Enterprise Architecture
Viewing all posts categorized under Enterprise Architecture.
The Agent Factory: How to Build 100+ Specialized AI Agents at Scale
Building one AI agent is an engineering project. Building and operating 100 specialized agents is a platform engineering challenge. This guide explains how to design an Agent Factory that standardizes agent creation, dynamically routes requests, reuses tools and capabilities, enforces security policies, automates testing, and manages the full agent lifecycle. Learn how enterprise engineering teams can scale from isolated AI pilots to a governed ecosystem of specialized agents without creating 100 independent systems to maintain.
HIPAA-Compliant AI Agents: Governance Architecture for Healthcare
Healthcare AI agents introduce new governance challenges when they interact with electronic health records, clinical workflows, billing systems, and patient information. This technical guide explains how to design a HIPAA-aligned AI agent architecture using least-privilege access, business associate agreements, data minimization, encryption, immutable audit trails, prompt-injection defenses, human oversight, and continuous risk assessment. It also outlines a practical implementation strategy for healthcare organizations deploying agentic AI without compromising patient privacy or operational accountability.
Legacy .NET to Agent-Native: A Zero-Rewrite Migration Playbook
Learn how to modernize legacy .NET applications for agentic AI without rewriting business-critical systems. This enterprise migration playbook explains facade adapters, ASP.NET Core reverse proxies, OpenAPI contracts, Semantic Kernel integration, agent orchestration, security boundaries, deployment strategies, and a phased roadmap for introducing AI capabilities while preserving existing business logic.
MCP Protocol Explained: Building the Agent Internet with Model Context Protocol
As enterprises move from isolated AI assistants to agentic systems, interoperability is becoming a critical challenge. Model Context Protocol (MCP) provides a standardized approach for connecting AI models with tools, data sources, enterprise applications, and other agents. This guide explains MCP architecture, enterprise adoption patterns, security considerations, and its role in building the emerging Agent Internet in 2026.
FinOps for AI: How We Cut LLM Costs by 70% Using Hybrid Routing
As enterprise AI adoption accelerates, inference spending is becoming a significant operational expense. This guide explains how a hybrid routing architecture can reduce LLM costs by up to 70% by matching workloads to the appropriate model, implementing governance controls, and applying FinOps principles to AI platforms.
Modernize Legacy .NET Applications with Agentic AI: Zero-Rewrite
Unlock the power of Agentic AI to modernize legacy .NET applications without a full rewrite. Learn architectural patterns, implementation steps, and best practices for enterprise success.