Qyrus Named a Leader in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025 – Read More

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Does your “QA Department” consist of your Lead Developer hoping nothing breaks on Friday?

Growing businesses face a brutal reality: you must release features immediately to survive, yet a single critical bug could cost you your biggest client. You don’t have the luxury of massive QA departments or endless release cycles. Instead, your developers often double as testers, creating a dangerous friction where speed cannibalizes quality.

This whitepaper outlines a “force multiplier” strategy for lean teams. It moves beyond theory to show how AI agents act as the dedicated QA staff you can’t afford to hire, allowing a small squad to deliver enterprise-grade reliability.

What You'll Learn in This Whitepaper
  • The “Force Multiplier” Strategy: How to use AI agents as “fractional experts” that allow a 5-person team to output the quality of a 50-person department.
  • Escaping the “Fix-It-Later” Trap: Why the traditional “test-last” model is bankrupting your innovation budget—and how to shift left without slowing down.
  • The ROI of Autonomous Quality: How to achieve a payback period of less than 6 months and get $2 of work for every $1 spent on intelligent automation.
  • Leveling the Playing Field: How SMBs are using agentic orchestration to bypass legacy integration headaches and compete directly with enterprise giants.
  • Founders & CTOs: Who need to scale their product’s user base 10x without hiring 10x more QA staff.

  • Engineering Leads: Who are tired of wasting their best developers’ time on manual regression testing and script maintenance.

  • Product Managers: Who want to stop choosing between meeting a launch deadline and ensuring a bug-free release.

Sneak Peek: The Cost of Waiting

The market isn’t waiting for you to hire more testers. With the AI testing market projected to grow at an 18.7% CAGR, your competitors are already automating the mundane.

“Investing in AI-powered quality is no longer just an option; it is a critical business imperative. Companies that invest now in intelligent test design and self-healing automation will unlock faster releases and superior products, while laggards risk technical debt and market irrelevance.”

Stop trading speed for quality. Download the blueprint to autonomous, self-healing testing.

The Velocity Gap in BFSI Software Quality

Why Traditional QA Fails Modern Finance

The BFSI sector faces immense pressure to deliver rapid digital transformation, but outdated, manual QA has become a bottleneck. AI accelerates innovation but introduces unpredictable behaviors that legacy approaches can’t handle. Fragmented toolchains and slow, error-prone testing expose banks to security risks, costly inefficiencies, and customer churn.

Download this whitepaper to learn how to:
  • Address non-determinism in AI-powered financial systems
  • Move from reactive bug-finding to proactive trust engineering
  • Integrate holistic, automated testing across web, mobile, and APIs
  • Quantify the bottom-line impact of engineered software quality
  • Core principles of Trust Engineering for BFSI institutions
  • Qyrus platform’s role in enabling unified, intelligent, and automated QA.
  • Case study: 200% ROI for a leading UK bank using agentic QA.
  • Strategies to protect customer data, enhance user experience, and reduce manual testing effort.

Driving the Future of Quality Engineering

Empowering enterprises to accelerate testing with AI-native autonomy

We are proud to announce that Qyrus has been recognized as a Leader in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025. As enterprises face the need for faster, more autonomous testing to keep pace with AI-infused application development, we believe this recognition shows our commitment to delivering a robust, AI-powered SaaS platform at scale.

How Qyrus Stacks Up

In this evaluation, Qyrus received the highest scores possible (5.0) in the following criteria:

  • Testing AI Across Different Dimensions
  • Testing RAG Pipelines
  • Level of Autonomous Testing
  • Roadmap
  • Pricing Flexibility and transparency
  • Testing Agentic Tool Calling
 

The report evaluated 15 top providers in the market.

Here is what the Forrester report had to say about Qyrus in its vendor profile:

  • Qyrus suits enterprises seeking advanced AI-driven testing, multiagent orchestration, and robust validation of GenAI outputs at speed and scale.
  • Qyrus excels in AI testing dimensions, using heuristics and LLM to judge faithfulness, relevance, and coverage.
  • Its Sense to Evaluate to Execute to Report (SEER) orchestration framework and excellent agentic tool calling result in an above-par
    score for autonomous testing.

From Vision to Validation: Hear from Our Leaders

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .

SAP Testing

Your Blueprint for Certainty

Your SAP system is the heart of your enterprise, but every update brings a wave of uncertainty and risk. Flawed testing processes can lead to production failures, budget overruns, and delayed projects. It’s time to break the cycle. This exclusive whitepaper is your blueprint for de-risking your updates and building a resilient, AI-powered testing strategy.

