Junkies Coder has announced the launch of its Agentic AI & Enterprise Modernization practice, a dedicated business unit focused on helping enterprises successfully deploy AI agents by modernizing the legacy applications, cloud infrastructure, and operational frameworks that support them.
The new practice is designed to address a growing challenge facing organizations worldwide: bridging the gap between AI investment and successful implementation. As enterprises accelerate AI adoption, many continue to face obstacles related to outdated technology environments, technical debt, and operational complexity.
Junkies Coder has launched a dedicated Agentic AI & Enterprise Modernization practice.
The initiative helps organizations modernize legacy systems and prepare infrastructure for AI deployment.
The practice combines AI engineering, application modernization, cloud infrastructure, and DevOps services.
Gartner predicts enterprise applications with AI agents will rise from less than 5% in 2025 to 40% by the end of 2026.
Gartner also forecasts that over 40% of agentic AI projects could be abandoned by 2027 due to cost, complexity, and unclear business value.
The practice aims to accelerate AI production readiness while reducing implementation risks and technical debt.
Organizations across industries are investing heavily in artificial intelligence, yet many struggle to move beyond pilot programs and experimental deployments. While AI capabilities continue to advance rapidly, legacy systems and fragmented technology environments often limit organizations' ability to scale AI initiatives effectively.
Industry research highlights the magnitude of the challenge. Gartner reports that fewer than 5% of enterprise applications included task-specific AI agents in 2025, but that figure is expected to increase to 40% by the end of 2026. At the same time, Gartner predicts that more than 40% of agentic AI projects could be abandoned by 2027 due to rising costs, unclear business outcomes, and integration complexities.
Further reinforcing this trend, McKinsey research indicates that organizations operating with fragmented or outdated technology systems are significantly more likely to experience AI implementation delays.
"Every enterprise board wants AI agents in production. The reason most stall isn't the model, it's the decade of technical debt underneath it," said Shalehin Modasia, Managing Director of Junkies Coder.
"You cannot scale autonomous agents on brittle architecture. Our practice strengthens the foundation architecture, infrastructure, and DevOps so AI delivers measurable outcomes instead of becoming another abandoned pilot," he added.
The Agentic AI & Enterprise Modernization practice brings together four key disciplines that are often managed separately within organizations.
The practice supports the design, development, deployment, and governance of task-specific and multi-agent AI systems. The focus is on creating production-ready AI environments with the observability, security controls, and governance frameworks required for enterprise adoption.
Legacy application environments frequently create barriers to AI implementation. Junkies Coder helps organizations modernize and re-architect existing systems to reduce technical debt and improve AI readiness.
The practice includes cloud infrastructure design and optimization services aimed at creating scalable, resilient, and cost-efficient environments capable of supporting AI and agentic workloads.
To accelerate deployment cycles and improve operational efficiency, the company also provides DevOps and platform engineering capabilities, including CI/CD automation, governance frameworks, and operational best practices.
By integrating AI engineering, modernization, cloud infrastructure, and DevOps expertise into a single delivery model, Junkies Coder aims to help enterprises reduce complexity and accelerate the transition from AI experimentation to production deployment.
The company believes that treating modernization and AI as separate initiatives often leads to delays, increased costs, and limited business outcomes.
"Modernization and AI are usually sold as separate projects, and that is exactly why both underdeliver," said Abhishek Singh, CEO of IndiaAI Mission.
"We treat them as one engineering problem, so clients see working outcomes in weeks rather than after a multi-year transformation," he added.
The launch comes at a time when organizations across India and global markets are increasing investments in AI-led digital transformation initiatives. As demand for AI engineering talent and enterprise modernization services grows, the company sees significant opportunities for businesses seeking practical pathways to AI adoption.
With the new practice now available to enterprise and mid-market organizations, Junkies Coder aims to help businesses modernize technology foundations, reduce implementation risks, and achieve measurable outcomes from their AI investments.
Junkies Coder is a mobile app development company in India, offering enterprise software, AI agent development, and DevOps services for clients across India and global markets. Founded in 2016, the company partners with businesses to build, modernize, and scale the technology that runs their operations.
