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With only 40% of AI POCs reaching production, Intellias introduces a pragmatic approach for AI transformation to bridge the strategy-to-results gap
Intellias, an AI-enabled product engineering and digital solutions partner, today unveils Intellias Pragmatic AI Playbook for AI transformation – a structured approach that helps enterprises move from early-stage initiatives to production by transforming how software systems are built and operated, and AI solutions are scaled across the business. Intellias Pragmatic AI Playbook is grounded in a defining capability: applying AI directly inside software engineering and IT operations, so organizations can turn AI investment into measurable business outcomes at speed.
This announcement comes at a critical time for industry. While technology leaders report a pivot to AI in 2026 and plan to significantly expand their investments in AI and GenAI by 44%, they continue to hit barriers and struggle to achieve return on investments. Nearly half of CIOs report performing below expectations in critical digital initiatives, as only up to 41% of AI and GenAI POCs are making it into production.
The industry has spent two years talking about AI’s potential. What companies need now is a clear path from strategy to results. By embracing AI, they can achieve higher revenue and better returns on investment. But not every enterprise knows how to execute this shift. At Intellias, we help organizations move AI from pilot to production by transforming how technology is built and operated – applying AI directly in software engineering and IT operations to move forward with clarity and confidence.
Vitaly Sedler, CEO and co-founder at Intellias.
The Intellias Pragmatic AI Playbook delivers measurable impact in complex, regulated industries, with selected case studies showing up to 70% cost reduction, 1.5x faster time-to-market, and shorter delivery cycles.
A healthcare organization relied on a third-party licensed platform to run its caregiver applications. Over time, costs continued to rise, while the ability to innovate and maintain control over the product remained limited. Rebuilding the system through traditional approaches would have required 12–18 months, significant capital investment, and introduced operational risk. Intellias applied its AI execution model to engineer requirements, generate core functionality, and redesign the application architecture for full ownership. A working product was delivered within days and rapidly advanced to production deployment. As a result, the organization reduced total investment by nearly 50%, accelerated time to market by 1.5x, eliminated ongoing licensing costs, and regained full control over a business-critical system.
A global mobility company needed to deliver a next-generation digital twin platform for a major industry event, where timing was critical to market positioning. Traditional development timelines made this unfeasible within the required window. Intellias applied AI-enabled engineering and AI agents to automate UI generation and accelerate development, delivering a production-ready solution in one day and a fully integrated solution in six weeks. This enabled the company to meet a critical market milestone while reducing delivery costs by approximately 70% compared to traditional approaches.
A global leader in identity and location technology had accumulated vast volumes of customer data across a fragmented portfolio of more than 80 products, yet lacked the architecture to translate that data into commercial value. Without a unified platform, the organization had no scalable way to generate customer intelligence or activate new revenue streams — leaving a significant monetization opportunity unrealized. Intellias designed and delivered a unified, AWS-native data platform in just nine months, applying a proprietary AI Ready Data Engine methodology to align platform modernization with a single high-value use case: automated customer intelligence. The result was a new revenue stream established, 33 billion data points processed, 22,000 account-specific recommendations generated, and a foundation for enterprise-scale AI product development.
We are witnessing a fundamental shift across industries. AI-enabled engineering has become a competitive advantage faster than any technology before. It helps organizations navigate complexity, reduce costs, and automate maintenance. The companies that adopt it now will lead their industries over the next decade.
Andriy Terlyha, Chief Delivery Officer and Partner at Intellias.
At the core of the Intellias Pragmatic AI Playbook are two strategic directions: technology and business transformation. Technology transformation lays the ground for business transformation, and together they enable organizations to achieve real business value.
Technology transformation focuses on applying AI to improve how software and IT systems are built and run:
Business transformation begins with establishing strong data foundations, governance, and a clear data strategy. From there, organizations can drive impact across three levels:
Most enterprises today struggle to move AI from a strategic priority to operational reality. The Intellias Pragmatic AI Playbook provides a structured execution approach to close this gap and deliver clear business outcomes.