Are You Facing These SAP Update Challenges?
  • Brittle Scripts: Constantly fixing automation scripts that break with every minor SAP Fiori UI change.
  • Data Bottlenecks: Struggling to get realistic, production-like test data, which leads to bugs being missed.
  • Endless Cycles: Watching manual regression testing consume over 30% of your project budget and still failing to provide adequate coverage.
  • The Expertise Gap: Finding that your business users can’t use traditional testing tools because they are too technical, creating a major bottleneck.
  • Constant Fear: Worrying that a single missed test scenario in your complex landscape could “spell disaster” for your business operations.
  • The 5 Fracture Points: A deep dive into the technical, data, and process-related issues that cause even well-planned SAP updates to fail.
  • Why Old Fixes Don’t Work: An honest look at why throwing more manual testers or legacy automation at the problem is a failing strategy.
  • The AI-Powered Solution: The complete blueprint for implementing a no-code, intelligent automation strategy that empowers your business users.
  • Real-World Proof: A case study showing how a leading automotive manufacturer reduced a complex testing scenario from 34 minutes to just 4—an 88% reduction in effort.
  • Actionable Metrics: Learn how to achieve 10x faster test runs and a 60x reduction in test data creation effort.

The Data Deluge

Are You Making Business Decisions Based on Bad Data?

Every minute, your enterprise data is in motion—flowing, transforming, and multiplying. But what if the data you rely on for critical decisions is flawed? You’re not alone. The hidden cost of poor data quality is staggering, leading to flawed analytics, misguided strategies, and an erosion of trust across the organization. The reality is, manual data testing is no longer enough. It’s slow, error-prone, and cannot keep pace with the velocity of modern data pipelines. Your business can’t afford to be reactive, fixing costly issues after they’ve already impacted your bottom line and reputation. It’s time to build a foundation of trust.
Download the Free Whitepaper to Learn:
  • The Alarming Financial and Strategic Costs of Poor Data Quality. Discover why bad data is a C-suite problem, costing businesses millions annually and hindering digital transformation.
  • The Executive Case for Automated Data Testing. Understand how automated data validation can save your company from critical errors, regulatory fines, and reputational damage.
  • The Qyrus Methodology for Unlocking Data Confidence. See how our AI-augmented, codeless platform simplifies complex data validation, ensuring consistency and integrity from source to destination.
  • A Proven Path to Data Trust. Get a step-by-step guide on how to implement Qyrus, from a risk-free 30-day sandbox evaluation to a full enterprise-scale integration.

Unlike traditional, code-heavy solutions, Qyrus gives you the power of intelligent automation. Our platform helps you:

  • Prevent Errors Before They Happen: Proactively validate data across all sources with precision and speed.
  • Streamline Your Workflows: Leverage a powerful, codeless interface that empowers business and QA teams alike.
  • Ensure Compliance and Auditing: Generate comprehensive reports and audit trails for regulatory peace of mind.

Is Your QA a Bottleneck?

Why Fragmented Tools Fail in the Age of AI

Software development has hit hyperdrive. AI coding assistants now contribute to as much as 67% of new code, creating a massive velocity gap that leaves traditional QA—and its fragmented toolchain—behind. While your developers accelerate, your testing processes are likely trapped by manual triage, endless script maintenance, and the complexities of managing multiple, disconnected tools.

Download this whitepaper to learn how to:

Is your F&B brand prepared for the seismic shifts in the industry? This playbook provides a strategic guide to implementing a unified, intelligent, and automated QA model.

Key Ingredients for QA Success

Overcoming the Digital Bottleneck

  • In the F&B sector, the percentage of fully automated testing activities is even lower than the cross-industry average of 15% due to compliance and legacy systems.
  • This leads to significant consequences like delayed releases, high costs from quality failures, and inconsistent test coverage.
  • The gap between digital ambition and testing readiness is growing, creating risks across product launches and ERP upgrades.
  • Most current QA environments are manual and fragmented across platforms like SAP (ERP), mobile, and APIs. 
  • This results in delayed releases, poor audit traceability, and increased risk during system updates.
  • To stay competitive, F&B leaders must treat QA as a strategic and scalable function that has a cross-functional impact.
  • Empower your business and QA teams with agentic, no-code test automation across Web, Mobile, API, and Backend.
  • Accelerate testing for SAP using pre-built accelerators with F&B-specific workflows and integrations.
  • Achieve real-time visibility by testing complete processes, from mobile ordering to ERP fulfillment, with end-to-end test orchestration.
  • See how a leading U.S. F&B distributor transformed its operations by modernizing its QA. With over $40 billion in annual revenue, they delivered higher-quality digital experiences without compromising speed.
  • They overcame manual bottlenecks and slow testing cycles by using codeless automation to accelerate test creation and regression.
  • They addressed resource strain by transitioning manual testers into automation contributors, which boosted test velocity.
  • They achieved 90% test coverage across critical scenarios and implemented 100% reusable automation for Web, Mobile, SAP, and Salesforce applications.

Tired of automation that adds complexity without catching the critical defects that matter? It’s time to move beyond brittle scripts and firefighting. This whitepaper provides a strategic framework for orchestrating a truly intelligent quality process, turning your QA team from a bottleneck into a business accelerator.

The Automation Blind Spot: Why Are Critical Defects Still Slipping Through?

You’ve invested in automation. You’ve adopted AI tools. Yet, your team is still walking a difficult tightrope between the demand for unprecedented speed and the mandate for quality. The modern development lifecycle—an explosion of code changes from developers and AI assistants—creates a widening chasm between the pressure to accelerate and the need to protect the end-user experience.

