Britney Chandler
Blogs by Britney Chandler
How MCP Connects AI to Your Business Information
The Model Context Protocol, commonly called MCP, provides a standard way for AI applications to connect with external information and tools. It gives assistants and agents a consistent way to request help from systems outside the AI model.
How an AI Agent Uses MCP to Complete a Business Task
A customer reports that a production system has failed for the third time in two months. A service employee needs to review the customer’s coverage, understand the earlier incidents, find current technical guidance, and decide whether the issue should be escalated.
From Enterprise Search to Enterprise Action: Daniel Fallmann Joins the Disambiguation Podcast
What does an AI agent need before an enterprise can trust it to complete real work?
Context Has a Shelf Life
An AI-generated answer can sound confident, cite an internal source, and still be wrong for the business today.
Why the C-Suite and Middle Management See GenAI Differently
The Mindbreeze 2H 2026 GenAI Confidence Index Report shows a clear divide between the C-suite and middle management perspectives.
Your AI Agent Has Access. Should It?
AI agents can retrieve information, use tools, update systems, and initiate business processes. Each added capability makes the agent more useful, but it also raises an important question: What should the agent be allowed to access?
Enterprise Knowledge, Available Securely in Google Chat
Does the company reimburse mileage? Is a receipt required? What is the limit for a meal while traveling?
AI Agents Need Job Descriptions Too
When someone starts a new job, they need more than a company login and access to a few applications. They need to understand their responsibilities, the decisions they are authorized to make, the tools they should use, and when to involve someone else.AI agents need the same clarity.
Context Engineering: How Better Context Improves Accuracy, Reduces Hallucinations, and Controls AI Costs
The quality of generative AI answers depends on far more than the language model itself. Every response is shaped by the information provided before the model begins generating text.
The Business Value of Secure Enterprise AI Search
Secure AI search is often discussed as a technical or compliance topic. But for enterprises, authorization and data protection are not only about reducing risk. They also create business value.
Secure AI Search: Why Authorization and Data Protection Matter
Enterprise AI search is changing how employees find and use information. Instead of searching through disconnected systems, employees can ask questions, receive AI-generated answers, summarize content, and get guidance based on enterprise knowledge.
Finding Research Insights Across Large Enterprises
How AI-powered research discovery helps teams find and reuse knowledge fasterLarge enterprises create research constantly: market studies, customer insights, competitive intelligence, product research, innovation findings, and human-centered research.