ODC: Debt-Settlement Modernization
See how InApps built CDS, a 24/7 offshore development center, to stabilize and modernize their debt-settlement platform across US time zones.
AI-Integrated Fintech Platform
Client is a nationwide debt-settlement company helping thousands of Americans reduce what they owe and regain financial freedom. They needed end-to-end technical leadership to stabilize an inherited system, modernize their digital platform, and maintain consistent engineering output across US working hours.
InApps delivered full technical ownership, cleaning up architecture, improving platform reliability, and running continuous delivery in sync with US timezone operations.
Project goals
- Source senior engineers team fluent in AI tooling, not just AI-aware
- Match working hours to full US timezone overlap
- Guarantee English fluency for direct, translation-free communication
- Onboard new engineers into a live roadmap within two weeks
- Apply AI directly to CDS's fintech R&D, not as a side tool
Client requirements
Across each key area, these requirements shaped every staffing decision we made.
Offshore Development Center
CDS needed a team who could operate at a senior level immediately, not after months of ramp-up.
- Senior-level backend and AI engineering experience
- Fluent English for direct collaboration with the US team
- Proven track record applying AI in production fintech systems
- Ability to contribute to existing sprints within days
Timezone & Communication
A distributed team only works if collaboration happens in real time
- Full overlap with US working hours
- Daily standups without scheduling friction
- Direct Slack/async communication with the core team
- No intermediary layer slowing decisions
AI Capability
CDS wanted engineers who treated AI as a working tool, not a buzzword.
- Hands-on experience with OpenAI API integrations
- Ability to apply AI to fintech-specific R&D problems
- Comfort prototyping and iterating on AI-driven features
Roadmap Continuity
The existing roadmap couldn't slow down to accommodate onboarding.
- Onboarding structured around live sprints, not isolated ramp-up
- Engineers contributing to real tickets within two weeks
- Agile/Scrum fluency from day one
- No disruption to existing release cadence
Business challenges
The core obstacles that shaped how we built this team.
Talent Scarcity
Senior engineers fluent in both AI tooling and English were in short supply domestically, slowing an active development roadmap
Timezone Friction
Earlier offshore attempts struggled with limited working-hours overlap, creating lag in code review and decision-making.
AI Skill Gap
The existing team needed engineers who could apply AI directly to fintech development, not just reference it peripherally.
Onboarding Speed
Any new engineer had to contribute meaningfully within weeks, not months, to avoid stalling the roadmap.
Our solutions
Each solution addresses a specific pain point in scaling a senior, AI-capable team on a live roadmap.
Full Timezone Overlap Staffing
Matched engineers to CDS's exact working hours, removing the lag of traditional offshore handoffs.
AI-Native Engineering Bench
Selected and trained engineers specifically to apply AI tools inside CDS's fintech development workflow.
English-First Vetting
Prioritized English fluency in every hire so engineers could contribute directly, without a translation layer.
Roadmap-Aligned Onboarding
Structured onboarding around CDS's live sprints so new engineers shipped real work from week one.
Technology stack
A stack chosen for direct contribution to an active fintech roadmap.
React
Python, Node.js, REST APIs
AWS, OpenAI API
Agile/Scrum
The experts behind it
A focused, senior bench built for immediate contribution and full timezone overlap.
Technical Lead
Aligns daily with CDS's core team on priorities, code standards, and sprint commitments.
AI-Native Backend Engineers
Apply AI tooling directly to CDS's fintech R&D while shipping production code.
Full-Stack Engineers
Cover end-to-end feature work across the existing platform.
QA Engineer
Validates every release against CDS's live roadmap before deployment.
What we delivered
Key outcomes
- Delivered end-to-end technical leadership for a non-technical client
- Stabilized an inherited system with cleaner architecture and predictable processes
- Enabled faster delivery, improved platform reliability, and enhanced user experience
- Successfully supported US timezone operations with consistent quality output
An onboarding window built for AI-native engineers, not a generic offshore ramp-up, kept CDS's roadmap moving without a single sprint lost to handoff.
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