Lendi Group runs project through agentic SDLC

Lendi Group ran its first project through an "agentic software development lifecycle (SDLC)," iTnews reported. The fintech used Atlassian's in-production Teamwork Graph unified data layer as a key enabler, and Head of productivity and automation Matthew Hargreaves told Atlassian's Team '26 conference that the revamped SDLC has been under development since July last year, iTnews reported. According to iTnews, Lendi records meetings with Loom for transcription, converts transcriptions into idea briefs and PRDs in Confluence, then uses an agent to turn briefs into Jira epics; the company also uses AI coding tool Cursor within the agentic flow, iTnews reported. iTnews additionally noted the timing aligns with a stated commitment by Lendi to become AI-native across operations.
What happened
Lendi Group ran its first project through an "agentic software development lifecycle (SDLC)," iTnews reported. Per iTnews, the company is using Atlassian's in-production Teamwork Graph unified data layer as a central enabler for that flow. Head of productivity and automation Matthew Hargreaves, speaking at Atlassian's Team '26 conference, described a process where meetings are recorded with Loom, transcriptions are converted into idea briefs and product requirements in Confluence, and an agent converts those briefs into Jira epics, iTnews reported. Hargreaves is quoted saying the firm ran its "first piece of work through our full agentic SDLC" and that the result was destined for production deployment, iTnews reported. He also said the company is utilising AI coding tool Cursor within the agentic SDLC, iTnews reported.
Technical details
Editorial analysis - technical context: The reported pipeline replaces manual handoffs with automated transcription, brief generation, and agent-driven epic creation. Systems named in reporting, Teamwork Graph, Loom transcriptions, Confluence PRDs, Jira epics and Cursor, form an integrated toolchain pattern that other organisations are piloting to shorten requirements-to-code cycles.
Context and significance
Public coverage frames this as part of a broader trend where enterprises experiment with "agentic" workflows that combine data-layer integrations and purpose-built agents to automate coordination tasks. For practitioners, the key implication is increased emphasis on reliable event capture, structured brief generation, and guardrails around agent-produced artifacts.
What to watch
Observers should track production stability of the deployed feature, auditability of agent outputs, and how organisations validate PRDs and epics generated by agents before release. iTnews did not publish a separate statement from Lendi explaining rationale beyond Hargreaves' remarks.
Scoring Rationale
The story documents a concrete, production-directed pilot of an "agentic SDLC," which is notable for practitioners evaluating automation in delivery pipelines. It is not a broad platform launch or research breakthrough, so impact is moderate.
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