250+ users flooded a 3-person team with failed jobs and standards questions. Now an AI agent fixes routine issues before escalating.
A global energy business unit combining supply, trading, risk management, and asset optimization, with over 250 users across business, back office, HR, and risk functions running analytics on a central data platform.
As adoption grew to 250+ users, mostly in nontechnical roles, a three-person central support team was flooded with failed jobs, connection issues,...
“The agent lets us resolve the routine issues automatically and put a person in the loop only where judgment matters, so we spend our time helping people build better rather than firefighting.”
Global energy utility providing renewable power, natural gas, and infrastructure services.
AI and machine learning platform for enterprise data science and analytics.
ENGIE's IT support is part of this use case:
Related implementations across industries and use cases
Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
A two-person team had zero visibility into AI tools spreading across endpoints. Now every install is tracked and governed in real time.
Siloed tools left the SOC blind to threats spanning satellites to cloud. AI now closes most cases automatically, in seconds.
250+ users flooded a 3-person team with failed jobs and standards questions. Now an AI agent fixes routine issues before escalating.
A global energy business unit combining supply, trading, risk management, and asset optimization, with over 250 users across business, back office, HR, and risk functions running analytics on a central data platform.
As adoption grew to 250+ users, mostly in nontechnical roles, a three-person central support team was flooded with failed jobs, connection issues,...
“The agent lets us resolve the routine issues automatically and put a person in the loop only where judgment matters, so we spend our time helping people build better rather than firefighting.”
Global energy utility providing renewable power, natural gas, and infrastructure services.
AI and machine learning platform for enterprise data science and analytics.
ENGIE's IT support is part of this use case:
Related implementations across industries and use cases
Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
A two-person team had zero visibility into AI tools spreading across endpoints. Now every install is tracked and governed in real time.
Siloed tools left the SOC blind to threats spanning satellites to cloud. AI now closes most cases automatically, in seconds.