The use of technology to perform tasks with minimal human intervention, reducing manual effort and improving consistency.
Productivity
In our reference library
Automation uses technology to perform tasks with minimal human intervention, removing repetitive manual work, reducing errors, and enforcing consistency across processes. It ranges from simple rules such as auto-assigning tickets, to workflow orchestration across systems and AI-assisted decision support. Automation decisions reward identifying the right targets: high-volume, rule-bound, error-prone tasks deliver the strongest returns, while judgment-heavy work resists automation. Buyers should evaluate automation depth by testing real scenarios during trials, because feature counts rarely reflect whether an organization's specific flows are supported. Governance matters as automation scales: review processes, audit trails, and failure handling prevent automated mistakes from multiplying at speed. Automation also changes staffing patterns, so stakeholder planning should address training and role shifts. The strongest implementations follow a staged path, automating proven processes first and expanding only where results are measurable.