Blog Post6 min read
AI Architect 107: MCP, APIs and Enterprise Integrations
Understanding MCP, APIs, middleware, service abstraction layers, and enterprise integration patterns for AI systems.
MCPEnterprise AIAPIsIntegration ArchitectureAgentic AI
Topic
AI governance articles by Tony Mamedbekov
Articles and publications on AI governance, operating models, reliability, evaluation, and controlled enterprise adoption.
AI governanceenterprise AI governanceenterprise AIAI operating modelsOperating AI Systems
Publications on AI governance and operating models
Internal posts and selected external articles connected to enterprise AI control, reliability, and implementation.
Blog Post6 min read
AI Architect 106: AI Observability, Evaluation and Guardrails
How to measure AI quality, detect hallucinations, evaluate agents, manage drift, and implement operational guardrails.
AI ObservabilityAI EvaluationAI GuardrailsEnterprise AIAgentic AI
Blog Post8 min read
AI Architect 105: Enterprise AI Security — Securing Agents, Models, and Enterprise Data
A practical guide to enterprise AI security, covering agents, prompt injection, authorization, data protection, guardrails, and security architecture patterns.
AI SecurityEnterprise AIAgentic AIAI GovernancePrompt InjectionSecurity Architecture
Blog Post3 min read
AI Architect 104: AI Governance and Risk Management
A practical guide to AI governance, risk categories, explainability, auditability, human review, and trust in enterprise AI systems.
AI GovernanceRisk ManagementEnterprise AIAI ArchitectureResponsible AI
Blog Post7 min read
AI Architect 103: Agentic AI and Multi-Agent Systems
Understanding agent orchestration, multi-agent architectures, context handoff, memory, evaluation, and enterprise AI workflows.
Agentic AIMulti-Agent SystemsAI ArchitectureEnterprise AIAI Agents
Blog Post9 min read
AI Architect 102: RAG, GraphRAG, and Knowledge Systems
A practical guide to retrieval systems, embeddings, vector databases, metadata, GraphRAG, and why retrieval quality determines AI quality.
RAGGraphRAGVector DatabasesEnterprise AIKnowledge SystemsAI Architecture
Blog Post10 min read
AI Architect 101: Building Enterprise AI Systems That Actually Work
A practical introduction to enterprise AI architecture, governance, RAG, agentic systems, security, observability, and operating models.
AI ArchitectureEnterprise AIAI GovernanceAgentic AIRAGOperational AI Systems
LinkedIn Article4 min read
LinkedIn
The 2026 Enterprise AI Paradigm: The End of "Tokenmaxxing" and the Rise of Governed, Role-Specific SLMs
Enterprise AI is moving away from unrestricted token consumption and toward governed, role-specific small language models designed for measurable business outcomes.
AIEnterpriseSLMsGovernance
LinkedIn Article9 min read
LinkedIn
The Missing Layer in Enterprise AI Operating Models
Enterprise organizations implementing AI often overlook a critical layer in their operating models. Discover what it is and how to address it.
AIEnterpriseAI GovernanceOperating ModelsOrganization
LinkedIn Article7 min read
LinkedIn
Why AI in Oil & Gas Only Works When Reliability Leads
In the energy sector, AI implementation requires a focus on reliability and operational excellence as foundational principles for successful deployments.
AIOil & GasAI GovernanceReliabilityOperations
LinkedIn Article8 min read
LinkedIn
Why Most Enterprise AI Initiatives Fail - And What Leaders Must Know
Enterprise AI initiatives face significant challenges. Learn what leaders must understand to avoid common pitfalls and drive successful AI transformations.
AIEnterpriseAI GovernanceLeadershipStrategy
Contributed Article8 min read
CMSWire
Composable DXP: Is It Sales Jargon or Something More?
Exploring the reality behind composable digital experience platforms and whether they deliver on their promises for enterprise organizations.
DXPEnterpriseArchitectureDigital Experience