- Accenture Federal Services has assigned forward deployed engineers to work alongside agency teams
- Prebuilt HR, finance and supply chain agents will help agencies get started faster
- The 2026 FedCiv Summit will explore AI adoption, federal shared services and more
Accenture Federal Services and Google Public Sector have rolled out Gemini launchpads to help federal agencies rapidly transition artificial intelligence agents from experimentation to mission operations.

Embedding engineers within agency teams is one approach industry is taking to help federal civilian organizations put AI agents into daily use. The Potomac Officers Club’s 2026 FedCiv Summit on Oct. 29 will bring together government and industry leaders to discuss AI adoption, federal shared services, the General Services Administration’s OneGov strategy, AI-driven IT modernization and more. Save your seat now to hear from the officials shaping federal civilian technology.
How Will the Gemini Launchpads Support Federal Agencies?
The initiative aims to give agencies access to a central team of forward deployed engineers, or FDEs, who will work with agency staff to build Gemini-based agents that connect to government systems of record and handle complex workflows, Accenture Federal Services said.
The launchpads will allow agencies to manage agent efforts from one place, including connecting Gemini to mission data, prioritizing use cases, deploying agents and training employees. Agency leaders will have a single view to monitor agent performance and mission results.
An initial group of Google Cloud-skilled FDEs is being trained as part of Accenture’s plan to build a 1,000-member FDE workforce. The two companies are developing prebuilt agents for finance, human resources and supply chain functions.
Agencies can take part in agent-building workshops hosted by both companies at The Forge in Washington, D.C. The site houses The Prototyping Lab, where agency leaders can view agent demonstrations and identify use cases and next steps.
What Did Accenture Federal Services’ & Google Public Sector’s CEOs Say About the Initiative?
Ron Ash, CEO of Accenture Federal Services and a two-time Wash100 awardee, said placing the company’s engineers inside agency teams allows both sides to work together on clients’ most pressing challenges.
“The real opportunity to scale value for our clients is deploying these purpose-built agents to transform work at the heart of government operations,” Ash added.
Karen Dahut, CEO of Google Public Sector, noted that the collaboration combines Gemini and secure cloud infrastructure with Accenture Federal Services’ experience in the federal market.
“Federal agencies stand at the threshold of the agentic era, where success is measured not merely by technology adopted, but by mission outcomes delivered,” said Dahut, a four-time Wash100 awardee. “This collaboration further moves governments beyond incremental modernization—equipping public servants with intelligent capabilities to navigate complex systems, accelerate critical decisions, and deliver at the speed of mission.”
What Other AI Efforts Have the Two Companies Pursued?
Before the Gemini launchpads rollout, Google Public Sector launched Agent Designer, a no- or low-code tool within Gemini for Government on the GenAI.mil platform that allows Department of War personnel to build AI agents for unclassified work tasks. The company has also partnered with SAIC to deploy AI capabilities in enterprise and tactical environments using Google Distributed Cloud infrastructure.
In September, Google Public Sector received a potential $876 million contract from the Department of Homeland Security to provide commercial cloud services across the department under its Cumulus program.
On the Accenture Federal Services side, the company named Garrett Berntsen chief AI officer in January. In May, the company partnered with OpenAI to help agencies move AI initiatives from experimentation to production-ready deployment, a collaboration that includes an agentic lab at The Forge.
In July, Accenture Federal Services won a potential five-year, $821 million task order to provide core integration work for the War Data Platform, which enables standardized data for agentic AI applications across DOW.


