Can Do Uses AI on AWS to Offer Its Customers Virtually Instant Project and Resource Management Reports

In 2024, Can Do sought user feedback to find new ways to help its customers. The company found common challenges: analyzing massive amounts of project data and generating reports. “The process of business analysis and reporting is slow, difficult, manual, and unsecure,” says Thomas Schlereth, CEO at Can Do. “We wanted to engage our customers in building a data analysis solution.” Can Do recognized that generative artificial intelligence (AI) could offer insights into complex schedules and tasks.

Using AI to Improve User Experience

Can Do worked alongside AWS to create a chat tool using Amazon Q Business, an enterprise AI assistant. The company rolled out the AI solution in October 2024. “We worked for 5 months on the solution from the ground up,” says Schlereth. “Without using Amazon Q Business, we would have needed years.”

Can Do’s AI tool is available through the cloud with one click, which makes setup seamless and simple. Using the tool, customers can interact with their project management dashboard and quickly extract useful information from it. For example, the tool can summarize timeline changes or measure a team member’s impact on a project.

Empowering Virtually Instant Report Generation

Can Do has introduced a totally new experience for its customers. Before, end users would have to wait days or weeks to get reports for meetings or overall project progress. Now, they can get results in 1 second without taking analysts away from higher-value tasks. Customer surveys revealed that managers saved 20–25 percent of their time on project administration, with employees and read-only users saving 5 percent. “Each customer we talked to wanted the solution right away,” says Schlereth. “We’ve never had an internal project that had so much demand.”

Furthermore, using the AI tool, end users can view results directly from Can Do’s software. Previously, compiled reports would be delivered through spreadsheets. This has raised the value of the product for business decision-makers. “Integrating this solution into our product demonstrations consistently amazes prospects,” says Ariane Becker, customer care and sales representative at Can Do. “They experience firsthand how quickly and intuitively complex project requirements are visualized. The feedback from potential customers is, ‘This is exactly the solution we need!’”

Innovating with More Features

Using AWS, Can Do has enhanced and sped up insights for its customers at all business levels. Next, Can Do will continue optimizing its solution by incorporating large language models trained on structured data from its system, empowering users to submit queries about project portfolios, resource usage, and AI-driven risk analyses in natural language.

“On AWS, we have the same tools as much larger companies to innovate and expand worldwide,” says Schlereth.