Emergys Partners With Glean on Enterprise AI
The digital transformation services company is working with the enterprise AI platform to help businesses move AI and agentic systems from pilot to production.
Updated on Nov. 2, 2026 in Artificial Intelligence
Live Poll
Do you think AI tools at your job will make your work better?
Emergys, a digital transformation services company, has partnered with Glean, an enterprise AI platform, to help enterprises move AI and agentic systems from pilot to production. The announcement was made from Raleigh, N.C.
Why it matters
Critical knowledge in enterprises remains fragmented across systems, and the partnership targets that gap by connecting scattered information for AI use. It reflects enterprise demand for moving AI projects beyond pilot stages into operational systems.
The announcement describes a partnership rather than measured results, and it cites reduced AI token usage for Emergys customers without providing a baseline or percentage. Specific figures on the reduction and customer outcomes have not been disclosed.
The players
Emergys
Emergys is a digital transformation services company that designs, deploys, and operates business-critical enterprise systems and workflows.
Glean
Glean is an enterprise AI platform that enables teams to build custom AI agents across multiple models and connects fragmented enterprise knowledge through a knowledge context graph.
The details
Glean's platform lets teams build custom AI agents across multiple models and rests on three pillars: an enterprise platform, a knowledge context graph that connects scattered information, and an intelligent architecture. Emergys designs, deploys, and operates business-critical enterprise systems and will implement the foundational platforms, while Glean unifies knowledge across them.
Timeline
• November 2, 2026: Emergys and Glean announce the partnership.
The Tech Race
The partnership extends Glean's knowledge context graph, which the company uses to unify scattered enterprise information, into implementation work led by a services firm. It positions Glean alongside enterprise software vendors competing to make AI agents operational inside existing business platforms.
For enterprise teams, the partnership aims to connect information spread across internal systems so employees can use AI agents on that data. Companies adopting the approach may see lower AI token usage, though the source provides no specific savings figures.
The takeaway
Enterprises weighing AI investments may find that unifying fragmented internal knowledge is a prerequisite for moving agents from pilot projects into daily operations. Tracking disclosed efficiency metrics will show whether such partnerships deliver measurable gains.
Further reading
For more on how companies are bringing AI into production, see Artificial Intelligence coverage from Raleigh.
Live Poll
Do you think AI tools at your job will make your work better?
