Caylent Catalysts™
Generative AI Strategy
Accelerate your generative AI initiatives with ideation sessions for use case prioritization, foundation model selection, and an assessment of your data landscape and organizational readiness.
At Caylent, we're using generative AI across all aspects of our business, from accelerating and improving internal workflows, to offering more innovative, tailored solutions to our customers.
Generative AI has been making waves across industries, and at Caylent, it’s no different. While we’ve built innovative generative AI solutions for our customers, we’ve also embraced this technology to transform how we deliver services. This shift has not only accelerated our workflows but also redefined how our teams collaborate and execute projects.
Six months ago, our approach to service delivery looked very different. Today, generative AI has become a core accelerator for virtually everything we do. Tools like modern Integrated Development Environments (IDEs), such as Cursor, and platforms like Amazon Q Developer allow us to go beyond traditional programming aids like Intellisense. With these tools, we’re achieving full code transformations, making our processes faster and more efficient.
By integrating these advancements, we’ve adapted our workflows to include generative AI models like Anthropic’s Claude and Amazon Bedrock. These tools have become invaluable in our day-to-day programming exercises, enabling us to streamline tasks that once required significant manual effort.
One of the key challenges we faced was that while AI could generate high-quality code quickly, the validation process remained time-consuming. At Caylent, much of our work involves helping customers modernize their applications for the cloud. This often includes transforming existing functionality into more maintainable, faster, and cost-efficient implementations.
To address this, we automated the validation step. Whether it’s:
Our automated validation ensures that generated outputs meet the desired standards. By providing detailed error messages, our teams can quickly identify and correct issues, allowing the AI to refine its results. This automation has significantly changed how we execute projects, enabling a more efficient and iterative approach.
Generative AI has introduced a new working style that combines automation with human expertise. We’ve adopted a “human-in-the-loop” approach, where AI handles the bulk of repetitive tasks, while our teams focus on complex and differentiated work.
Here’s how it works:
This iterative process means that only a small percentage—10% to 20%, depending on task complexity—requires manual intervention. The result? Faster delivery timelines and a more focused use of our teams’ expertise.
Our use of generative AI isn’t limited to development and delivery. We’ve also applied these tools to accelerate our sales and pre-sales processes. For example:
These innovations have dramatically increased productivity, allowing us to handle more work in less time. By automating repetitive tasks, our teams can dedicate their energy to strategic, high-impact activities. This shift has not only improved efficiency but also made day-to-day operations more enjoyable for our employees.
The integration of generative AI into our workflows has delivered several key benefits:
Generative AI is reshaping how we deliver services at Caylent. By integrating this technology into our workflows, we’ve accelerated delivery, enhanced efficiency, and created a more rewarding work environment. As we continue to innovate, we remain committed to leveraging AI to drive customer evolution and organizational growth. The future of service delivery is here, and it’s powered by generative AI.
If you’re interested in leveraging generative AI to transform your organization, contact us today to learn how Caylent can help you achieve your goals.
Randall Hunt, Chief Technology Officer at Caylent, is a technology leader, investor, and hands-on-keyboard coder based in Los Angeles, CA. Previously, Randall led software and developer relations teams at Facebook, SpaceX, AWS, MongoDB, and NASA. Randall spends most of his time listening to customers, building demos, writing blog posts, and mentoring junior engineers. Python and C++ are his favorite programming languages, but he begrudgingly admits that Javascript rules the world. Outside of work, Randall loves to read science fiction, advise startups, travel, and ski.
View Randall's articlesRyan Gross leads Cloud Data/AI/ML delivery at Caylent. Through his 15+ years of experience, Ryan has guided over 50 clients in building tech-driven data and AI cultures across various industries. By identifying technology trends, and leading the development of asset backed consulting offerings to realize value, he builds a growth culture within his team. Ryan is also a frequent conference speaker on emerging data and AI trends.
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