Workday Launches HR AI Platform for Federal Agencies

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Workday's PAR Agent is designed to simplify HR for federal agencies (Credit: Getty)
Workday's Personnel Action Request Agent is designed to improve decision accuracy and reduce PAR cycle times as US Government Ramps up Recruitment

Workday has announced an AI platform designed specifically for managing critical HR functions in federal agencies. 

This new Personnel Action Request (PAR) Agent, Workday says, can reduce PAR cycle times by up to 60% and improve decision accuracy, which it says can keep missions “moving forward” and deliver more value for US taxpayers. 

“Federal HR leaders are under pressure to fill critical roles, retain top talent and ensure every personnel action supports mission readiness – yet they are often constrained by legacy, paper‑based processes,” says Lynn Martin, General Manager of Workday Government. 

“With our PAR Agent, we are helping agencies move beyond manual PAR processing to an integrated, AI‑enabled model that improves accuracy, accelerates cycle times and gives leaders the real‑time visibility they need to manage their workforce more effectively.”

Lynn Martin, General Manager of Workday Government

Standardising PAR input

PARs span agency hires, promotions, reassignments, pay changes and separations – but the process in many federal HR teams can be prone to human error and often still run on disconnect systems. 

According to Workday, it can take teams an average of 22 to 45 days for routine actions like pay changes to be implemented, and an additional 80 to 120 days for hiring and recruitment. This can lead to delayed hiring, increased costs and stunted mission delivery. 

To combat this, Workday’s PAR agent automates workflows and standardises inputs, which the company says cuts average timelines for routine actions down to 9-18 days. 

For a high volume agency, the impact of this agent could be significant. A government agency with 10,000 employees that processes around 5,000 PARs monthly, Workday suggests, could save more than 64,000 internal labour hours and $3.56 million annually, allowing resources to better steward public funds and deliver more taxpayer value.

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Building up government talent pipelines

This new tool follows a significant drive to build up a talent pipeline for the US Government. In late March, the Office of Personnel Management launched an initiative in partnership with the White House to improve efficiency in government hiring. 

Called the Early Career Talent Network, the initiative allows prospective talent to express an interest in roles across multiple government agencies, providing those agencies with a pipeline of qualified talent.

Scott Kupor, Director of OPM

Scott Kupor, Director of OPM, said of the initiative: “Building a strong pipeline of early-career talent is essential to the future of the federal workforce. 

“We are making it easier for talented individuals to connect with meaningful careers in public service while helping agencies efficiently identify the talent they need to deliver results for the American people.”

The need for this qualified talent in federal agencies has increased after widespread US Government job cuts. Around 300,000 US federal civil service layoffs have been announced since the start of the second Trump administration – many of which were led by the Department of Government Efficiency.

But as many employees in the US Government close in on retirement age, federal agencies are looking to build up their talent pipelines. 

Scott tells Fortune: “We’ve got close to half of our population that’s within 10 years of retirement age.

“So if you just did nothing else, you’ve got this major demographic challenge of a large number of people who will likely either retire or certainly be retirement-eligible over the near term, without us actually replenishing the pipeline of early-career people coming in.”

A similar initiative designed especially for NASA – called NASA Force – was launched earlier in 2026, following an estimated headcount reduction of 4,000 employees within NASA. 

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