Industry
Financial Information and Analytics
Faster access to development knowledge through AI-powered search
Improved visibility into application usage and performance
Secure, governed AI interactions with built-in compliance controls
A global financial information and analytics provider needed to improve developer productivity across onboarding, software delivery and production support. Long onboarding cycles, fragile deployment pipelines and repetitive manual tasks slowed engineering teams and increased operational dependency.
Altimetrik developed an AI-enabled Internal Developer Platform using Amazon Bedrock. The platform combined conversational assistance, semantic search, production insights and responsible AI controls within a unified developer portal, helping teams find information faster, resolve issues and operate more independently.
Developers needed to navigate multiple sources to find information related to code, engineering standards, deployment processes and governance requirements. This made onboarding lengthy and reduced the time available for product development.
Fragile delivery pipelines and manual operational activities created additional delays. Teams also lacked consolidated insight into how applications behaved in production, making it harder to identify issues, prioritize improvements and accelerate resolution.
Any AI solution also needed to meet strict security, privacy and responsible AI requirements, including protection against hallucinations, prompt injection and sensitive data exposure.
Delayed onboarding and inefficient knowledge discovery affected developer productivity and slowed software delivery. Limited production visibility made issue resolution more reactive, while weak AI controls could introduce security, compliance and trust risks.
The organization needed a unified platform that could support developers throughout the engineering lifecycle without compromising governance.
Altimetrik implemented an AI-enabled Internal Developer Platform powered by Amazon Bedrock.
An AI chatbot and semantic search experience unlocked knowledge from previously difficult-to-search sources. Developers could ask questions and receive relevant guidance covering code, engineering standards, processes and governance.
AI-powered usage and performance metrics surfaced actionable insights into real-world application behaviour. These insights helped teams identify production issues, prioritize fixes and guide platform improvements.
The solution incorporated contextual grounding, hallucination controls and PII and PCI data masking. Red-team testing identified risks including prompt injection, information disclosure and inconsistent output formatting.
Responsible AI guardrails were aligned to the principles of being helpful, harmless and honest.
Created a unified knowledge experience designed to help new developers become productive more quickly.
Enabled faster knowledge discovery, issue resolution and prioritization using conversational assistance and production insights.
Established governance, privacy and security controls to support compliant enterprise use of Generative AI.
Altimetrik combined platform engineering, Generative AI and responsible AI control
