ServiceNow's agentic HR and IT workflows show how end-to-end automation — not just task digitisation — can free public sector staff to focus on higher-value work at scale.

Repetitive Requests and Manual Coordination

Public-sector organizations face persistent capacity constraints driven by high volumes of repetitive requests, fragmented systems, and manual coordination across departments such as HR, IT, and finance. Employees and civil servants are affected through long response times, duplicated effort, and limited ability to focus on higher-value work. In HR and IT functions in particular, requests arrive through multiple channels and require manual handoffs, slowing service delivery and underutilizing skilled staff. Traditional automation has helped digitize individual steps, but has not resolved end-to-end workflow inefficiencies, leaving public organizations struggling to scale services efficiently or redeploy human capacity strategically.

How the Agentic Workflows Operate

ServiceNow deployed agentic AI workflows that manage complete HR and IT processes end to end, rather than automating isolated tasks. ServiceNow AI Agents use contextual understanding, goal-based reasoning, and real-time decision-making to execute multi-step workflows such as onboarding, access provisioning, incident resolution, and documentation. What makes the solution agentic is its ability to coordinate actions across systems and adapt based on policy and context to deliver defined outcomes. Human oversight and accountability are maintained through the ServiceNow AI Control Tower, which provides centralized governance, model lifecycle tracking, explainability, bias monitoring, audit trails, and alignment with regulatory frameworks such as GDPR and HIPAA.

Governance and Accountability

AI impact is measured through productivity value rather than experimentation alone. Using its AI value framework, outcomes are assessed based on usage, user acceptance, and productivity time value measured in total hours. Productivity gains are translated into time saved, requests avoided, and growth accelerated to quantify financial impact and provide clear insight into how AI is delivering business value. 

Impact 

Internally, ServiceNow has implemented more than 500 AI use cases across five personas, accelerating self-service and reducing human intervention for low-complexity requests. These deployments are driving an estimated $325 million in annualized value and have increased workplace productivity by 20%. In IT support, AI agents now automate 97% of software provisioning requests and have reduced service desk volume by nearly 40%.