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Planning Agents

Four Thousand Test Cases. Nobody Can Tell You What They Cover

Volume is not coverage. Planning Agents trace every case to an approved requirement and regenerate it when the requirement changes. Test data is synthesised on demand, GDPR-safe, so nothing waits for a masked copy of production.

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The Problem

The Hidden Cost of Scattered Test Knowledge

When test knowledge lives in individuals, it walks out the door when they do. When coverage is tracked in spreadsheets, it is always incomplete and always outdated. When release decisions are based on gut feeling, production incidents are inevitable.

  • Manual test creation slows coverage expansion
  • No single source of truth for test execution visibility
  • Test cases drift when requirements change
  • Unstable test data impacts coverage reliability
  • Audit preparation requires manual effort
  • Release decisions rely on incomplete insight

How It Works

The Three Agents

Three RabbitQA modules work in concert to power Planning Agents, each shown live below.

1

CaseWriter

AI Test Case Generation

Generates test cases from approved requirements in minutes rather than days, and regenerates them when the requirement changes so coverage does not quietly fall behind the product.

Generation from business requirements, user stories and acceptance criteria
Generation from a website URL, a Figma file or a specification document
Automatic regeneration when requirements change, with no manual maintenance
Coverage analysis identifying gaps between defined requirements and existing scenarios
A dedicated test case generated for a specific bug
•Test cases in minutes instead of days, with 35-50% QA productivity improvement
•Coverage scales with development velocity rather than with headcount
•The suite stays accurate as requirements evolve, so stale scenarios stop eroding release confidence
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3RQ
CaseWriter
Dashboard
File Management
AI Test Case Generation
AI Test Sessions
Test Repository
Settings

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

Test Repository

Manage and organize your test cases

ImportExport
Search test cases or sets...
NewFilterRefreshGenerate with AI

Test Repository

3 test sets / 24 test cases

Authentication8 test cases
Login with valid customer number and OTP
Login with invalid password locks account
OTP expires after 60 seconds
Payments12 test cases
Account Management4 test cases

Test Case Details

DetailsHistory

Title

Login with valid customer number and OTP

Pre-Conditions

Customer account is active and enrolled for SMS OTP.

Priority:HighComplexity:Moderate
CaseWriter

CaseWriter opens on the Test Repository, every test set and case in one tree.

Point the generator at a requirements document, then choose the platforms to cover.

Set the model, count and testing focus, then generate the cases.

It is reading the requirement, not matching keywords in it.

The cases come back to review: search, filter and approve them in place.

Open one for its preconditions, its steps and its expected results.

A test case a human can run, and a runner can automate.

2

TestPilot

Execution Governance

One view of every plan, run and result across squads and release branches, so release readiness is a number rather than the opinion of whoever sounds most certain in the meeting.

Live execution dashboard with coverage, pass rates and release readiness scoring
Automated evidence collection with full requirement to test to result traceability
Cross-team visibility across every squad and release branch
Configurable release gates enforcing quality thresholds before deployment approval
•Release decisions stop resting on incomplete data or personal judgment
•On-demand compliance reporting replaces 2-4 weeks of manual audit preparation
•Every stakeholder, from QA engineer to CTO, reads the same source of quality truth
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3RQ
TestPilot
Dashboard
Test Plans
Test Runs
Test Execution
Test Repository
Impact Analyzer
Issue Tracker
Reports

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

Test Management Dashboard

New Plan
DashboardTest PlansTest RunsTest ExecutionTest RepositoryReports

Total Plans

8

Test plans

Active Test Runs

5

Currently running

Completed Test Cases

1,248

This month

Pass Rate

92%

Overall pass rate

Execution Trend

Current Status

92%Pass
SuccessFailedBlockedNot Executed

Active Plans

Monitor progress across all plans

View All Plans

Internet Banking

82%
Healthy

Mobile Wallet

64%
Healthy

Merchant Portal

45%
Warning

Card Services

91%
Healthy

Recent Test Run Activity

Latest test execution history

View All Activity
Regression Sprint 24Regression2m
Total: 52 tests34 Success3 Failed68%
Payments SmokeSmoke1h
Total: 18 tests18 Success0 Failed100%
TestPilot

Open TestPilot: plans, active runs and pass rate at a glance.

Test Runs lists every run on the Internet Banking plan, add one.

Plan, name, type, platform, environment, priority. Add it.

The run exists: Planned, 0%. It has no cases yet, open its menu.

