Key user journeys
Sign-up, log-in, search, cart, checkout — we verify the critical flows work end to end, on every run.
Services
AI Product Testing — an AI Agent That Never Skips a Bug
If bugs keep slipping into your product and your team keeps missing them, our AI agent tests your product regularly and without gaps — it runs the full set of scenarios every time, catches what a tired human eye lets through, and reports each defect with a screenshot and clear steps to reproduce.
9+Years in business
80+Senior engineers on staff
120+Projects delivered
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GDPR-aligned · ISO 27001 ready · SOC 2 Type II in progress · HIPAA-capable · CCPA-acknowledged · CET workday with 9 AM–1 PM ET overlap
Manual QA runs into a hard limit: the human. People get tired, their eye glazes over, they check the happy path and skip the rest. An AI testing agent removes exactly that limit. We connect it to your website, app or service, and it runs your test scenarios on a schedule — key user journeys, forms and payments, visual regressions, broken links, console and network errors, and dropped integrations. Every run is a report with screenshots, reproduction steps and priorities — not a vague 'something looks broken'. The agent never tires, never gets distracted, and checks everything the same way every single time.
What the AI agent checks
We tune the scenario set to your product. These are the checks teams most often start with.
Forms & payments
Lead submissions, field validation, payment capture and delivery into your CRM — so leads and money never disappear silently.
Visual regressions
Shifted layouts, overlaps, missing blocks. We compare screenshots against a baseline and flag pixel-level differences.
Broken links & 404s
We crawl pages and transitions and catch dead links, broken images and stale redirects — including after a content edit.
Console & network errors
JS exceptions, failed requests, 4xx/5xx responses, third-party scripts and integrations that quietly fell over.
Cross-browser & mobile
Behaviour across browsers and screen sizes: mobile overflow, tap targets, menus and forms working on a phone.
Why an AI agent catches what people miss
Manual testing depends on a person: tired, desensitised, ran out of time. The agent removes exactly those limits — and does it on a schedule.
No gaps, on a schedule
The agent runs the whole scenario set in full every time — daily, weekly or on demand. It never 'checked the main thing and forgot the rest': equal attention to every step, on every run.
Every bug comes with proof
Each report has a screenshot, steps to reproduce, expected vs actual result and a priority. Developers don't have to guess what was meant — the defect is ready to pick up.
Catches regressions before release
A new feature often breaks an old one. The agent compares behaviour and appearance against a baseline and highlights what changed unexpectedly — before your users see it.
Amplifies your team, doesn't replace it
The agent takes the routine regression off your plate so your testers and developers focus on complex scenarios and new functionality. Fewer hotfixes in production.
Where scheduled AI testing pays off most
Any product with real users benefits, but the cost of a missed bug is highest in these spaces. That's where an agent that re-checks everything on a schedule earns its keep.
SaaS & subscription products
Frequent releases mean frequent regressions. Sign-up, billing, plan upgrades and in-app permissions break quietly after a deploy — the agent re-verifies each critical path every night so a broken checkout doesn't sit live over a weekend.
Fintech & payments
A failed payment or a misreported balance is a direct financial and trust hit. We run sandboxed payment flows, statement rendering and transfer journeys on a schedule, with read-only actions so tests never charge a card or move real money.
E-commerce & retail
Add-to-cart, promo codes, shipping calculation and payment capture are the revenue line. Catalog and content edits break them constantly. The agent watches the funnel end to end and flags a dropped step before it costs you conversions.
HealthTech & regulated products
Booking, patient portals and forms carry compliance weight — a broken flow is more than an inconvenience. Repeatable, evidenced test runs give you an audit trail of exactly what was checked, when, and what it produced.
Marketplaces & platforms
Two-sided flows multiply the ways things break: buyer and seller journeys, listings, search, messaging and payouts. The agent exercises both sides on every run instead of the one path a tester had time for.
Media & high-traffic sites
High publishing velocity means broken links, dead images, layout shifts and failed third-party scripts slip in daily. We crawl pages and transitions after each content push and catch the breakage the CMS preview didn't.
AI testing, traditional automation and manual QA — where each fits
The AI agent isn't a silver bullet that replaces everything. It's the layer that covers the repetitive, always-on regression most teams skimp on. Here's an honest read on when to reach for each.
Reach for AI testing when…
You ship often, your critical paths are stable, and nobody has time to re-run the full regression by hand every release. The agent runs the whole scenario set on a schedule, adapts when the UI shifts, and reports each defect with proof — no brittle scripts to babysit.
Keep traditional automation when…
You already have a mature Selenium/Playwright suite wired into CI for deterministic unit and API-level checks. That still has its place. The AI agent sits on top for broad end-to-end coverage and visual regression rather than replacing your existing pipeline.
Add manual QA when…
You're testing brand-new features, nuanced UX, exploratory edge cases or accessibility judgement calls. Humans are irreplaceable here. The agent frees your testers from repetitive regression so they spend their time exactly where judgement matters.
How AI product testing runs
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01
Product review
We take apart your product for free, map the critical user journeys and agree the scenario set worth checking first — and how often to run it.
