What teams stop doing by hand with Web & Mobile Automation Platform

The problem

Every release needs the same checks clicked through again on several browsers and phones. Scripted suites take weeks to build and break whenever a button moves.

How it runs

1. Design the flows visually, record them by clicking through once, or let the AI draft them from a description.
2. Schedule them nightly, or chain them into a journey: sign up → order → pay → cancel.
3. Each run executes on your Selenium Grid and Appium devices and records the result of every step.

What you gain

• Testers build and maintain the suite; no framework to own.
• Broken locators are diagnosed and a repair is proposed — fixing a suite takes minutes, not a sprint.
• The same flows run on Chrome, Edge and Android without being rewritten.

The problem

Load tools replay HTTP and miss what the user actually waits for; writing a realistic load script is its own project.

How it runs

1. Reuse a functional workflow as the scenario — no separate script.
2. Shape the load: ramp up, hold, spike, or a target arrival rate; set the pass/fail thresholds.
3. Watch response times, errors and dropped iterations live; stop at the breaking point.

What you gain

• Know how many users the release can take before customers find out.
• Every setting works with real browsers and phones, so the numbers include rendering, not only the server.
• Runs obey your plan’s limits, so a test cannot turn into an accidental attack or a surprise bill.

The problem

A page can load perfectly and still show the wrong total. Checking the numbers by hand is slow and misses edge cases.

How it runs

1. The workflow reads the values off the screen: prices, totals, dates, statuses.
2. A business-rule template is attached to the workflow and evaluated automatically after every run.
3. Rules compare, compute and cross-check — across steps, pages and earlier runs.

What you gain

• Catches calculation and policy errors, not only broken pages.
• Rule templates are reused across projects and environments.
• Each verdict says which rule failed and on which value.

The problem

Deployments go out before anyone clicks through the main paths.

How it runs

1. After a deploy, the pipeline starts a job with a scoped API key.
2. The smoke flows and their rules run against the new build.
3. The pipeline reads the result and stops the rollout on a failure.

What you gain

• Every release is checked the same way.
• The key can only run what it was given — least privilege.

The problem

Prices move across several sources during the day; watching them and applying the same rules by hand is tiring and inconsistent.

How it runs

1. Collect buy/sell prices from the sources you are allowed to read, every few minutes.
2. Apply your rules: spread above a threshold, price crossing its average, a gap between two markets.
3. Receive a signal with the numbers behind it, and keep a log of every signal for review.

What you gain

• The same rules applied every time — no missed moves, no emotional exceptions.
• A history to test and refine the rules against.
• Alerts arrive where the team already works.

The problem

Competitors change prices and promotions daily; finding out a week later costs sales.

How it runs

1. Collect prices and promotion text from the public pages you track.
2. Rules flag undercuts, new promotions and out-of-stock items.
3. A daily report shows what changed since yesterday.

What you gain

• React the same day.
• A price history per product, per competitor.

The problem

The order in the shop, the invoice in accounting and the shipment in the warehouse should match. Checking them means exporting and comparing spreadsheets.

How it runs

1. A journey reads the same records from each system’s screens.
2. Rules compare them row by row: amount, status, date.
3. Mismatches are listed with both values side by side.

What you gain

• Errors found in hours instead of at month end.
• No integration project needed — it reads what people read.

The problem

A broken landing page, an expired promo code or a wrong price keeps spending the ad budget until someone notices.

How it runs

1. Every hour, open each campaign’s landing pages on desktop and mobile.
2. Check the page loads, the promo code is accepted, the price is right, the tracking tag is present.
3. Alert the owner the moment one fails.

What you gain

• Stop paying for clicks to a broken page.
• A record of every check: what was opened, what was found, when.

The problem

Spend and results sit in different dashboards; someone copies them into a spreadsheet every morning.

How it runs

1. A journey signs in with the accounts you set up and reads yesterday’s figures from each dashboard.
2. Rules flag overspend, a drop in results, or a campaign that stopped delivering.
3. The combined table is ready before the team starts work.

What you gain

• Hours saved every morning.
• Problems flagged the same day, not at month end.

The problem

Invoices from supplier portals, declarations on government sites, statuses from carriers — each needs a person to sign in and click.

How it runs

1. Build one workflow per portal and join them into a scheduled journey.
2. Values come from parameters, so one workflow serves every supplier or branch.
3. The data read from every portal lands in one place.

What you gain

• Staff time moves to exceptions instead of routine.
• Every run is logged: what was entered, where, and when.

The problem

Store releases and backend changes break app flows that nobody tests on a real phone until users complain.

How it runs

1. Run the main app flows on your own devices through Appium.
2. Rules check the numbers shown in the app.
3. Results per device and OS version.

What you gain

• Real devices, not only emulators.
• The same workflow tool as the web.

The problem

Uptime checks say the server answers; they do not say a customer can sign in and pay.

How it runs

1. Every few minutes, a workflow signs in, searches and reaches the payment page.
2. Timings are recorded per step.
3. The on-call person is alerted on the first failure.

What you gain

• Find out before customers do.
• Know which step got slow.

The problem

Auditors ask what the consent banner or the terms page showed on a given date.

How it runs

1. A scheduled workflow opens the pages and reads what is shown.
2. Rules check the required text and options are present.
3. The history is kept with the audit trail.

What you gain

• Proof on demand for any date.
• A missing notice is noticed the same day.