# How Moneyfarm uses Harness

As published on [harness.io](https://www.harness.io/case-studies/measuring-what-features-create-customer-value-at-moneyfarm), August 2026. Captured by usedby on 2026-10-07.

- Company: [Moneyfarm](https://www.usedby.ai/companies/moneyfarm.md)
- Tool: [Harness](https://www.usedby.ai/tools/harness.md)
- Teams: Product, Engineering

## What the story says

Moneyfarm uses Harness's feature management and experimentation product (Split) to control feature releases with targeted and incremental rollouts, and to run A/B and multivariate tests that show which features create customer and business value. It replaced a homegrown feature toggle system and integrates with Jira and Segment.

Summary written by usedby from the source page, in English. The figures are those of Harness and Moneyfarm, not ours.

> Split's bidirectional integration with Jira, links feature flags directly with issues in Jira. From there, it's just one click for the team to get to related code commits and deployments across over 50 microservices and frontend repos in Moneyfarm's GitLab instance, saving teams hours of research and eliminating cognitive load.

> It really simplified our tasks, which were previously either entirely impossible or really expensive
>
> Stefano Guidici, Lead Product Manager at Moneyfarm

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of Moneyfarm.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Moneyfarm uses Harness. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/moneyfarm-harness · How we check: https://www.usedby.ai/methodology