AI Ops Intern

Insight Enterprises, Inc.•Chandler, AZ

2d•Hybrid

About The Position

Insight’s Finance organization is transforming toward AI-enabled, insight-driven operations, led by its AI Operations team, “Thundercats.” The Finance AI & Automation Intern helps Finance teammates identify manual, repetitive, or error-prone work and replace it with Microsoft Copilot-assisted workflows, low-code automations, and analytics that can withstand audit. This is a build-and-ship, ten-week internship. The intern shadows Finance teams and maps their processes, then designs and builds a solution and deploys it as a production tool intended to continue delivering value after the internship. The intern also maintains a Friction Log and Decision Log throughout the summer; these artifacts help Insight define the AI-augmented Finance teammate of the future. The role is hybrid and pays $22 per hour.

Requirements

Be a rising senior with a graduation date of May 2028.
Pursue a degree in Finance, Accounting, Business Analytics, MIS, Industrial Engineering, Economics, or a related field.
Have strong foundational Excel skills and comfort working with data.
Demonstrate analytical thinking and attention to detail.
Be able to clearly document work and communicate findings.
Have an interest in AI, automation, or process improvement in Finance.

Responsibilities

Analyze Finance processes to identify manual effort, rework, and bottlenecks suitable for AI or automation support.
Design and build scoped solutions, such as Microsoft Copilot-assisted workflows, low-code automations, and analytics templates, with guidance from assigned business and AI/automation mentors.
Document processes and solutions, including inputs, outputs, validation steps, and ownership, so they are auditable and sustainable.
Measure impact, including time savings, quality improvements, throughput, and adoption.
Partner with Finance teammates to gather requirements, test solutions, and incorporate feedback.
Maintain a Friction Log documenting manual or repetitive work and instances where AI fails or requires verification.
Maintain a Decision Log documenting situations requiring human judgment that AI cannot supply.
Present work through demos, written summaries, and a final capstone readout to Finance leadership and AI Operations stakeholders.