From unscalable frontend tests to robust E2E coverage: How Pocus validates every deployment with Momentic
Discover how this AI sales intelligence platform partnered with Momentic to replace brittle Playwright tests with reliable, intent-based validations that scale alongside development velocity.
Discover how this AI sales intelligence platform partnered with Momentic to replace brittle Playwright tests with reliable, intent-based validations that scale alongside development velocity.
Momentic gives our engineers the power to describe the outcomes they want to verify in human terms, instead of wiring tests to fragile machine logic. That level of flexibility filled a major testing gap at Pocus.
Pocus (acquired by Apollo.io) helps modern GTM teams hit their revenue goals, create repeatability, and future-proof their motion with the help of data, AI, and automation. Established in 2021, Pocus is trusted by leading organizations like Monday.com, Canva, and LaunchDarkly to generate over 70% of their pipeline and save reps 10+ hours every week.
Challenge
Reliable validation became increasingly difficult as Pocus’ product evolved
As Head of Engineering at Pocus, Aniruddha Laud leads a lean but agile team responsible for maintaining and evolving the company’s AI sales intelligence platform. With revenue teams across dozens of industry-leading enterprises relying on the platform daily, even minor disruptions across core flows can directly impact deal prioritization, signal identification, and outbound pipeline. Naturally, Aniruddha leans on continuous testing to ensure these revenue-generating flows remain airtight during each release.
The problem? While Aniruddha’s team had a robust backend testing foundation in place, they were executing frontend tests entirely through Playwright, which struggled to keep pace with the platform’s continuous UI changes. Routine frontend updates caused locators to become outdated, leading to test failures even when user flows remained intact. Engineers would then have to investigate whether a failure indicated an actual issue or simply an outdated script. Over time, this flakiness reduced confidence in the Playwright test suite.
As failures became harder to interpret, maintenance began to feel more like overhead than protection. Aniruddha knew that without scalable and consistent validation across real user flows, regressions that should have been caught earlier would slowly begin to surface in production. Rather than trying to salvage Playwright, he began searching for a new testing platform that could restore engineering confidence without introducing the brittleness the team had experienced previously.
Fortunately, he didn’t have to search for long. After discovering Momentic through trusted colleagues within his network, Aniruddha immediately knew it was time to make the shift.
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Solution
Transforming testing from a bottleneck to a force multiplier with Momentic
Getting started with Momentic was a swift and collaborative process. Aniruddha worked directly with Momentic to familiarize his team with the platform, experiment with CI integration, and field any questions before their official rollout.
Within a month, the team had deployed end-to-end tests covering core user flows without increasing technical overhead. “Having direct access to the Momentic team has been very helpful,” Aniruddha shares. “They’re super supportive, quick to answer questions, and always open to feedback.”
Rather than wiring automation to static DOM selectors as they did in Playwright, Aniruddha’s team describes the exact flow they want to verify in natural language, and Momentic executes the test based on that intent. “We can define very specific actions with Momentic, like opening your list of accounts or playbooks from our dashboard,” Aniruddha shares.
Because Momentic dynamically evaluates the rendered page and identifies elements based on context, tests remain stable even when the frontend is refactored or components are updated during normal development. Now, Aniruddha’s team knows that any failed tests represent true regressions rather than noise.
Within months, Momentic has become a core element of Pocus’ CI workflow, validating critical user flows before every production deployment. By embedding automated end-to-end validation directly into the release process, Aniruddha’s team can verify that key functionality continues to behave as expected with each new release.
“Momentic helps us validate real product behavior without relying on the narrow, machine-based workflows we had before. Now we focus only on real regressions rather than sifting through flakes.”
Results
More reliable tests, broader coverage, and validation on every deployment
Partnering with Momentic enabled Pocus to eliminate Playwright flakiness, accelerate end-to-end coverage, and leverage automated validation across every production deployment.
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Looking ahead, Aniruddha is excited to further explore Momentic's CI/CD integrations as Pocus scales.
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Ship faster. Test smarter.
“We needed a way to own testing in-house without allocating too much engineering time toward addressing flakes. Momentic gave us that perfect blend of ownership, reliability, and flexibility.”
“Momentic enables us to catch regressions early and significantly reduce the risk of bugs reaching production. They’ve been an invaluable partner since day one.”
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