Glassbox Launches Pulse and MCP Server for Enterprise AI Context
In a press release, Glassbox announced Glassbox Pulse, an operational intelligence engine powered by AI, and the Glassbox MCP Server for enterprise AI systems.
Glassbox Pulse uses machine learning to identify changes in customer journeys, classify behavior and technical signals, and surface issues that need attention. The company said teams can ask operational questions in natural language and receive answers tied to evidence such as customer behavior, journey impact, errors, network logs, and server failures.
The Glassbox MCP Server uses the Model Context Protocol to give AI applications and agents access to governed Glassbox context without ingesting raw digital journey data. Glassbox said the products are intended for enterprises that manage digital customer journeys across web and mobile experiences.
Glassbox said its platform is used by seven of the ten largest U.S. banks by assets and serves enterprises in financial services, insurance, retail, and other digital industries in more than 40 countries.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 McGraw Hill Adds AI Study Tools to Connect Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 ALTOUR Unveils AI Platform for Corporate Travel Decisions Oct 16 BOC Group Adds AI Assistant to ADOIT 21Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
Precisely Adds MCP Access to Data Management Products
Bloomberg Launches Enterprise MCP for Financial Data Access
HG Insights Launches Contextual Intelligence Platform
Pluralsight launches AI MCP for learning in AI tools
Everpure Adds AI Data Management and Inference Tools
Daily AI Brief: the AI news that matters, in your inbox.