Prevent and resolve technical debt with AI

concept australia Updated Nov 6, 2026 2 min read prevent-resolve-technical-debt-ai.md
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Use the Scan Engine and ServiceNow Otto AI agent to prevent technical debt as you code or remediate existing findings from completed scans.

Prevention and remediation workflows

AI-powered code fixes are available through two distinct workflows. Understanding which workflow applies to your situation helps you take action quickly.

Workflow

When You Use It

Outcome

Real-time Prevention

  • You're actively writing or modifying code in your development environment.
  • When you save a record, the Scan Engine detects violations inline and you generate an AI fix before committing or promoting the code.

Note: See Supported record types for Real-time prevention monitoring with AI for the tables that are supported.

  • Prevents technical debt from reaching production.
  • Reduces time spent in code review cycles.

Batch Remediation

  • A scan has completed and findings are displayed in the findings dashboard.
  • You review the list of violations and generate AI fixes in bulk or individually to clean existing technical debt.
  • Accelerates remediation of existing issues.
  • Reduces manual development effort and errors when fixing production code.
## Unified AI engine

Whether you're preventing technical debt during development or remediating findings from scans, you interact with the same AI fix generation engine.

  • ServiceNow Otto AI agent analyzes your code against scan definitions
  • Side-by-side code comparison interface shows original code versus suggested changes
  • You accept, reject, or revise suggested fixes using the same controls
  • Exception workflows for Recommend level findings follow the same process
  • All changes are tracked in your active update set with full audit trails

AI-suggested fix capabilities

The AI fix engine handles common coding violations quickly and accurately. Common fix types include the following:

  • Replacing deprecated API calls with current equivalents, for example, gs.log to gs.error
  • Adding missing error handlers to prevent unhandled exceptions
  • Correcting scoped app API usage to match ServiceNow general guidelines
  • Removing unsafe or deprecated functions to improve security
  • Formatting code to match style guidelines and improve maintainability

Key benefits

  • Faster development: Developers can apply AI-generated fixes instantly instead of manually reviewing and correcting code
  • Consistency: All fixes follow the same coding standards and patterns, reducing variability across your codebase
  • Learning: Side-by-side code comparisons help developers understand ServiceNow general guidelines and leading practices
  • Scale: Bulk generate fixes to remediate dozens of violations in one workflow instead of fixing them individually
  • Reduced risk: AI fixes are generated from validated patterns and include full audit trails for compliance

Next steps

Choose the workflow that matches your current task.

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