Skip to main content Skip to docs navigation
Benchmark IT Solutions
Test Automation & Quality Engineering

AI at the core.
Quality by design.

A committed volume of automated tests, delivered every month — running in your own stack and CI. AI drafts at machine speed; a named human approves every one, and you own the suite.

Accelerated by FableRun, Benchmark's proprietary AI test automation framework

quality-engineering · dashboard live
Test coverage
92%
coverage trending up
Regression secured
Performance · P95
248ms
auth · login & MFA flow1.2s
payments · transfer limits2.0s
api · account balances0.6s
load · 5k concurrent usersrunning
The Challenge

The testing problems that stall every release.

Every sprint adds features; the manual re-test list only grows. Coverage slips, releases wait, and the green nobody trusts keeps letting defects through. Hiring your way out doesn't scale.

Regression outgrows the team

Every sprint adds features; the manual re-test list only grows. Coverage slips, or releases wait.

Releases wait on testing

Regression is the step that blows the release date — or lets a defect escape when it gets rushed.

Green nobody trusts

Flaky tests fail randomly; weak tests pass while the product is broken. The dashboard stops meaning anything.

Can't hire SDETs fast enough

Automation engineers are slow to hire and quick to leave. The backlog never shrinks.

How it works

You're buying an outcome — here's how it runs.

A committed volume of automated tests every month, running in your own stack and CI — with a human approving every one. No product to license, no seats, no headcount. Six steps, start to finish.

Step 01 · Intake

Bring the problem

A module, a backlog of cases, or a flaky suite to rescue.

  • Works from your Jira, Kiwi TCMS & Excel
  • Legacy or complex stacks welcome
  • No migration, nothing new to adopt
intake · your sourcesconnected
JiraKiwi TCMSExcel
300-case backlogto triage
Step 02 · AI Pass 1

AI drafts the cases

Pass 1: structured, prioritized test cases — into your own TCMS.

  • Functional, UI & API coverage
  • Prioritized by risk and impact
  • Edge cases a manual pass would miss
drafting · test casesgenerating
TC-118 · Login with MFAdrafted
TC-119 · Expired session redirectdrafted
TC-120 · Payment decline pathwriting…
Step 03 · Human authority

You approve

Reviewers accept or reject every case. Nothing runs unreviewed.

  • Accept or reject in your TCMS
  • Nothing runs unreviewed
  • Speed without surrendering control
review · in your TCMSawaiting sign-off
TC-118 · Login with MFAapproved ✓
TC-120 · Payment declineApproveReject
Step 04 · AI Pass 2

We automate & run

Pass 2 + code review; smoke per merge, full regression nightly.

  • Real page objects, real checks
  • Smoke on merge · full nightly
  • Code-reviewed before it lands
ci pipeline · on mergegreen
merge ✓smoke ✓nightlyreport ✓
Step 05 · Trust, shown

Evidence flows back

Results into your TCMS & Jira — every failure arrives with its proof.

  • Traces, screenshots & video
  • Allure dashboards + write-back
  • Failures arrive with proof
run report · evidence attachedwritten back
TraceScreenshotVideoAudit trailAllureTCMS · Jira
Step 06 · Feedback loop

Coverage self-corrects

Gap reports and escaped-defect feedback drive the next batch.

  • Gap reports drive the next batch
  • Escaped defects become new cases
  • Coverage compounds over time
feedback · next batchself-correcting
Gap reportEscaped defectNew caseRe-prioritizedCoverage ↑Next batch
✓ Hands on the wheel The human approval gate is deliberate. AI moves at machine speed; a named person signs off every case.

Cadence once live: fast smoke gate on every code change · full regression nightly · reporting continuous.

Our Capabilities

One managed service. Four ways it earns your trust.

AI-accelerated test automation, delivered as an outcome — drafted at machine speed, human-approved, running in your CI, with evidence on every result.

