"The most common mistake in adopting agentic AI is introducing this technology into an environment with underlying technical debt. While AI can boost performance, its adoption is also associated with an increase in software delivery instability, according to the DORA State of AI-Assisted Software Development Report. AI acts as a powerful amplifier. When introduced into a weak or fragmented system, it doesn't fix the system; it amplifies its flaws."
"This is because AI does not overcome foundational hurdles. Leaders surveyed in the report The ROI of AI cite data privacy and security (37%), the difficulty of integrating with legacy systems (28%), and controlling costs (27%) as their top concerns. Without addressing these cracks, AI accelerates chaos instead of accelerating value, leading to a negative return on investment (ROI). To overcome this, organizations need more"
The adoption of artificial intelligence in business is nearly universal, yet adoption often increases operational friction rather than productivity by adding pressure to systems and budgets and amplifying underlying flaws. Three common mistakes cause this: deploying AI on environments with unresolved technical debt, allowing uncontrolled proliferation of siloed AI agents, and automating existing processes for incremental gains instead of orchestrating a new dynamic future. AI amplifies existing system weaknesses and can increase software delivery instability. Leadership concerns include data privacy and security, legacy integration difficulty, and cost control. Organizations require an enterprise-grade platform, disciplined strategy, and expert partners to realize AI's transformative potential.
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