Driving secure AI adoption using Kiro and Amazon Quick Suite with ForInvest

ForInvest builds trading, analytics, and market intelligence solutions for banks and brokerage firms. A pioneer in investment technologies, the company has worked for decades to build digital investment applications that support high transaction volumes and strict performance requirements. In the world of finance, even small changes in latency or efficiency can significantly impact customer experience and operating costs. ForInvest’s core services had been running on Java 8, which performed well but was slated for long-term support. For ForInvest, continuing to provide peak performance would require additional infrastructure, raising operating costs and increasing technical risk, but a manual modernization would require significant engineering effort.

Beyond software development, ForInvest’s analysts had spent a good deal of their time collecting and summarizing financial data from disparate sources. ForInvest’s dependence on that workflow limited its ability to respond quickly to market shifts. As general interest in generative AI grew, ForInvest saw an opportunity to accelerate modernization and improve analysis—but it also recognized the risks. “Banks and brokerage firms wanted to see how AI might work in a financial product, but they also had concerns about regulation, security, and cost,” says Abidin Sunar, chief product and technology officer at ForInvest.

The company looked for a way to introduce AI into daily workflows while maintaining compliance with regulations. ForInvest had more than a decade of experience running workloads on AWS, and it built that foundation by adopting Kiro, a generative AI-powered assistant that brings structure to AI coding with spec-driven development, and Amazon Quick Suite, which answers questions and then turns those into actions using agentic teammates for research, business insights, and automation.

Kiro and Amazon Quick Suite are the foundation of ForInvest’s agentic AI workflows. As part of that approach, ForInvest started to modernize its development environment, using Kiro as an agentic coding service that works alongside developers to turn prompts into detailed specs, then into working code, docs, and tests. The service helped engineering teams migrate applications from Java 8 to Java 21 by analyzing existing code, identifying compatibility issues, and guiding updates step by step, reducing risk while addressing technical debt. Beyond code generation, Kiro helped ForInvest engineers reason through system changes and apply targeted optimizations. As a result, ForInvest improved performance without increasing infrastructure requirements.

To enhance access to market insights, ForInvest also adopted Amazon Quick Suite—a generative AI-powered business intelligence platform—for greater ease in analyzing data, creating visualizations, automating workflows, and collaborating across the organization. Analysts using Amazon Quick Suite can query authorized data sources in natural language and receive AI-generated summaries and insights grounded in verified data. For ForInvest, that has reduced the time spent searching for information and accelerated decision-making.

On the security and governance front, strong features were built in from the start. Using AWS IAM Identity Center—the recommended service for managing a workforce’s access to AWS applications—ForInvest applied centralized access controls, so AI activity remained visible and auditable as adoption grew. Supporting services such as Amazon Simple Storage Service (Amazon S3), an object storage service built to retrieve any amount of data from anywhere, were used to store logs and operational data, helping teams maintain oversight while scaling usage.

The agentic approach helped ForInvest apply AI across development and analysis workflows while maintaining security, governance, and cost control. “With a central AI department, we’ve moved beyond experimentation and are delivering compliant AI solutions that the financial sector demands, letting our teams focus on high-value innovation,” says Sunar.

The results were immediate and measurable. After migrating to Java 21 with help from Kiro, ForInvest improved application performance by 50 percent, reducing latency for mission-critical services. Greater efficiency helped the company reduce infrastructure usage by approximately 70 percent, saving $4,000–$5,000 each month.

Developers now spend less time addressing legacy issues and more time improving features and reliability. With Amazon Quick Suite, analysts reduced the time required to produce market analysis by 60 percent, helping decision-makers respond faster to changing market conditions. AI usage also moved under a shared governance model, replacing unmanaged experimentation with a secure, trusted approach.

Building on this foundation, ForInvest has begun developing new AI-driven offerings using Amazon Bedrock, a platform for building generative AI applications and agents at production scale. Those projects include ForMind, a market intelligence solution for banks and brokerage firms. Looking ahead, ForInvest sees its recent AI wins as just the beginning. “AWS gave us a secure AI infrastructure, boosted performance by 50 percent, and helped us cut costs without compromising architecture,” says Mert Kaplan, head of infrastructure at ForInvest. “This support provides us best practices for our future AI journey.”