Blog / Enterprise
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Enterprise posts
Posts for engineers and architects building agentic AI in production. System architecture, evaluation, reliability, cost, governance, and senior AI-engineering interview prep. Companion writing to Volume II, Designing Enterprise Agentic AI Systems.
25 posts Paired with Vol. II · Practice → All posts →
- Oct 10 2026
On Whose Authority? The Identity Question in AI Agent Security
AI agent security starts with identity: who is acting, with what permissions, and can you trace it afterward. What my unexplained domain cancellation taught me.
· 12 min read
- Sep 29 2026
AI-to-Human Handoff in the Contact Center: What the Human Actually Receives
Leaders say their AI hands off with context. Customers say they still repeat themselves. Why both can be true, and what to check on your platform.
· 23 min read
- Sep 14 2026
Best Voice AI and IVA Platforms for Contact Centers
Fourteen voice AI and IVA platforms for contact centers, compared by who owns the conversation logic and who makes the changes.
· 32 min read
- Aug 14 2026
The Hard Part of an AI Eval Set Is the Answer Key
An automated score said my retriever was failing. I read the failures by hand and found my own answer key was wrong. What that cost, and what it did not fix.
· 10 min read
- Jul 27 2026
What an AI Agent Actually Costs Per Resolved Customer Issue
Most AI contact center business cases count too little cost and divide it by the wrong outcome. Price your agent per resolved issue, not per contact.
· 40 min read
- Jul 23 2026
When the Small Language Model Isn't the Bottleneck
On an offline 350M assistant, model choice mattered, and then stopped being the limit. Several failures I blamed on the model started in the system around it.
· 27 min read
- Jul 19 2026
Turn Up AI Autonomy Gradually, Like a Dial, Not an On/Off Switch
Autonomy is not an on/off property of an agent. It is a per-task setting you turn up gradually as the agent earns trust. Here is the dial, and how to move it.
· 18 min read
- Jul 14 2026
The AI Agent Production Readiness Checklist
Twelve checks that decide whether an agent ships. Any red holds the launch until it is green or covered, except four hard blocks that cannot be covered.
· 41 min read
- Jul 05 2026
Forward Deployed Engineering: Why Agentic AI Doesn't Ship Itself
Forward deployed engineering feels new because vendors finally named it. Nine billion dollars in 2026 is the market admitting agentic AI does not ship itself.
· 17 min read
- Jul 05 2026
LangGraph for Voice AI Agents: Strengths, Limits, and Production Risks
LangGraph is the stateful control-flow brain for a voice agent, not the real-time media layer. Where it fits, where it breaks, and how to compose it.
· 15 min read
- Jun 23 2026
AI Agent Observability Is Not Just Logs
Logs tell you what the system did. Agent observability tells you why it decided wrong. Here is what to observe, what to evaluate, and what to instrument first.
· 26 min read
- Jun 17 2026
Why Most Agentic AI Demos Fail in Production
A demo proves an agent can work once. Production asks whether it works repeatedly, safely and within budget. The four gates that decide whether it ships.
· 10 min read
- Jun 17 2026
From Deflection to Resolution: How IVA Is Rewiring the Contact Center
Legacy IVR was built to deflect callers. Intelligent virtual agents should resolve them. Why that shift re-prices who wins the contact center in 2026.
· 22 min read
- Jun 11 2026
Happy Agents, Better CX: The Signal Your Dashboard Skips
A viral heart-rate experiment ranked the meetings that stressed an engineer most. It points at the CX signal almost no dashboard tracks, and how to use it.
· 6 min read
- Jun 07 2026
Why Voice AI Agents Are Harder Than Chatbots
A working chatbot rarely survives the jump to a phone line. Latency as a hard budget, barge-in, speech recognition errors, silence, and real-time handoff.
· 15 min read
- Jun 07 2026
What to Automate First: A Leader's Framework for Agentic AI in 2026
The question that stalls most agentic AI programmes is not whether you can build an agent. It is which process first. Four criteria and one hard gate.
· 9 min read
- May 26 2026
Agent Failure Modes Interviewers Probe: Tool Misuse, Loops, Prompt Injection
Senior interviewers do not ask how agents work. They ask how agents break. The seven failure modes that decide most agentic AI system-design rounds.
· 12 min read
- May 26 2026
How to Answer "Design an Agentic System" in a System-Design Interview
A playbook for the agentic system-design interview: the seven-part structure interviewers want, a worked example, and the answers that get people rejected.
· 12 min read
- May 26 2026
What Counts as Agentic AI, and What Does Not
Chatbots, workflows and agentic AI are not the same thing. A working definition, the autonomy ladder, production gotchas, and a 10-question checklist.
· 25 min read
- May 24 2026
Agentic AI Interview Questions: 30 Real Questions with Production Answers (2026)
Thirty questions you actually get in a senior agentic AI engineering interview, with production answers from someone who has shipped these systems.
· 18 min read
- May 24 2026
Best Agentic AI Books in 2026: An Honest Engineer's Shortlist
A short, opinionated reading list for engineers learning agentic AI in 2026. Why so few agentic-AI books exist yet, and which adjacent ones actually hold up.
· 6 min read
- May 24 2026
ReAct vs Plan-and-Execute: Which Agent Pattern, and How to Explain It in an Interview
The two patterns most agentic interviews ask about. What each one actually does, when each one is right, and the hybrid most production systems end up using.
· 7 min read
- May 22 2026
RAG vs Agents: The Interview Question Candidates Get Wrong
RAG and agents are not competing alternatives. They operate at different layers and compose. Why the question is a category error, and what agentic RAG is.
· 8 min read
- May 15 2026
GitHub Copilot in 2026: A Practical Learning Guide for Developers
A guide to the GitHub Copilot ecosystem in 2026: plans, assisted and agentic workflows, the CLI, MCP, enterprise governance, and what is already obsolete.
· 58 min read
- Jan 23 2026
Sharing My AWS Certified Generative AI Developer (AIP-C01) Prep Notes
Architecture-focused prep notes for the AWS Certified Generative AI Developer (AIP-C01) exam: Bedrock, RAG, agents, guardrails, evaluation and exam traps.
· 55 min read