Real-World Results – The Data Behind ATONIS Success

By Vikas Basra

In the race to deliver software faster and more reliably, enterprises are seeking tools that go beyond automation to truly amplify engineering impact. ATONIS™, the AI-powered engineering workbench from Ness, delivers exactly that: measurable outcomes grounded in real deployment patterns and client engagements.

Measurable Outcomes from Deployment

ATONIS™ is designed to support modern engineering teams across the full software delivery lifecycle, from planning and architecture to coding, testing, and DevOps, using AI-powered copilots and real-time insights that enhance decision-making and execution.

According to its AWS Marketplace listing, organizations typically achieve measurable improvements from ATONIS™ when deployed through a structured professional services engagement:

• 50–75% reduction in requirements documentation effort, decreasing manual workload during early delivery phases.
• 50–60% improvement in developer productivity, enabling teams to focus more on innovation rather than repetitive tasks.
• Up to 70% automated test coverage, enhancing confidence in quality and reducing time spent on manual testing.
• 40–45% reduction in modernization costs, helping enterprises accelerate legacy transformation without escalating expenses.

Engineering leaders also gain real-time delivery visibility, with AI-driven insights highlighting risks, quality trends, and bottlenecks before they impact production, an invaluable advantage in high-stakes delivery environments.

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Real Use Case Example: AI-First Engineering Transformation

Product Engineering Use Case 1 for Honeywell: Facing an urgent January go-live for forecast management to replace an error-prone, issue-ridden Excel-based system, the customer needed a solution that was far faster than traditional methods could deliver. The Connect On Application aimed to replace Excel-based tracking with a centralized, AD-driven web application hosted on Azure. Leveraging Ness’s AI-driven ATONIS™ platform, core product engineering and design were completed in just two months, work that would have taken six to seven months manually. This accelerated delivery met the critical deadline and showcased how AI-enabled engineering can dramatically shorten timelines for complex enterprise initiatives.

Modernization Use Case 1 – CHG Healthcare: CHG Healthcare relied on a legacy Java-based Job Upload Tool to extract job data from its data warehouse and transform it for various third-party platforms, but the tool no longer met modern performance, scalability, or maintainability standards. Ness modernized the application by rebuilding it on a contemporary, scalable technology stack, leveraging ATONIS to accelerate development. Remarkably, the modernization was completed in just a few weeks, accelerating the time-to-modernization by at least 90%. It transformed a critical legacy system into a high-performance, maintainable solution in a fraction of the time traditional approaches would have required, demonstrating the power of AI-assisted engineering for rapid enterprise modernization.

ER&D Transformation:

Problem Statement:

Portco faced high R&D costs driven by an outdated and expensive talent model. Slow adoption of GenAI limited revenue growth and productivity gains, while organizational and leadership gaps hindered execution. Legacy products remained the primary driver of EBITDA, while new growth products struggled to gain adoption. The company lacked a high-performance engineering culture essential for scalable innovation and transformation.

Solution:

Ness partnered with Portco to establish the Intelligent Engineering Center (IEC), a modern integrated operating model designed to drive productivity, innovation, and cost-effective product development. The Innovation Studio, powered by the ATONIS AI-driven PDLC workbench, enabled faster delivery, scalable innovation, and real-time, data-driven governance through the ATONIS Intelligence Service. This setup provided a structured yet agile environment for measuring productivity and ensuring high-quality outcomes.

Key Outcomes:

• Achieved ~38% productivity improvement over five years through ATONIS and AI-enabled accelerators.
• Enabled AI-first product innovation, transforming user experiences and unlocking new market growth and customer engagement avenues.
• Improved EBITDA by 3 points within the first four months of partnership.
• Established Portco Innovation Studio as a hub for experimentation and collaboration, uniting Ness, Portco, and partner ecosystems.
• Enhanced predictability, visibility, and cost efficiency.

This initiative demonstrated how AI-driven engineering and an integrated operating model could rapidly transform a company’s product development capabilities, driving measurable business and financial impact while fostering a high-performance engineering culture.

Built for Modern Engineering Challenges

With AI embedded into the core of engineering workflows, ATONIS™ helps organizations navigate the complexity of distributed teams, cloud-native ecosystems, and continuous delivery expectations. Designed for cloud-native development and modernization initiatives, it integrates with existing toolchains and processes to accelerate time-to-value with minimal disruption.

If your organization is serious about scaling software delivery outcomes, from engineering productivity and modernization velocity to automated testing and delivery insight, explore how ATONIS™ and Ness’s Intelligent Engineering services can make a measurable difference.

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Talk to an expert about applying ATONIS™ to your engineering challenges.