-template-for-ai/https://enterpriseaiarchitects.com/insights/architecture-decision-record-template-for-ai/AI design choices expire faster than most. An architecture decision record captures why a model, host or guardrail was chosen, what evidence backed it and what would reopen the question.Thu, 15 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-agent-registry-template/https://enterpriseaiarchitects.com/insights/ai-agent-registry-template/An agent registry is the system of record for every AI agent you run. This template lists the fields worth recording, shows a filled-in entry and explains how to keep the registry true without policing it.Wed, 14 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-architecture-review-board-charter/https://enterpriseaiarchitects.com/insights/ai-architecture-review-board-charter/A review board without a charter reviews whatever arrives, at whatever speed it can manage. A one-page charter fixes its scope, its decision rights and the turnaround it owes delivery teams.Tue, 13 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-agent-governance/https://enterpriseaiarchitects.com/insights/ai-agent-governance/Agents do not only produce answers. They take actions with someone's authority. Governing them means deciding who each agent acts for, what it may touch and how you would prove what it did.Mon, 12 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-ready-data/https://enterpriseaiarchitects.com/insights/ai-ready-data/Most enterprise AI programs stall on data, not models. AI-ready data is a testable standard, judged one use case at a time, and you can reach it without rebuilding the platform first.Sat, 10 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-use-case-prioritization-framework/https://enterpriseaiarchitects.com/insights/ai-use-case-prioritization-framework/Most enterprises have more AI ideas than they can fund. A shared scorecard turns the argument about which ones to build into a decision that survives budget season.Fri, 09 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/enterprise-ai-consulting-firms-compared/https://enterpriseaiarchitects.com/insights/enterprise-ai-consulting-firms-compared/Most 'best AI consulting firms' lists are written by a firm that ranks itself first. This one has no ranking. It compares the six types of firm you will actually meet, what each is good at, and where each goes wrong.Thu, 01 Oct 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/agentic-ai-architecture-patterns/https://enterpriseaiarchitects.com/insights/agentic-ai-architecture-patterns/Agents are models that decide what to do next and then do it. The architecture around them decides whether that is useful or dangerous.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-center-of-excellence/https://enterpriseaiarchitects.com/insights/ai-center-of-excellence/An AI center of excellence earns its place by making good AI work faster and safer across the business. The operating model, intake process and funding design decide whether it does that or becomes a bottleneck.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-pilot-to-production/https://enterpriseaiarchitects.com/insights/ai-pilot-to-production/Most AI pilots prove the model can do the task. Few prove the organization can run it. The gap between the two is architecture and operations, and it can be closed deliberately.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-readiness-assessment-checklist/https://enterpriseaiarchitects.com/insights/ai-readiness-assessment-checklist/An AI readiness assessment is only useful if it produces decisions. This checklist scores seven dimensions and shows how to turn the scores into a sequenced plan.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/ai-total-cost-of-ownership/https://enterpriseaiarchitects.com/insights/ai-total-cost-of-ownership/Token prices are the most visible line in an AI budget and rarely the largest. A complete cost model covers the platform, the people and the controls that keep a system in production.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/build-vs-buy-enterprise-ai/https://enterpriseaiarchitects.com/insights/build-vs-buy-enterprise-ai/Build vs buy is rarely a binary choice for enterprise AI. The real decision is which layers you own, which you rent, and how you keep the option to change your mind.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/enterprise-ai-governance-framework/https://enterpriseaiarchitects.com/insights/enterprise-ai-governance-framework/Governance that lives in a policy document slows teams down without reducing much risk. Governance built into the platform does both jobs. Here is how to design it.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/enterprise-ai-reference-architecture-guide/https://enterpriseaiarchitects.com/insights/enterprise-ai-reference-architecture-guide/Every AI workload needs model access, data, retrieval, tools, security and evaluation. A reference architecture decides how those pieces work once, so each team does not reinvent them.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/eu-ai-act-for-us-companies/https://enterpriseaiarchitects.com/insights/eu-ai-act-for-us-companies/A US headquarters does not put you outside the EU AI Act. If your AI systems or their outputs reach the EU market, the regulation can reach you. Here is how to work out your exposure and what to build now.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/how-to-choose-an-ai-architecture-firm/https://enterpriseaiarchitects.com/insights/how-to-choose-an-ai-architecture-firm/The right AI consulting firm leaves you with systems in production and a team that can run them. Here is how to tell which firms can do that before you sign.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/iso-42001-readiness-guide/https://enterpriseaiarchitects.com/insights/iso-42001-readiness-guide/ISO/IEC 42001:2023 is the first certifiable management system standard for AI. Readiness is less about writing documents and more about proving that AI decisions follow a system you can show an auditor.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/llm-gateway-architecture/https://enterpriseaiarchitects.com/insights/llm-gateway-architecture/One controlled path between your applications and every model you use. The single component that makes multi-model AI governable, observable and affordable.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/llm-security-threat-model/https://enterpriseaiarchitects.com/insights/llm-security-threat-model/Prompt injection cannot be patched out of a model, so LLM security has to be designed into the system around it. Here is the threat model we use and the controls that map to each layer.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/llmops-and-ai-observability/https://enterpriseaiarchitects.com/insights/llmops-and-ai-observability/LLM applications fail quietly: answers get worse, costs creep up, and nobody notices until a user complains. LLMOps is the discipline that makes those changes visible and controllable.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/model-context-protocol-for-the-enterprise/https://enterpriseaiarchitects.com/insights/model-context-protocol-for-the-enterprise/MCP gives AI applications a standard way to reach tools and data. That is exactly why it needs enterprise controls: every MCP server you connect extends what a model can see and do.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/nist-ai-rmf-implementation-guide/https://enterpriseaiarchitects.com/insights/nist-ai-rmf-implementation-guide/The NIST AI Risk Management Framework is voluntary, flexible and short on prescriptions. That is its strength and the reason most teams stall. Here is how to turn it into a program that runs.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/rag-architecture-for-the-enterprise/https://enterpriseaiarchitects.com/insights/rag-architecture-for-the-enterprise/Retrieval-augmented generation is easy to demo and hard to run well. Here is how the pieces fit, where they fail, and how to tell whether yours is working.Wed, 30 Sep 2026 00:00:00 GMThttps://enterpriseaiarchitects.com/insights/what-is-an-enterprise-ai-architect/https://enterpriseaiarchitects.com/insights/what-is-an-enterprise-ai-architect/The role that turns a pile of AI pilots into a platform people can build on. What the job covers, how it differs from adjacent roles, and how to staff it.Wed, 30 Sep 2026 00:00:00 GMT