Resources
Blog
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?
The Enterprise Doesn't Have a Data Problem, It Has a Knowledge Architecture Problem
Most enterprise AI projects are failing for the same reason, and it has nothing to do with the model.
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.
Personalization and Role-Based AI Experiences are the Next Enterprise AI Battleground
Enterprise AI is entering a more consequential phase. The market is no longer satisfied with generic assistants that can summarize documents, draft emails or answer broad questions with equal confidence for everyone in the company.
How AI Agents Decide Which Tool to Use
Tool selection is a central part of agentic AI. The quality of the result depends on the agent choosing an appropriate action, supplying the correct input, and evaluating the returned information before continuing.
New features of Mindbreeze InSpire 26.5 Release
Want to check out the highlights of the Mindbreeze InSpire 26.5 Release? Learn more in the following blog post.
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.
Tokenmaxxing: Why More Context Does Not Automatically Mean Better AI
What Is Tokenmaxxing?Large Language Models process information in tokens. Tokens can be words, parts of words, or characters that the model uses to understand prompts and generate responses. Every question, instruction, document excerpt, and answer consumes tokens.
The Real Agentic AI Opportunity C-Suite Leaders Are Missing
Every major technology cycle produces the same headline: jobs are disappearing. I have watched this pattern repeat throughout my career, first with enterprise search, then with knowledge management platforms, then with early machine learning deployments.