This challenge is intensified by a very real talent bottleneck and the complexities of legacy system integration. The result? A reactive, late-cycle testing model that is fundamentally broken.

  • Exponential Costs: A defect found in production is exponentially more disruptive and expensive to fix than one caught in design.
  • Resource Drain: Developer time is diverted from innovation to firefighting emergency patches.
  • Business Risk: Customer churn and brand reputation are directly at risk with every escaped defect.

If this sounds familiar, it’s because incremental improvements are no longer enough. It’s time for a fundamental shift in strategy.

Assemble Your AI-Powered Quality Team

The answer isn’t more automation; it’s smarter, orchestrated automation. This whitepaper, The QA Leader’s Playbook, demonstrates how to move from a reactive testing posture to a proactive, predictive, and profitable one by augmenting your team with a suite of collaborative, intelligent agents.

The Transformative Impact of AI-Powered QA

 

80%

Reduction in Costly Production Defects

 

36%

Acceleration in Time-to-Market

 

20%

Decrease in Manual UAT Effort

Learn how to build a digital crew of AI colleagues, each with a distinct expertise, working tirelessly to handle the repetitive tasks and empower your engineers to focus on high-value, strategic problem-solving.

Inside the Whitepaper, You Will Discover:

  • The AI-Powered Team Blueprint: Meet our specialist agents—from TestGenerator to Healer—that form your new quality team.
  • The Shift-Left Framework in Practice: A step-by-step guide to embedding quality across the entire SDLC, from initial requirements to post-release maintenance.
  • The Unmistakable ROI: A breakdown of the Forrester TEI study results, showcasing a 213% ROI and a <6 month payback period driven by the Qyrus platform.
  • A Phased Adoption Roadmap: A clear, three-phase plan to de-risk your investment and guide your journey from a small pilot program to enterprise-wide AI orchestration.

Lead the Future of Quality

Adopting an AI-driven testing strategy is more than a solution to today’s challenges; it is a forward-thinking decision that future-proofs your entire quality assurance department.

Download your complimentary copy of The QA Leader’s Playbook and get the strategic framework needed to transform your QA function into a center of innovation.

 

Forrester The Autonomous Testing Landscape, Q3 2025

Qyrus, a leading AI-powered test automation platform, has been recognized in the latest Forrester report, “The Autonomous Testing Platforms Landscape, Q3 2025”. 

Autonomous Testing Platforms (ATPs) leverage AI-driven test automation to accelerate time to value, mitigate strategic risk, enhance governance quality, and promote democratized testing and cross-team collaboration. The report emphasizes that organizations must choose from a diverse range of vendors to realize these advantages. 

 

Forrester defines ATPs as “Platforms that combine traditional automation with AI and genAI agents to continuously perform increasingly autonomous testing tasks”. These platforms are capable of generating and executing a broad spectrum of functional and nonfunctional end-to-end tests across various products and applications, including those infused with AI, ensuring comprehensive and adaptive quality validation. 

 
At Qyrus, we proactively embrace critical industry trends like AI and GenAI to best serve our customers. Our inclusion in Forrester’s “The Autonomous Testing Platforms Landscape, Q3 2025” reflects our commitment to leveraging cutting-edge technology for customer success and satisfaction, particularly as the market evolves towards increasingly autonomous and intelligent testing solutions. 

 

At Qyrus, our suite of AI agents, including TestPilot, TestGenerator, TestGenerator+, Rover, Eval, API Builder, Echo, and Healer, are designed to transform the testing lifecycle. These agents automate critical tasks such as test creation, exploration, data generation, and self-healing, directly from URLs, application screens, or even JIRA tickets. This empowers teams to achieve greater efficiency and ensure superior software quality through intelligent, autonomous testing. 

Explore This Research To: 

Forrester, The Autonomous Testing Platforms Landscape, Q3 2025, Diego Lo Giudice with Chris Gardner, Angela Lozada, Kara Hartig, July 25, 2025. 

Gartner report features Qyrus

Qyrus, a leading AI-powered test automation platform has been featured in Gartner’s latest report on the impact of Generative AI (GenAI) on the Software Delivery Life Cycle (SDLC).  

GenAI is rapidly changing how software is built, tested, and delivered. The new-gen technology offers significant quality-of-life improvements for developers, with Gartner clients reporting productivity gains of around 10-15%. The real value lies in enhancing the developer experience and tackling specific SDLC bottlenecks.  

Download Now

This Gartner report, “How Generative AI Impacts the Software Delivery Life Cycle” (April 4, 2025), provides crucial insights into leveraging GenAI effectively while navigating its challenges.  

At Qyrus, we proactively embrace critical industry trends like GenAI to best serve our customers. Our inclusion as an example vendor in Gartner’s research on AI-augmented testing reflects our commitment to leveraging cutting-edge technology for customer success and satisfaction. 

Explore this research to: 

Gartner, How Generative AI Impacts the Software Delivery Life Cycle, Matt Brasier, 4 April 2025.