Lendi Group integrates AI into performance reviews

Per ITNews, Lendi Group will incorporate metrics on AI use into its annual staff performance reviews at the end of July, measuring items such as how effectively staff train and use AI agents. The article quotes Matthew Hargreaves, head of productivity and automation, speaking at Atlassian's Team '26 conference: "[When] we go into our annual reviews at the end of July, people are expected and will be reported on their AI usage, the agents working for them, their performance of [working with] the agents, not just them." ITNews reports the fintech committed to become operationally AI-native by June of this year. The coverage also documents operational uses, including agentic workflows that pick up Jira Service Management forms and compute parental leave terms.

Per ITNews, Hargreaves described agents enabling staff to push an idea "all the way through [an] agentic workflow and actually have that first line of code created," and named tools such as Magic Patterns as part of rapid prototyping. The article describes a flow where an employee files a Jira Service Management form, an agent actions the request, and outcomes such as parental leave calculations are returned faster than the prior manual process.

Editorial analysis: Companies adopting agentic workflows for business processes commonly face questions about governance, auditability, and training quality. Observers tracking such adoptions often note the need for reproducible transcripts, access controls, and versioning of prompts and agentic routines to support review and compliance.

Editorial analysis: Measuring employee AI usage in performance programs changes how teams instrument workflows. Organizations that surface agent transcripts and metrics typically invest in logging, prompt management, and evaluation criteria to make measurements meaningful and defensible.

• •Adoption signals: internal rollout pace, number of processes moved to agentic workflows (reported by the company or in follow-up coverage).
• •Governance indicators: logging standards, prompt libraries, and audit trails for agent decisions.
• •Employee impact: measures of productivity, error rates, and staff feedback reported internally or publicly.