Intelligent Test Automation

From requirement to running test — automatically

AI authors functional, UI & API tests from your stories and code
AI drafts the cases; a named human approves every one
Regression suites that stay green across releases
regression suite · live runrunning
36
passed
2
running
0
failed
Performance Engineering

Find the bottleneck before your users do

Load, stress & scalability testing modeled on real traffic
Shift-left performance validation wired into CI/CD
Latency & throughput tuned for production scale
response time · p95 latency (ms)5k users
Flake Triage · Reviewed-PR Fixes · Audit Trail

Every fix is a reviewed code change — never a silent patch

Flakes triaged to root cause — timing, data, or selector — not masked by blind retries
Every fix ships as a human-reviewed PR you approve, with a full audit trail
No silent self-healing that can hide a real defect — our TrueGreen standard
ci pipeline · on mergegate passed
merge
smoke
nightly
report
Enforced Standards · Reusable Patterns · No Lock-in

Readable, engineering-grade suites in your stack — yours to keep

13 enforced standards + 8 reusable patterns; 1,900+ violations driven to zero on a live engagement
Written in your stack — Playwright/TS, Selenium/Java+BDD, or Python API
No proprietary black box, no lock-in — you own the suite outright
run report · evidence attached1 failure
Tracereplay
Screenshotcaptured
Videorecorded
Audit trailsigned
DashboardAllure
Write-backTCMS · Jira
FableRun

The framework that drives efficient test automation.

// what it is

FableRun is internal machinery — you never license, staff, or operate it. You experience it as speed, evidence, and a suite you own. Your data stays in your tools: Jira, Kiwi TCMS, Excel.

01
Layer 1 · MethodA machine-enforced rulebook

Every test must clear 13 engineering standards before it can merge — real assertions, no fixed waits, one selector home. Versioned and extensible, per client and vertical.

02
Layer 2 · Starter kitsYour stack, met where it is

One method, live across three ecosystems today — Playwright/TypeScript, Selenium/Java BDD, Python API. Built stack-agnostic: the next starter stands up in days, not quarters.

03
Layer 3 · Your repoA suite you own outright

Readable, standard code in your repositories, wired to your CI. No runtime AI dependency, no tool lock-in — leave any time and keep everything.

Hours, not weeks

from a sprawling manual workbook to a clean, prioritized automation backlog — intake built for 1,000+ case inventories

weeks
hours
Days to a new stack

the method is technology-agnostic; starters implement it per ecosystem

PlaywrightSeleniumPython
2 AI passes, 1 human gate

cases drafted, then code written — a named reviewer approves between and after

AIAI
Why the green is trustworthy

TrueGreen — a pass that actually means it works.

Anyone can make a test go green. We engineer the discipline that makes green mean something.

✕ False green
app is down503
✓ 42 passed…but the product is broken

A weak test asserts "the page responded" — and stays green while the feature is dead.

how we
close the gap
✓ TrueGreen
feature verified200
✓ 42 passedand every one demonstrably works

A real assertion proves the outcome, a human signs off, and the code is yours — so green is the truth.

01

A human approves
every test

Case review in your TCMS, code review in Git. Nothing ships unreviewed.

02

Assertions prove
real outcomes

"The page loaded" is not a pass. A pass means the feature demonstrably worked.

03

No self-healing

A UI change becomes a reviewed code change with an audit trail — never a silent patch that hides a bug.

04

No AI at
test runtime

The running suite is standard open-source code. No AI to execute, no per-run AI cost.

05

The client owns
everything

Readable code, your tools authoritative, no lock-in. We retain by value, not hostage-taking.

// field note

Born from a real catch: a suite that stayed green while the app was down. We hardened the discipline that same week — and we demo it.

Proof

Real engagements — anonymized, verifiable.

Descriptors, not client names — references and detail under NDA. Every claim on this page maps to shipped, demonstrable capability.

00
standards violations in a rescued enterprise suite — the gate now blocks any new one from merging
Hours, not weeks
a 200-tab manual workbook normalized into a clean, prioritized automation backlog — triage included
0ecosystems live
one method proven on Playwright/TS, Selenium/Java BDD and Python API — built to add the next in days
Loop verified
TCMS write-back end to end: runs recorded, failures ticketed, cases flipped to automated
0

tool lock-in — every suite lives in your own repos, always yours

0

machine-enforced standards a test must pass before it can merge

0

AI passes with a human approval gate in between — nothing runs unreviewed

Service Offerings

The menu — from a first audit to running it for you.

Every offering feeds the next: an audit prices the rescue, a pilot opens the retainer. Start wherever your pain is loudest.

QA Suite Audit

Days · fixed fee

"Is our automation actually any good?"

Our standards gates run on your suite — a health report of violations, sleeps, inline selectors, and weak assertions.

Automation Pilot

2–4 weeks

"Prove it on one module first."

20–30 cases automated; suite, CI and dashboards set up; evidence per run. The conversion moment.

Backlog Automation

Monthly retainer

"Automate our 300 test cases."

