The True Cost of DIY AI Coding Assistants

Why Enterprises Need a Smarter Faster Development Framework

While AI coding assistants are increasingly popular, their real-world impact on enterprise software development often falls short of expectations. Despite AI already handling about 50% of coding tasks, 78% of enterprise software projects using DIY AI coding assistants fail to deliver positive ROI.

Organizations expecting faster development and cost savings are facing hidden challenges:

• 82% experience negative ROI within 18 months due to hidden infrastructure, security, integration, and compliance costs.
• AI-generated code sees 41% more bugs, requiring more expert oversight.
• AI maintenance alone consumes 30–50% of annual development costs.
• Legacy system integration costs $390K–$650K per project.
• Security breaches and compliance failures result in millions in penalties and reputational damage.

The report argues that a holistic, multi-agentic AI framework is essential for enterprises to truly capitalize on AI-driven development.

Damco’s Multi-Agentic AI Development Framework Can Help!

With the help of Damco’s multi-agentic AI framework, RAPADIT, enterprises can overcome the shortcomings of DIY AI approaches:

• 2–4 week setup vs. 3–6 months with DIY AI tools.
• Up to 92% cost savings over DIY AI implementation.
• 214% productivity increase and 45% faster release cycles.
• Pre-validation against 78+ regulations (GDPR, HIPAA, SOC 2).
• Built-in security, compliance automation, and audit trail coverage.

Results: Enterprises achieve 3.9x faster ROI, drastically lower operational risks, and cut compliance preparation time from 6 months to 2 weeks.