{"slug": "building-ai-for-production-requires-more-engineering-than-ai", "title": "Building AI for Production Requires More Engineering Than AI", "summary": "GeekyAnts warns that delaying AI product modernization in enterprises incurs rising maintenance costs, slower AI deployment, and widening competitive gaps, with technical debt in the US reaching $1.52 trillion and early adopters seeing 20-30% higher EBITDA growth.", "body_md": "Jun 11, 2026\n\n# The Hidden Cost of Delaying AI Product Modernization in Enterprise Businesses\n\nThis blog explores the business cost of delaying AI modernization, from rising maintenance expenses and AI integration challenges to the growing competitive advantage of early adopters.\n\nAuthor\n\nBook a call\n\nTable of Contents\n\nAcross enterprise organizations, [AI product modernization](https://geekyants.com/enterprise-system-modernization/app-modernization) keeps appearing on roadmaps and getting pushed to the next planning cycle. The reasons are familiar: migration risk, budget pressure, and systems that still perform their core functions. What receives less attention is the cost of that delay in the current year. Maintenance expenses continue to rise, [AI initiatives take longer to launch](https://geekyants.com/blog/the-cost-of-delaying-production-readiness-in-ai-fintech-product-development), and competitors gain experience that cannot be acquired through spending alone. Those costs accumulate whether they appear in planning documents or not.\n\n## Maintenance Is Consuming Resources Meant for Growth\n\n[20 to 40%](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-debt-reclaiming-tech-equity)of the value of an enterprise's technology estate. The Consortium for IT Software Quality estimates that technical debt principal in the United States has reached\n\n[$1.52 trillion](https://www.it-cisq.org/the-cost-of-poor-quality-software-in-the-us-a-2022-report/).\n\n[improved customer experiences](https://geekyants.com/customer-experience), or AI initiatives. Organizations facing these costs are funding stability rather than progress.\n\n## Legacy Infrastructure Creates AI Adoption Barriers\n\n[AI model](https://geekyants.com/ai/ai-development-services)enters production.\n\n[Successful AI systems](https://geekyants.com/ai)depend on data that is accessible, structured, and consistent across the organization.\n\n[AI tools](https://geekyants.com/blog/top-10-ai-tools-every-uiux-designer-should-master)on top of this architecture does not remove the underlying limitation. In many cases, it exposes the problem at a larger scale.\n\n[AI-assisted modernization](https://geekyants.com/blog/modernize-your-enterprise-systems-how-generative-ai-revolutionizes-integration)can reduce modernization timelines by 40 to 50% compared with traditional approaches. The benefit is significant, but modernization still needs to occur before organizations can realize those gains\n\n## Competitive Gaps Expand With Time\n\n[20 to 30%](https://blog.phenomecloud.com/featured-blogs/why-enterprises-that-delay-ai-adoption-or-ai-strategy-will-fall-behind-by-2027)higher than sector peers during the same period. EBITDA is a measure of operating profit before interest, taxes, depreciation, and amortization. Higher profitability creates more capacity for future investment, while organizations that delayed modernization must fund both catch-up efforts and ongoing operations.\n\n[Generative AI adoption](https://geekyants.com/service/generative-ai-development-services)increased from 33% to 71% during the same period.\n\n## What Waiting Is Costing Enterprises\n\n[GeekyAnts](https://geekyants.com/)works with enterprise teams to assess existing technology environments, identify modernization priorities, and\n\n[build implementation roadmaps](https://geekyants.com/artificial-intelligence-consulting/ai-discovery-sprint)that reduce risk throughout the process. If your organization is evaluating its next step, our team can help determine where modernization will deliver the greatest impact.\n\n## Subscribe to Our Newsletter\n\n## Subscribe to RSS\n\n[Press & Media Hub RSS Feed](/rss/insights.xml)\n\nRelated Articles.\n\n## More from the engineering frontline.\n\nDive deep into our research and insights on design, development, and the impact of various trends to businesses.\n\n[ArticleAt ET Now Business Conclave 2026, GeekyAnts participated in a panel discussion on manufacturing, where our CEO Kumar Pratik shared his insights on Industry 5.0.](/blog/industry-40-built-visibility-industry-50-must-automate-decisions-says-geekyants-ceo-at-et-now-business-conclave-2026)\n\nJun 30, 2026\n\n### Industry 4.0 Built Visibility. Industry 5.0 Must Automate Decisions, Says GeekyAnts CEO at ET Now Business Conclave 2026\n\n[ArticleThis blog covers GeekyAnts winning the \"Excellence in AI & Digital Transformation\" award at the ET Now Business Conclave & Awards 2026, Gujarat Edition, held in Ahmedabad on June 16, 2026.](/blog/geekyants-wins-ai-and-digital-transformation-excellence-award-at-et-now-business-conclave-2026)\n\nJun 26, 2026\n\n### GeekyAnts Wins AI and Digital Transformation Excellence Award at ET Now Business Conclave 2026\n\n[ArticleAnalytics Insight features GeekyAnts CEO Kumar Pratik's take on why isolated automation efforts fall short, and what it takes to build truly future-proof manufacturing systems.](/blog/analytics-insight-features-geekyants-blueprint-for-future-ready-manufacturing)\n\nJun 25, 2026\n\n### Analytics Insight Features GeekyAnts' Blueprint for Future-Ready Manufacturing\n\n[ArticleA guide to automating SAR preparation and fraud checks within the loan origination workflow, covering U.S. regulatory requirements and how lenders can adopt automation without disrupting operations.](/blog/automating-loan-origination-workflows-from-sar-prep-to-fraud-checks)\n\nJun 25, 2026\n\n### Automating Loan Origination Workflows: From SAR Prep to Fraud Checks\n\n[ArticleGoogle I/O 2026 shifted mobile development from code assistance to full lifecycle delivery. This blog breaks down what that means for Android, Flutter, and React Native teams.](/blog/google-io-2026-mobile-playbook-ai-studio-android-cli-and-antigravity-for-app-development)\n\nJun 17, 2026\n\n### Google I/O 2026 Mobile Playbook: AI Studio, Android CLI, and Antigravity for App Development\n\n[ArticleA practical guide to building production-ready agentic workflows with Google's Managed Agents API, covering architecture, governance, and where enterprise teams should start.](/blog/beyond-the-chatbot-architecting-enterprise-workflows-with-managed-agents-in-the-gemini-api)\n\nJun 17, 2026\n\n### Beyond the Chatbot: Architecting Enterprise Workflows with Managed Agents in the Gemini API\n\n[View all articles](/blog)", "url": "https://wpnews.pro/news/building-ai-for-production-requires-more-engineering-than-ai", "canonical_source": "https://geekyants.com/blog/the-hidden-cost-of-delaying-ai-product-modernization-in-enterprise-businesses", "published_at": "2026-07-01 09:13:07+00:00", "updated_at": "2026-07-01 09:52:10.511501+00:00", "lang": "en", "topics": ["ai-products", "ai-infrastructure", "ai-research", "ai-startups", "ai-tools"], "entities": ["GeekyAnts", "McKinsey", "Consortium for IT Software Quality", "Kumar Pratik"], "alternates": {"html": "https://wpnews.pro/news/building-ai-for-production-requires-more-engineering-than-ai", "markdown": "https://wpnews.pro/news/building-ai-for-production-requires-more-engineering-than-ai.md", "text": "https://wpnews.pro/news/building-ai-for-production-requires-more-engineering-than-ai.txt", "jsonld": "https://wpnews.pro/news/building-ai-for-production-requires-more-engineering-than-ai.jsonld"}}