Platform / Test Automation
Your manual test scripts are now your automation.
Write tests in plain English — or bring the manual scripts you already have. AI reads each step, sees the page like a tester, and acts. No automation code. No selectors. Nothing to maintain.
If developers coordinate AI agents instead of hand-coding every behavior, why should testers still hand-code every validation?
- Write automation scripts
- Repair selectors and locators
- Maintain brittle frameworks
- Spend your time fixing tests
- Write tests in plain English
- Let AI execute and recover
- Validate outcomes by vision
- Keep a full decision record
of web test breakages are caused by element locators.
of elements go unfound by absolute XPath locators once the page changes.
AI tools pass Monday and fail Tuesday — with no app change.
Breakage causes: Hammoudi, Rothermel & Tonella, “Why do Record/Replay Tests of Web Applications Break?”, ICST 2016 — 300 application versions, 722 breakages. Locator robustness: Nass, Alégroth, Feldt, Leotta & Ricca, ACM TOSEM 32(3), 2023. Spec2RunAI holds no hard-coded selectors, so there is nothing in the script for a page change to break.
Ten layers of resilience for tests that refuse to break.
Every step runs an escalation chain. When one layer can't act, the next takes over — and the result is verified before anything is marked complete.
AI selector generation
Selectors built at runtime from the live page, not hard-coded.
Semantic validation
Confirms the element matches the step's intent before every click.
Fallback escalation
Up to three AI alternatives, each semantically validated.
Coordinate vision
Sees the element visually when selectors fail entirely.
DOM resolution
Maps the visual hit to the real clickable element.
Nearby semantic search
A keyword-ranked search finds the right target in the region.
Compound step decomposition
Splits multi-action instructions into atomic operations.
Post-action verification
AI vision confirms the expected outcome after each step.
Adaptive overlay handling
Popups and consent banners stop blocking runs.
Ambiguity + rewrite
Flags vague steps and suggests clearer wording.
Above the chain sit two more layers: selector memory makes proven runs deterministic, and self-healing turns failures into one-click fixes.
Four capabilities that work as one.
The advantage isn't any single feature — it's how they reinforce each other on every run.
Selector memory
Proven runs replay deterministically in about two seconds and cut AI cost 60–80%. Every cached click is re-validated against the step's intent before it executes.
Self-healing with integrity
Heals how a step runs, never what it asserts. Fixes are proposed for one-click approval, so a genuine application defect still fails — on record, with the attempt documented.
Automated failure triage
Every failure arrives pre-classified — application defect, test defect, environment, or data — with evidence, so review starts at the diagnosis instead of the logs.
Autonomous Explorer
Point it at a URL with a budget and guardrails; it probes paths nobody scripted and converts each finding into a runnable regression test.
How a run executes.
One agent per test case, isolated, at the concurrency of the suite. That part is how every serious platform runs now. What’s inside the worker is the part that isn’t.
Tested at 3,000 concurrent test cases in a single cloud run. Illustrative counts; the shape is the point.
One agent per test case
Each test case runs in its own AWS Lambda with its own browser inside it. Nothing is shared between tests — no session, no state, no data — so a test cannot fail because of what another test did. The suite runs at the concurrency of the suite and finishes when the longest test finishes.
There is no script in the worker
The agent reads the test case as the tester wrote it, resolves each step against the live page, infers expected results where none were written, and records every decision. First run interprets. Proven steps replay from selector memory afterward without a model call — deterministic where it’s earned, interpreted where it’s needed.
A failure arrives with its reason
Not a red result. The agent’s reasoning — the element it could not resolve, the check that did not hold, the alternatives it tried — and the audit trail of exactly why. The failure is diagnosable from the record alone, before anyone opens the application.
Cloud for concurrency. Local agent for reach.
Long-running tests and applications that live behind your firewall run on a local agent — the same executor, installed inside your network, no public endpoint required. Short, wide regression suites go to the cloud. Most enterprise suites use both.
No grid to provision or maintain. Concurrency is inside the engagement price — which is why the ROI calculator lists grid and infrastructure as a cost of scripted automation and not of this.
The AI Decision Inspector shows what the AI saw, what it chose, the alternatives it considered, and whether the step came from a fresh decision or a cached recipe — including every healing rewrite, shown side by side with the original. Enterprise AI adoption requires trust, and trust requires transparency.
Nine levels separate a script runner from an intelligent platform.
Most tools stall between levels 1 and 3. These are the capabilities Spec2RunAI, the test executor inside Spec2TestAI, brings to every run — which does your current tool deliver today?
Behind-firewall agent
Outbound HTTPS only — no inbound ports, no VPN, no IT tickets.
Cloud parallel fan-out
50 test cases finish in the wall-clock time of one.
Shadow DOM & enterprise UIs
Salesforce, Guidewire, SAP, and Oracle front-ends traversed automatically. See enterprise app support →
CI/CD pipeline ready
GitHub Actions, Jenkins, and Azure DevOps via dedicated API keys.
Choose your AI provider
OpenAI, Azure OpenAI in your tenant, or AWS Bedrock.
Regression & stability scoring
Every run categorized; flaky cases flagged automatically.
What does scripted automation really cost over three years?
Framework build, engineer salaries, maintenance, flake triage, grid infrastructure — then compare it against paying only for the runs you execute. Every assumption is editable and sourced.
Salesforce. Guidewire. The systems that break other automation tools.
Packaged enterprise applications are where scripted automation usually collapses — custom controls, nested frames, and vendor releases every quarter that shatter selector-bound suites. There's nothing to install and no object library to build: our executor is tuned to recognize and drive these interfaces, so your team writes plain English and the engine handles the rest.
Because the executor isn't built on per-application object libraries, the same plain-English approach carries across enterprise interfaces — including ones not listed here. And your existing manual test cases run as written: no required keywords, no reformatting into anyone's command syntax. See how we test enterprise applications → · How we compare to other tools →
Bring your hardest application.
Break a test on purpose — then watch the platform diagnose it, heal it, and hand you the fix in one click.
Request a demo →