Intake & triage into the real automatable list, then committed monthly delivery at a Simple / Medium / Complex mix.

Module Coverage

Scoped project

"Cover the claims module end to end."

Cases written, approved, automated, and running green — for one scoped module.

Test Rescue

Scoped → retainer

"We have automation — nobody trusts it."

Existing suite refactored to the standards: violations driven to zero, gates flipped to blocking.

Regression Operations

Monthly retainer

"Just run it for us."

Nightly execution, failure triage with verdicts, reporting, and TCMS / Jira write-back.

Your Stack, Your Tools

We deliver on what you already run.

No migration, no new platform to adopt. We connect to your test management and CI, run in your framework, and write results straight back — your tools stay authoritative.

Kiwi TCMSJiraExcel PlaywrightTypeScriptSeleniumJava + BDDPython API AllureJenkinsGitHub ActionsAzure DevOps
// note

"Uses Selenium" is not a problem — it's a fit. A large suite that's flaky, slow, or under-maintained is exactly the shape we take on. We ship starter kits for Playwright/TypeScript and Selenium/Java+BDD, and stand up a new stack in days, not quarters.

Where We Deliver

Built for complex, high-stakes systems.

The harder your application is to test, the more this model returns. We lead where legacy depth, regression load, and audit pressure meet.

Release on schedule. Pass the audit. Hold under load.

Core banking, lending, and channel platforms change constantly while release calendars and examiner visits stay fixed. We grow coverage and prove performance — without growing your team.

Automated coverage across core, lending, payments & digital channels
Audit-ready green — documented evidence, real checks, CI gates
Performance & resilience proven before peak load hits production
Systems we test
FinacleBaNCSFlexcubeCustom coresInternet bankingMobile bankingPayments

Long-lived systems, large regression surfaces.

Policy administration and claims platforms accumulate decades of business rules. We automate the regression burden manual QA can't keep pace with — and produce the evidence audit demands.

Deep business-rule coverage for policy, claims & billing flows
Multi-system integration testing across the policy lifecycle
Evidence trails that stand up to compliance review
Systems we test
Policy adminClaims platformsBilling enginesAgent portalsRating engines

Validation-heavy, where evidence matters.

Clinical and EHR-adjacent systems demand documented test evidence, and manual review doesn't scale with them. We bring automated coverage with the traceability regulated health environments require.

Requirement-to-test traceability built into every generated case
Coverage on legacy clinical systems other vendors won't touch
Human-approved, documented runs suitable for validation review
Systems we test
EHR-adjacent appsClinical workflowsPatient portalsHealth-tech platforms

The product outlived its documentation.

A long-lived product, accumulated complexity, original engineers long gone, and a QA function that can't keep pace. FableRun reads the source and the stories directly — so thin documentation stops being the blocker.

Older stacks welcome — classic .NET, older Java, FileMaker-class systems
Existing flaky suites rebuilt into coverage you can trust
Coverage grows without hiring a single automation engineer
Typical profile
10+ year codebasesThin docsWeb / desktop / APIGrowing regression debt
Questions, Answered

The things every QA and
engineering leader asks first

Can’t find what you are looking for?

Contact Us

No. FableRun is our internal machinery — the method, starter kits and AI tooling behind the service. You buy a committed outcome, and everything it produces lives in your own repos and tools.

A fixed monthly fee for a committed outcome — a set volume of automated test cases each month at an agreed complexity mix. Never per seat, never per person. We scope the number from a triage of your real, automatable cases before anything is committed.

No — it augments them. A named human reviews and approves every AI-drafted case, the suite is owned by you, and it removes repetitive scripting so your people focus on exploratory testing and quality strategy.

Deliberately, no. Silent self-healing can hide real bugs. When the UI changes, the AI proposes the fix as a reviewed code change with an audit trail; a human approves it. Most of the labor savings, none of the silent lying.

Evidence, attached to the result: the impacted cases named and linked, a full audit trail, traces, screenshots, video, and dashboards — plus results written back into your TCMS and Jira.

Your existing test assets in any form (spreadsheets, TCMS, stories), dedicated test accounts, a stable test environment, and API access where computed values need verifying. Synthetic data only — we never touch real customer or patient records.

See it run green on an application like yours.

Twenty minutes. We'll show you generated, automated tests passing CI for real reasons — and what your coverage and performance could look like in ninety days.

Book a Discovery Call
$ fablerun run --suite regression  →  ✓ PASSED · true green

Ready to take your business on the
path of success?