Why Reference Architecture Matters in AI Programs
A useful reference architecture records the decisions teams can reuse and the decisions each workflow must revisit.
Author
Marcus Lee
Sprinklenet Research contributor focused on implementation planning, integration architecture, and production delivery patterns.
Building AI Products That Survive Model Changes
Treat a model change as an application release. Record the model version, prompt version, tool configuration, retrieval settings, and evaluation results together.
Secure Connectors: The Overlooked Part of Enterprise AI
For each connector, document the authenticated identity, permitted records, allowed actions, credential owner, and revocation process. Test access changes and failures.
What Executives Should Know About AI Observability
Use an operating dashboard that connects service health to task quality.
How to Build a Governed AI Sandbox
A sandbox needs an approved data policy, named users, budget limits, restricted tools, and a clear exit path.
The Case for Model-Agnostic AI Architecture
A provider adapter reduces code changes, but it does not make models interchangeable.
Why AI Pilots Fail at the Integration Layer
Start with a dependency record for one workflow: the source system, permitted users, required action, failure owner, and acceptance test.
The Hidden Work Behind Production AI Chatbots
A fluent chatbot demo hides most of the work that decides whether the system survives real users.
Government
What Federal Buyers Should Ask Before Funding an AI Pilot
Most federal AI pilots fail at transition, not at the demo, because no program office has agreed to own the result.
AI Due Diligence for Buyers and Investors
Investors, acquirers, and enterprise buyers face the same question: how to separate AI capability from marketing. A structured approach to AI due diligence.
Government
Agentic AI in Enterprise Operations
Agentic AI enables enterprises to move beyond reactive chatbots to autonomous systems that plan, reason, and execute multi-step workflows.
Multimodal AI for Business Leaders
Multimodal AI lets enterprises process text, images, documents, and audio within one architecture, opening document intelligence, quality inspection, and knowledge capture that single-modality systems…
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