AI-Powered Engineering for FSI with N-iX & Jellyfish

Why most AI engineering programs stall Financial services teams invest in AI coding tools, but adoption stalls and value stays unproven – because most programs push tooling instead of redesigning workflows and measuring outcomes. N-iX closes that gap through a proven consulting and ISV partnership with Jellyfish: we redesign how engineering teams work on AWS and measure the ROI to prove it, giving banks, insurers, and fintechs faster delivery with the data to back it up.

How it works As part of this offering we collaborate with Jellyfish – the leading intelligence platform for AI-Driven Development, used by 1,000+ customers to deliver ROI insights and quantified productivity gains.

The framework is implemented in 4 phases, each with clear entry/exit criteria:

1. Assess: N-iX maps your SDLC workflows and prioritizes AI use cases for regulated financial services; Jellyfish sets the measurement baseline
2. Pilot: N-iX implements 2–3 targeted AI-Driven Development workflows with compliance controls built in; Jellyfish measures before/after results
3. Scale: N-iX expands validated workflows across teams and product lines; Jellyfish compares outcomes across cohorts
4. Optimize: N-iX refines workflows and enablement; Jellyfish provides an ongoing system of record for AI impact and ROI

Built for regulated environments Delivered on AWS with security suited to financial services — including Amazon Bedrock for private model inference and audit-ready logging. Jellyfish runs as a secure multi-tenant SaaS on AWS (Bedrock, SageMaker), tying AWS Kiro and Bedrock usage and spend to auditable engineering outcomes.

What you get

• Current-state AI workflow and SDLC assessment led by N-iX
• Prioritized AI use case and pilot plan
• 2–3 implemented AI-Driven Development workflow pilots
• Jellyfish baseline and outcome dashboards for adoption, productivity, quality, and ROI
• Executive-ready readout on impact, investment efficiency, and scale recommendations
• Enablement and rollout guidance for broader team adoption

Key customer outcomes

• Implement AI-Driven Development workflows with a proven consulting and delivery partner
• Prove the ROI of AI coding and engineering tools with real operational data
• Move from AI experimentation to repeatable workflow change
• Identify which teams, workflows, and tools are delivering measurable value
• Improve delivery speed, predictability, and quality while scaling AI adoption
• Equip engineering and finance leaders with a shared, data-backed view of AI investment

What makes this different?

We don't do workshops-only engagements. Every engagement must produce measurable workflow change – or we stop and reassess. Built-in feedback loops at baseline, mid-point, and close. Champions own the change, not us. We focus on making the difference and scale it.

Get started: Learn more or contact N-iX at https://www.n-ix.com/ai-augmented-development-services/ , or request a private offer through this listing.