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02
Initial setup
We build and wire up the test scenarios for your product, connect to staging or production and set up reporting. Scoped and quoted separately, once.
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03
Scheduled runs
The agent runs your scenarios on the chosen cadence — daily, weekly, monthly or on demand — and delivers a report with screenshots and priorities each time.
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04
Escalation & upkeep
Critical breakages are escalated immediately; we keep the scenario set in sync as your product grows so coverage never goes stale.
AI product testing plans
The plan depends on how often your product needs checking. Initial setup is a one-off, scoped to your product and quoted separately. Below are the recurring monthly fees for regular runs.
Daily testing
$4,800/mo
Every day
For active products with frequent releases
- Full scenario set, every day
- Report with screenshots on every run
- Instant escalation of critical bugs
- A check after every release
- Scenarios updated as you grow
Weekly testing
$2,400/mo
Once a week
Regular quality control once a week
- Full scenario set, weekly
- Report with screenshots and priorities
- Escalation of critical breakages
- Regression control between releases
- Ongoing upkeep of the test set
Monthly / one-off
$1,200/mo
Monthly or on demand
A periodic quality audit of your product
- Full scenario run once a month
- Consolidated defect report
- A check before a major release
- Prioritisation of found bugs
- One-off run on request
Micro-products & small sites
$600/mo
Monthly / one-off
A lighter run for landing pages and micro-services
- Core set of checks
- Key journeys, forms and links
- Report with the defects found
- For brochure sites and small services
- Best entry price
All plans are a recurring monthly fee for regular runs. Initial setup is scoped and quoted separately after we review your product, and depends on the number of scenarios and the complexity of integrations. USD pricing shown is indicative and confirmed in your proposal.
What clients say
A regression that used to eat two QA days now runs overnight and lands as a report by 9am. We catch the broken checkout before a customer does, not after the weekend.
We ship dozens of changes a week. The agent quietly re-checks every critical path each night and flags exactly what moved — with a screenshot. It pays for itself the first time it catches a payment bug.
Frequently asked questions
Is this a replacement for our QA team?
No — it's a force multiplier. The agent takes the repetitive regression off your team's plate so testers and developers focus on complex scenarios and new features. It runs the same checks the same way every time, which is exactly where human attention drifts.
What do you need to get started?
Access to a staging or production environment and a short review call. We map the critical user journeys, agree the scenario set to check first and the cadence, then scope the one-off initial setup. The first product review is free.
How is the initial setup priced?
Separately from the monthly plan. Setup is a one-off engagement — building and wiring up the scenarios, connecting environments and reporting — scoped to your product. The number of scenarios and the complexity of your integrations move the number; you sign off on the budget before any work starts.
Which environments can the agent test?
Web apps, mobile web and services with a reachable UI or API. We typically run against staging on every release and against production on a schedule, with read-only or sandboxed actions so tests never charge a card or send real email.
How do we receive the results?
Every run produces a report with screenshots, reproduction steps, expected-vs-actual and a priority per defect. Critical breakages are escalated immediately through the channel you choose; the rest lands as a consolidated report you can hand straight to development.
How is this different from traditional test automation like Selenium or Playwright?
Classic automation runs fixed scripts that break the moment a selector or layout changes — so someone has to maintain them constantly. The AI agent works from your critical user journeys rather than brittle selectors, adapts when the UI shifts, and reasons about whether a screen looks and behaves right. If you already have a mature Selenium/Playwright suite, the agent complements it for broad end-to-end and visual coverage rather than replacing it.
Can the agent test behind a login or in authenticated areas?
Yes. We set it up with test credentials or a dedicated test account, and it runs the authenticated journeys — dashboards, account settings, checkout, admin panels. For production runs we use read-only or sandboxed actions so nothing charges a card, sends a real email or mutates live customer data.
Does it test native mobile apps or only web?
Web apps and mobile web are the sweet spot — anything with a reachable UI or API. Native iOS/Android apps are supported case by case depending on how the app is built and instrumented; we confirm exactly what's coverable during the free product review before you commit to a plan.
How do you avoid false positives and flaky tests?
Flaky results erode trust fast, so we tune for signal. The agent retries transient failures, distinguishes a real defect from a slow network or a one-off timeout, and compares visual differences against a baseline with tolerance for expected change. During setup we calibrate against your product so the reports you get are actionable, not noise.
Can it integrate with our CI/CD, Jira or Slack?
Yes. Runs can be triggered on your release pipeline, and results delivered where your team already works — a Slack or Teams channel for escalations, tickets opened straight in Jira or Linear, or a consolidated report by email. We agree the delivery channels during setup.
Who owns the test scenarios if we stop the subscription?
You do. The scenarios and configuration built during setup are yours — you paid to have them created. If you pause or stop the monthly plan, you keep the scenario set and the reporting history; there's no lock-in that holds your test coverage hostage.
How quickly can we go live after setup?
For a typical web product, the first scheduled runs start within days to a couple of weeks after the initial setup — the timeline depends on how many scenarios you want covered and how complex your integrations are. We usually begin with the highest-value journeys so you get coverage on the critical paths first, then expand.
Tired of bugs reaching your users first? Let's put an AI agent on it.
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