LTM partners with Glean to help enterprises build a more governed foundation for AI adoption. The collaboration will combine LTM’s BlueVerse agentic AI ecosystem with Glean’s enterprise context and intelligence layer so organizations can drive productivity, speed up decision-making and scale AI across the business.
LTM said the partnership is meant to help enterprises move from AI experimentation to large-scale deployment without losing control over governance, security or compliance.
Glean’s platform is being used as a context layer that can connect information across those systems and provide secure, permission-aware access for employees.
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LTM and Glean say the joint offering will support key business functions such as IT support, enterprise knowledge management and enterprise application operations. The partnership is aimed especially at large enterprises in banking, financial services, insurance, manufacturing and other regulated environments with complex technology stacks.
LTM says Glean’s AI platform brings enterprise search, assistants, agents and integrations across multiple data sources, while LTM contributes domain expertise, global delivery capability and its BlueVerse ecosystem. The companies say this will give customers a governed path from enterprise search and assistants to autonomous, outcome-driven agents.
Glean says the platform works across collaboration tools, business applications, IT systems, ERP environments, customer platforms and cloud ecosystems, and can complement existing AI investments, including Microsoft Copilot.
The company is framing AI adoption as a context problem: if employees cannot find trusted information quickly, the AI system will stay limited. That is why the partnership centers on permission-aware access, enterprise search and workflow connection as opposed than just model output. This is an inference from the release’s emphasis on fragmented knowledge and governed access.
For enterprises, the partnership signals a more operational version of AI adoption. It is reducing support costs, improving onboarding, shortening incident resolution and making application support more efficient. The release says those are the measurable effects the joint offering is designed to deliver.
A standard enterprise AI rollout often starts with a chatbot or a productivity assistant. This cooperation is broader. It is built around the knowledge layer underneath those tools — the content, permissions, systems and workflows that determine whether AI can act safely inside an enterprise. That makes it closer to an operating model change than a point product launch. This is an inference based on the release’s description of Glean as an enterprise context layer and LTM’s BlueVerse ecosystem as the execution layer.
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