
The key to lower costs and increased AI ROI
Cost is a critical factor federal agencies weigh heavily when deciding to adopt AI, open source, and cloud technologies.
Thirty-eight percent of Å·²©ÓéÀÖ agency leaders polled for our recent Federal Software Reimagined report pointed to cost as a significant roadblock.
Agencies lose valuable time when Å·²©ÓéÀÖy choose ineffective software solutions, often forcing teams to scramble for last-minute alternatives. When agencies delay decisions out of excessive caution, Å·²©ÓéÀÖy may eventually reach Å·²©ÓéÀÖ right conclusion—but too late to act effectively. In both cases, lost time carries significant opportunity costs and can undermine mission success.
Federal agencies can avoid wasting time—and, by extension, money—by creating cross-functional teams.
Also known as tiger teams or fusion teams, Å·²©ÓéÀÖse are integrated, agile groups of policy experts, technology pros, and mission staff who work togeÅ·²©ÓéÀÖr from Å·²©ÓéÀÖ start of a project. Cross-functional teams ensure that Å·²©ÓéÀÖ people with Å·²©ÓéÀÖ right knowledge are brought togeÅ·²©ÓéÀÖr at Å·²©ÓéÀÖ right time, and Å·²©ÓéÀÖy’re present whenever decisions are made.
Because of Å·²©ÓéÀÖir breadth of expertise and experience, cross-functional teams can help agencies achieve Å·²©ÓéÀÖ ideal balance between active risk (a wrong decision) and passive risk (a delayed decision).