Validating Amazon Q as an AI Coding Assistant
In just four weeks, the bank validated Amazon Q as a coding assistant - safeguarding sensitive code, and accelerating engineering productivity.
Outcomes
35%
Reduction in Coding Task Time
95%
Code Quality Maintained
0%
Source Code Exposure
80%
Developer Satisfaction Score
Technology Vendors Suited to Evaluation
Business Problem
A Tier 1 bank wanted to understand if AI coding assistants could safely improve developer productivity. Engineers were spending excessive time on code testing, slowing delivery. The bank needed a way to trial new AI tools without exposing sensitive source code, while ensuring all outputs adhered to internal frameworks and best practices.
Challenges
- Testing Efficiency – reduce engineer time spent on code validation.
- New Tools Access – trial modern AI coding assistants.
- Code Protection – zero exposure of internal source code.
- Framework Compliance – maintain best practices and standards.
From Idea to Evidence with NayaOne
NayaOne provided a controlled workspace with synthetic source code and direct access to Amazon Q, enabling the bank to trial it as an effective AI coding assistant – reducing onboarding delays, improving decision quality, and giving stakeholders confidence in both productivity and integration outcomes.
Impact
PoC Timeline Reduction
4 weeks with NayaOne
vs 5 - 11 months traditionally
Time Saved in Vendor Evaluation
85 – 92% faster vendor evaluation
Reduced Validation Costs
92% lower
Decision Quality
Validated Amazon Q’s productivity, compliance, and integration upfront, giving stakeholders evidence-based confidence to proceed.
KPIs
- Reduction in Testing Time
- Code Generation Efficiency
- Source Code Exposure Risk
- Framework Compliance
- Defect Detection Accuracy
Validate AI Coding Assistants Safely and at Speed
Accelerate software delivery with faster development cycles, secure environments, and governance proof – all through NayaOne.