Manage Test Cases: pick them out of the shared Test Repository.

Move twelve cases across, straight from the repository CaseWriter writes into.

The run is live. Now execute a case.

Passed. Status, distribution and run progress all move together.

3

DataCrate

Stable Test Data Layer

Provisions the data every case needs to actually run. Synthetic and structurally valid, so environments do not wait weeks for a masked copy of production and no real record leaves its system.

Synthetic data generation on demand, matched to the schema the test expects
Domain templates for banking, insurance, retail and telecom, plus your own custom templates
GDPR-compliant generation, with no production records copied into test
Mock services for the dependencies that are not available when you need them
•Environment availability stops being a blocker, because the data does not wait for a refresh
•Regulatory exposure from production data in test is removed rather than managed
•GAN-LLM synthetic generation is months of ML engineering, not something a team builds in a weekend
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3RQ
DataCrate
Dashboard
Uploaded Files
Smart Data Generation
Mock Services
Dynamic Forms
Data Sessions
Data Repository
Provisioning

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

Smart Data Generation

Build a schema, configure generation, and run a synthetic dataset.

Single Data GenerationDataset GenerationDataset Enlargement
AI-Powered Dataset Generation

Generate Dataset

Build synthetic datasets from templates, uploaded files, or start from scratch with AI-powered column configuration

Start from ScratchSelect from TemplatesGenerate with Service
1,284Datasets Generated6Sessions Today3.42sAvg. Generation Time

Upload Dataset

Drag & drop a CSV, XLSX, XLS or JSON file, or upload a new dataset

Upload New DatasetChoose From Uploaded Dataset
Recent SessionsView All

orders_2026_q1 synthetic

CompletedDataset

payments_ledger synthetic

RunningDataset

Select a dataset or template to continue

Continue
DataCrate

Smart Data Generation opens on the Dataset Generation tab, ready for a source.

Every dataset already in DataCrate, pick the one to learn from.

Rows, columns and creation date, before you commit to it.

customers_master.csv is the seed. The synthetic data will look like this.

The seed is attached and Continue unlocks, on to the columns.

AI suggests a generation method for each of the 11 columns.

Format, name, target folder, then Generate.

The run reports live progress while the synthetic rows are written.

1,000 rows that behave like production and contain nobody real.

Measurable outcomes

Business Impact

The results Planning Agents drives for enterprise delivery teams.

0-50%

QA Productivity Gain

0-40%

Faster Test Preparation

0%

Centralized Visibility

What This Means for Your Business

  • QA scales without proportional headcount growth
  • Release decisions become data-driven
  • Coverage becomes measurable and auditable
  • Testing becomes institutional knowledge
You can't govern what you can't see. Planning Agent makes testing visible.

Right fit

Built For

Planning Agents is the right fit if you recognize any of these.

Large QA organizations with multiple squads
Regulated sectors requiring audit-ready traceability
High release frequency environments
Enterprises standardizing test governance
Coverage tracked in spreadsheets with no unified view
Compliance evidence assembled manually before every audit
Test cycles blocking releases due to manual bottlenecks
QA knowledge dependent on specific individuals

One governed lifecycle

The chain your sign-off sits in

The coverage you approve came from a requirement someone else approved, and it becomes the standard an engineer measures execution against. Agents draft and execute; people decide what counts as ready. The record holds every one of those decisions with a name and a timestamp.

Ideation

Business Agent

On behalf of Product Manager / Owner / Business Analyst

Analyzes requirements, detects gaps & risks, generates PBIs

SmartRequestAnalyzerSmartPBI

Planning

Planning Agent

On behalf of QA Team / Lead Tester

Auto-generates test cases, manages test plans, prepares test data

CaseWriterTestPilotDataCrate

Execution

Technical Agent

On behalf of Test Automation / QA Engineer / System Engineer

Runs tests, validates APIs, monitors production health in real-time

AutoRunnerSmartAPIHealthCheck
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Transform Testing Into a Governed System.

Talk to a RabbitQA specialist and see how Planning Agent maps to your QA team structure, release cadence, and compliance requirements.

Contact us

Trusted by leading enterprises

Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
Hopi
Quick
Pegasus
Otokoç
Akbank AG
badael
RabbitQA brand aurora, a purple and magenta gradient backdrop

Talk to a specialist

Contact us

See how Planning Agents maps to your team, your stack, and your delivery challenges.

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