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September 17, 2025
5 minute read

Reimagining Developer Productivity with AWS GenAI-Powered Platforms


About the customer

S&P Global is a world leader in financial intelligence, best known for maintaining the S&P 500 Index, one of the most recognized equity benchmarks globally. With a history dating back to 1957, S&P Global continues to be a trusted source of market indices, analytics, and data solutions that power investment strategies, benchmarks, and products worldwide.

As part of its digital transformation journey, S&P Global partnered with Altimetrik to build SP Cloud Studio, a GenAI-native Internal Developer Platform (IDP) leveraging AWS services.

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Key Business Challenges

Developer Productivity and Experience
S&P Global’s engineering teams grappled with a fragmented developer experience. Constantly switching between tools, repositories, and integrations meant developers spent more time on repetitive tasks and less on innovation. This context-switching drained productivity, making it harder for teams to deliver at the speed the business demanded.
Standardization and Infrastructure Agility
The lack of reusable assets and consistent environments led to duplication of effort, with teams often rebuilding similar components from scratch. Coupled with inefficient access to infrastructure, APIs, and templates, scaling applications became a slow, error-prone process. Without centralized access to infrastructure-as-code (IaC) and delivery frameworks, agility was compromised, delaying time-to-market and inflating costs.
Accountability, Security, and Governance
Leadership lacked granular visibility into project-level engineering costs, limiting their ability to measure ROI and enforce financial discipline. At the same time, as AI adoption grew, embedding compliance, explainability, and observability into workflows became a critical need. Security and governance gaps risked undermining trust, highlighting the urgency of stronger guardrails for responsible innovation

Solution Overview

Smarter Developer Experience

  • Automated orchestration with Amazon Bedrock Supervisor Agent and GitHub/DynamoDB sub-agents gave developers seamless, in-context task support, eliminating manual integration overhead.
  • AWS GenAI-powered chatbot acted as a real-time coding companion, answering queries, simplifying workflows, and freeing engineers from repetitive tasks.
Accelerated Discovery & Reuse
  • With Titan embeddings and Amazon OpenSearch Serverless, developers could instantly search across 70+ GitHub repositories, unlocking APIs, templates, and reusable assets.
  • This streamlined discovery process prevented duplication, improved consistency, and significantly reduced time-to-market.
Trust, Visibility & Accountability

  • Guardrails from AWS Bedrock embedded prompt filtering, jailbreak protection, and explainability into the platform, ensuring secure and compliant AI adoption.
  • Real-time insights from Amazon CloudWatch and Splunk dashboards enabled leadership to track performance and costs, embedding financial accountability directly into development workflow

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Business Outcome and Impact

Consistency and Productivity at Scale

By standardizing the developer experience, S&P Global eliminated context switching and reduced onboarding friction. Centralized assets and consistent workflows created a uniform environment for teams, minimizing learning curve gaps and enabling developers to focus on innovation rather than repetitive setup. This consistency not only boosted productivity but also accelerated time-to-value for new projects.

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Trusted, Enterprise-Grade AWS GenAI Adoption

The platform embedded explainability, observability, and cost accountability into every stage of development. This gave teams the confidence to scale GenAI safely in production, ensuring innovation was always balanced with compliance and financial discipline. By integrating trust and transparency directly into the workflows, S&P Global could embrace AI at scale without compromising governance or accountability.

Efficiency and Engagement That Lasts

Pre-approved IaC and APIs streamlined the idea-to-production cycle, reducing delays and removing integration hurdles. Teams shipped faster, without the burden of repetitive tasks. At the same time, weekly dashboards showcasing adoption metrics and usage insights encouraged healthy competition among developers. This visibility not only sustained engagement but also drove long-term platform adoption across the enterprise.

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Engineering Meets Trust – Smarter, Bolder & Faster


This collaboration showcases Altimetrik’s strength in uniting engineering depth, GenAI innovation, and FinOps accountability to build scalable enterprise platforms. By pairing modernization with discipline, compliance, and trust, Altimetrik delivered more than a developer platform, SP Cloud Studio stands as a blueprint for enterprises to harness AWS GenAI with speed, reliability, and confidence.

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Client Success Stories

Real results in action

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