AI Reporting Saves 4,000 Engineering Hours a Year

About our client

The client is a multi-state organization operating retail stores alongside education and workforce programs. With plans to expand nationally and double the business within five years, it needed a data and reporting foundation that could support growth.

Challenge

Finance, HR, retail, and program data sat in separate systems, with some information locked inside vendor platforms. Leaders needed to understand performance across these functions, but the disconnected data made it difficult to establish a shared view of the organization.

Reporting depended on manual work, and leaders did not fully trust the reports they received. Every new business question meant another report build. Engineering effort continued to go into producing reports as teams sought answers from their data.

The organization also had an ambitious growth plan: double the business within five years and position itself to scale nationally. It needed to bring its data together and change how people accessed reporting so the same manual work would not continue to shape its approach to growth.

Solution

Technology Partners built a modern data platform using Databricks in Azure with Databasin. The platform brings finance, people, retail, and program data together in one place, creating a common foundation for department and enterprise reporting.

The team replaced hand-built dashboards with AI agents that produce reports. Reporting draws on the unified platform, giving teams a way to access department-level information and understand performance across the enterprise without continuing to build dashboards by hand.

Executives, leaders, and frontline staff also gained secure, role-based chat with their own data. They can ask questions through a conversational interface, with access governed by their roles. This gives people another way to find answers beyond requesting a new report build.

Technology Partners added agent workflows that alert the appropriate person when something needs attention. A person approves every action, preserving human oversight as the platform helps teams identify issues and respond.

Results

The organization saves 4,000 engineering hours every year. AI agents now produce department and enterprise reporting, replacing the hand-built dashboards that previously consumed engineering effort. Teams can obtain reporting without repeating the manual build process for each new question.

Bringing operational data together also improved confidence in the information leaders use. Secure, role-based chat gives executives, leaders, and frontline staff access to their own data, while agent alerts direct issues to the appropriate person. Human approval remains part of every action.

Every new question used to mean another report build. By bringing the data together and changing how people access it, we helped the organization recover engineering time and give teams answers they can trust, while keeping people responsible for approving actions.

Jake Gower
Practice Director, Technology Partners

The platform positions the organization to scale nationally and supports its plan to double the business within five years. With unified data and automated reporting in place, it can pursue that growth using a common foundation across its operations.

Key Outcomes

• 4,000 engineering hours saved annually.
• Hand-built dashboards replaced by AI-generated department and enterprise reporting.
• Finance, HR, retail, and program data brought together in one platform.
• Secure, role-based chat with data for executives, leaders, and frontline staff.
• Agent workflows alert the appropriate person, with human approval required for every action.
• A platform built to support national expansion and a goal of doubling the business within five years.