How Intercontinental Exchange Uses Moveworks EXI to Turn IT Tickets into Actionable Insights

Intercontinental Exchange (ICE) operates global financial exchanges, clearing houses, and mortgage technology serving markets worldwide. To move beyond lagging IT metrics like SLAs and satisfaction surveys, ICE deployed Moveworks’ HelpBot on Microsoft Teams, powered by an NLU-driven Employee Experience Insights (EXI) engine that converts raw IT tickets into a prioritized action list. EXI revealed hidden pain points—including that Outlook was ICE’s top driver of IT issues—giving the IT leadership team visibility they previously couldn’t achieve with conventional analytics.

Outcomes

Qualitative shiftIT visibility
December 2020Deployment date

Tools & Technologies

1MA
Moveworks AI Assistant
AI assistant by Moveworks that automates IT and HR support through natural language, reducing employee ticket volume.

AI Categories

Challenge

ICE’s conventional IT metrics—SLAs, ticket counts, satisfaction scores—provided no visibility into why employees were struggling or which systems drove the most friction, leaving IT leaders unable to prioritize investments effectively.

Solution

ICE deployed HelpBot via Moveworks on Microsoft Teams, using NLU-powered Employee Experience Insights (EXI) to analyze unstructured ticket data and generate a segmented, actionable breakdown of IT pain points by department, location, and employee type.

Full Story

Intercontinental Exchange runs critical financial infrastructure: global exchanges, clearing houses, and mortgage technology. With operations spanning multiple business units and employee populations, keeping the IT function running efficiently is a competitive necessity. Chuck Adkins, SVP of Information Technology at ICE, tracked the usual metrics—SLAs, ticket volume, resolution speed, satisfaction scores. But he recognized these were trailing indicators: they told him what happened, not why, and not where to focus to prevent recurrence.

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Source

MOVEWORKS
January 2025
Original case study

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