# How Upsales Replaced 320h of Manual Testing with Agents

> Upsales replaced 320+ hours of manual regression a month with QA.tech agents–keeping their sales CRM stable without scaling a dedicated manual QA team.

Source: https://qa.tech/case-studies/how-upsales-replaced-320h-of-manual-testing-with-agents · Published: 2026-03-27

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**Company Overview**

-   **Company:** Upsales.
-   **Industry:** SaaS / Sales & Marketing.
-   **Business Type:** CRM, marketing automation & sales platform for B2B.
-   **Size:** 150+ employees.
-   **Headquarters:** Sweden (Stockholm).

**Key Use Cases**

-   [CRM testing](https://qa.tech/use-cases/crm-testing).
-   [Automated regression testing](https://qa.tech/use-cases/automated-regression-testing).
-   [Daily smoke testing](https://qa.tech/use-cases/smoke-testing).
-   [End-to-end testing (70 user journeys)](https://qa.tech/use-cases/end-to-end-testing).
-   [SaaS application testing](https://qa.tech/use-cases/saas-testing).

**Dev & QA Setup**

-   **Dev team:** 20 devs.
-   **Test cases:** 70 user journeys.

**Before Automation**

-   The QA process was slow as it was all manual.
-   Bug reproduction required watching long videos created by users.
-   Smoke tests were manually triggered.

**After Automation**

-   Two full-time testers worth of time saved, every month.
-   Automated QA reduces time to deploy and covers edge cases.
-   Bug reproduction is now easy to handle.
-   [Daily smoke tests](https://qa.tech/use-cases/smoke-testing) are automated.

### The Problem: Manual Testing Wasn’t Covering Enough

[Upsales](https://www.upsales.com/) initially relied on manual QA, which was time-consuming and it often missed real user flows that led to failures. Their QA lead managed 2 Front-end QA engineers, but that wasn’t enough to test all the possible workflows.

Their team needed a way to quickly test common CRM usage scenarios without writing complex scripts. On top of it all, QA testers were watching videos of the reproduced bugs, which wasted hours of their time.

### The Solution: QA.tech and AI Agents

QA.tech’s AI agent was introduced to simulate and test real human interactions in the CRM system. It can easily [navigate through and use the CRM like a real user](https://qa.tech/use-cases/crm-testing), uncovering critical bugs without manual setup.

> “_Smoke tests in Beta now run every day instead of manually once a week_.”

This way, two crash-causing bugs were discovered by QA.tech. One of those was a mass mailing issue that didn’t reach any users.

### The Results: Downtime Prevention

The Upsales team now uses the QA agent to [continuously test high-traffic parts of the CRM](https://qa.tech/use-cases/automated-regression-testing), helping catch issues early. Their QA lead relies solely on QA.tech to support them in their daily operations.

> “_We have stopped at least one catastrophic release that was not caught by the manual QA process_.”

Instead of burdening the QA team with loads of videos, bug reproduction feature is used, which makes it easy to handle and create reproductions.

Overall, both the developers and QA team can now rely on the agent to handle repetitive test tasks, which enables them to focus on tasks that require human intervention.

> “We’re really impressed by the speed of development from the QA.tech team.”

‍

## Related reading

-   [How JOIN automated QA with AI agents](https://qa.tech/case-studies/how-join-automated-qa-with-ai-agents)
-   [Smartlinx replaced legacy QA processes with AI agents](https://qa.tech/case-studies/smartlinx-ai-qa-replacement)
-   [4C Strategies scales testing with AI automation](https://qa.tech/case-studies/4c-strategies-replaces-manual-testing-with-ai)