Technical debt, also known as code debt or design debt, is the cost of additional work that arises when a software development team chooses a quick solution over a more efficient one. It's a term that's similar to financial debt, where you borrow money to buy something now and pay it back later with interest.
Automation has been a game-changer for organizations worldwide, yet many find themselves entangled in unintended consequences—technical debt. As enterprises push for faster results, short-term fixes often create long-term inefficiencies, leaving teams struggling to balance innovation with operational realities.
This ebook explores the growing issue of tech debt in automation, revealing why, despite years of investment, human-centric processes remain stubbornly embedded in many organizations. It’s a deep dive into the hidden barriers that slow progress and the widening disconnect between technology advancements and business outcomes.
With the rise of Generative AI and agentic-powered automation, the stakes for addressing these challenges are higher than ever. This ebook equips readers with the knowledge to identify tech debt in their systems, understand its impact, and apply forward-thinking strategies to overcome it.
Whether you’re a leader, technologist, or process strategist, this resource offers actionable insights to future-proof your automation journey, aligning your technology roadmap with meaningful business value. Unlock the tools to turn automation challenges into opportunities for growth and success in the age of intelligent solutions.
