QAgentic.ai is a complete quality assurance solution delivered with experts and the most advanced proprietary ai-model tuned for quality assurance.
The Problem
In an era of exponential complexity, safeguard your enterprise's future against QA blind spots.
"System complexity scales exponentially, but test coverage scales linearly. That foundational insight exposes the QA scalability problem traditional tools and headcount alone cannot solve."
- QAgentic.ai
Each production incident erodes customer confidence, increases support costs, and puts your reputation for operational excellence at risk.
90% of IT Leaders said outages reduced customer trust. (PagerDuty).
$2.4T
annual cost of poor software quality
Consortium for Information & Software Quality (CISQ)
Late issues force reactive firefighting, increasing stress, slowing strategic delivery, and creating cascading impact on release schedules.
4-100x cost increase when defects escape to production (IBM).
20%
industry change failure rate
DevOps Research and Assessment (DORA) - Google
DevOps processes do not scale with more test cases. Integration and UAT pressure leads to missed windows and expensive releases.
70% of digital transformations fail to meet goals (McKinsey).
40%
of testing effort spent on integration in large systems
Capers Jones
Why Us?
For over 20 years, Quality Assurance automation has meant one thing: writing test scripts. We built QAgentic.ai to RETIRE the scripting layer entirely!
This isn’t another AI wrapper or RPA patch. It’s the reinvention of Enterprise QA: from operational drag to strategic accelerator.
01
Business Intent to Test flows.
Business analysts input requirements and AI instantly generates intent-aligned test flows.
02
No scripting. No translation layers. No engineering bottlenecks.
Agents execute directly from business perspective – 100% autonomous, parallel, at exponential scale.
03
Zero black boxes. Zero communication friction. Seamless collaboration.
Every action is captured with 100% traceability, including screen recordings and click-streams, ensuring complete auditability for and rapid debugging.
The Solution
Existing AI efforts today are simple LLM wrappers, RPA screen recorders or patching AI capabilities to existing testing software. QAgentic.ai is built natively for the ai-era.
01
Import requirements from documents. QAgentic.ai automatically generate tests in natural language with priority, tags, positive, negative, and edge-case coverage.
02
Create linked test plans with flexible scheduling. Execute natural language tests interpreted in real time via AI, in parallel and at scale.
03
Every step is recorded with screenshots and video. Receive execution reports with chart analysis, diagnostics, and regression detection.
04
Native connectors for Jira, Slack, Leiga and more. Bug reports auto-create on failures and stay embedded in your CI/CD workflows. Intelligent linkeage between release and test execution plans.
Key Capabilities
Six capabilities solving the QA coverage scalability problem that has persisted for decades in enterprise software delivery.
AI-driven test generation expands coverage beyond manual capacity without proportional increases in team size or budget.
When UI changes break flows, AI agents detect, repair, and adapt tests automatically to reduce maintenance drag.
Video recording and click-stream capture for every run provide compliance-ready auditability and faster failure diagnosis.
Native integration with Jira, Slack, and CI/CD keeps quality signals inside your release cycle in real time.
Input PRDs and business requirements, output structured test cases that align business, QA, and engineering.
An onshore test team supported by proprietary AI tooling delivers end-to-end execution without internal setup overhead.
The Technology
Specialized, proprietary model with AI agents who collaborate in parallel and are orchestrated dynamically at runtime to amplify seasoned QA teams and deliver managed testing services to scale Quality Assurance coverage.
QAgentic Multi-Agent System
Each agent is optimized for one cognitive task and can evolve independently without disrupting the broader system.
Agents run simultaneously, enabling high scalability without the bottlenecks of sequential test runners.
The orchestrator dynamically assigns agents from runtime context, enabling real-time decision making.
Agents execute the full testing loop from test case creation to reporting with zero manual handoffs.
Get Started
Reach out to benchmark your current coverage and explore what 10x coverage looks like.
