CASE STUDIES
Practitioner Track Record
Results delivered by our founding team across prior enterprise engagements. Every metric verified, every outcome measured.
“Every metric verified, every outcome measured — that's our standard for transformation.”
Timeline Compression
8 months → 1 week
improvement
India's Leading Credit Ratings & Market Data Provider
Challenge
Lead time from requirements to production taking 34 weeks
AI-assisted architecture analysis and automated service extraction reduced lead time by 97%, transforming delivery cadence across the engineering organization.
Key Outcomes
- Lead time reduced from 34 weeks to 1 week (DORA metric)
- 97% reduction in delivery timeline
- AI-assisted architecture analysis and automated service extraction
- Engineering team upskilled to sustain AI-native workflows independently
Timeline Compression
3 quarters → 2 days
improvement
$7.5B FinTech Platform
Challenge
Legacy PHP to Go migration with complete restructure spanning 3 quarters
Complete legacy PHP to Go migration with full restructure, reducing a multi-quarter initiative to a 2-day AI-assisted transformation sprint.
Key Outcomes
- Legacy PHP to Go migration completed in 2 days
- 99% reduction in migration timeline
- Complete restructure with full codebase transformation
- Engineering capacity freed for product development
Timeline Compression
2 months → 48 hours
improvement
India's Leading Trading Platform
Challenge
6 production modules taking 2 months from requirements to production
6 production modules deployed from requirements to production in 48 hours using AI-native development workflows across the full SDLC.
Key Outcomes
- 6 production modules deployed in 48 hours
- Requirements to production in 30x faster cycle
- Full SDLC coverage from requirements to deployment
- AI-native development workflows adopted across team
COLLECTIVE IMPACT
Across All Engagements
Aggregated metrics from every DeployProAI transformation engagement.
Projects Delivered
Deploy Rate
Productivity Gain
Your Transformation Story Starts Here
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