We used the solution for automating authenticated workflows across third-party financial portals that do not expose reliable APIs. This included vendor onboarding, KYC/AML document retrieval, payment operations reconciliations, and back office data enrichment. These workflows were turned into production-grade automations that our product and operations teams can depend on.

We operate in an environment where many critical workflows still require interaction with legacy web UIs, often behind MFA, bot detection, and changing front ends. Anchor Browser allowed us to productionize browser-based automation without building and maintaining our own fleet of brittle headless scripts. The biggest impact was on reliability and engineering time. We moved from fragile Playwright jobs and constant break-fix issues to a setup where sessions, authentication state, scaling, and failure recovery are handled as infrastructure. This reduced incident noise and freed engineers to focus on product work instead of babysitting automations. We also improved turnaround times for operational workflows such as data pulls, confirmations, and document gathering, and made it feasible to automate longer multi-step tasks end-to-end.

The managed browser infrastructure at scale was invaluable as we did not want to run and patch our own browser farm. Anchor made it feel like an API. Authentication and session handling, with persistent sessions and re-authentication patterns, made authenticated automation less fragile. Reliability tooling provided better observability into failures, retries, and what changed when a flow breaks. Bot detection mitigation and realism, through headful, human-like execution patterns, helped in portals that aggressively block automation. The self-healing approach, when the UI changes, provided a materially better recovery story than traditional scripts.

I believe the solution could benefit from supporting even more types of legacy browsers.

I have used this solution for 14 months.

We started with in-house Playwright plus a couple of generic RPA-style approaches. They were fine for demos but became expensive to maintain in production. We made the switch when we needed higher reliability, scaling, and a more robust approach to authenticated portals and bot defenses, without turning browser automation into a dedicated platform team.

Price it against the fully loaded cost of building and operating this yourself, including infrastructure, on-call, break-fix churn, and missed SLAs, not against the cost of running a script. For us, the ROI was clear once the workflows became business-critical. Start small with one to two high-value workflows, measure success rate and time saved, then scale. Also, ask for pricing that aligns with your usage pattern, as concurrency and successful runs matter more than raw seat counts.

We looked at a few 'browser automation infrastructure' vendors and a couple of automation agent frameworks, and we also considered continuing in-house. Anchor stood out for production readiness for authenticated workflows, reliability, and the fact it felt built for engineering teams rather than being an RPA tool.

If your workflows touch regulated systems, treat browser automation like production software by versioning workflows, monitoring them, and setting expectations around authentication policy changes. Anchor works best when you invest a bit in defining 'golden paths' and instrumentation, then you can trust it for the long haul. Overall, this is the first time browser automation felt like reliable infrastructure rather than a pile of scripts.