Technical debt is one of the most persistent challenges in enterprise IT. According to recent surveys, 79% of CIOs report that technical debt is a significant drag on their ability to innovate. Legacy automation platforms, brittle scripts, and fragmented integrations compound the problem — every new process automated with traditional tools adds to the maintenance burden.
This whitepaper explores how neurosymbolic AI automation can reverse the technical debt cycle by replacing fragile, code-heavy automations with governed, human-readable business logic.
What You’ll Learn
- Why traditional automation creates technical debt
- The hidden costs of maintaining RPA bots and scripts
- How English-as-Code eliminates automation maintenance
- A roadmap for technical debt reduction with AI
