Mindbreeze

15/09/2026

Enterprise AI should expand business value, not infrastructure demands.

Mindbreeze SaaS reduces maintenance and upgrade responsibilities, provides new capabilities every six weeks, and lets teams focus on data, use cases, and adoption.

14/09/2026

Mindbreeze brings governed enterprise context into AI ecosystems such as ChatGPT and Copilot—so employees can access company knowledge without leaving the tools where they already work.

10/09/2026

The enterprise doesn’t have a data problem. It has a knowledge architecture problem.
Better models won’t fix fragmented, outdated, or disconnected information.

Daniel Fallmann explains why the foundation underneath enterprise AI matters most.
Read more: https://www.mindbreeze.com/blog/the-enterprise-doesnt-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.The pattern is consistent across industries. An organization invests heavily in AI, deploys it into production and watches it deliver wrong answers with complete confidence. Outdated policies trea...

09/09/2026

𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗤𝘂𝗲𝗿𝘆 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴

Complex enterprise questions often require information from several sources. Processing those needs in parallel can help AI build a more complete answer, faster.

08/09/2026

What’s new in Mindbreeze InSpire 26.3–26.5? Join us September 10 for a 30-minute webinar covering the latest features and improvements.

9 AM CDT / 4 PM CEST

Register here: https://www.mindbreeze.com/webinar/whats-new-mindbreeze-inspire-263-265-release

We are delighted once again to be able to introduce you to a number of new features as part of our Mindbreeze InSpire 26.3 - 26.5 Releases. You can find out more about the new features of the latest releases in the release blogs on our website or in the release notes in the online documentation.

07/09/2026

One enterprise used Mindbreeze InSpire to make years of research easier to discover and reuse—saving 8,000+ hours and more than $1M in estimated time.
See how here: https://www.mindbreeze.com/case-studies/finding-research-insights-across-large-enterprises

Organizations invest significant time, budget, and expertise into research. Market studies, customer insights, competitive intelligence, product research, innovation findings, and human-centered research all contain valuable knowledge that can shape strategy and improve business outcomes.However, th...

04/09/2026

AI agents need job descriptions too.
A defined purpose, approved knowledge and tools, access boundaries, and escalation rules make agents easier to test, govern, and improve.
Read more: https://www.mindbreeze.com/blog/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.An AI agent may....

03/09/2026

𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿𝘀

In enterprise AI, connectors provide access to knowledge stored across websites, databases, SharePoint, CRM and ERP systems, and other business applications.

Mindbreeze uses connectors to make distributed enterprise information searchable and available as current, permission-aware context for AI experiences.

02/09/2026

Why can the same AI model produce one trusted answer and another that misses the point? The difference starts with context. Gerald Martinetz explains how context engineering improves accuracy, speed, and token use.

Listen here: https://www.mindbreeze.com/podcast/episode-41

In this episode of Illuminating Information, Gerald Martinetz of Mindbreeze explains context engineering and why it is essential for accurate, trustworthy enterprise AI.

01/09/2026

Agent deployment is accelerating while enterprise readiness falls behind.
Mindbreeze helps close the gap with connected enterprise knowledge, permission-aware context, role-specific AI agents, and governed workflows and approvals.
Read here: https://aibusiness.com/agentic-ai/prompt-agentic-ai-outpacing-enterprise-readiness

As agent deployments accelerate, many enterprises are still struggling with the processes, data, costs and controls needed to support them at scale.