Situation
Many organisations start their AI journey with promising proofs of concept but struggle to scale to production due to rising system complexity and regulatory demands. The complexity of modern AI systems – such as agent-based solutions – combined with growing compliance pressures under frameworks like the EU AI Act, often leads to delays, higher costs and limited impact. Without proper governance and monitoring, organisations risk losing visibility into system behaviour, making it difficult to demonstrate compliance or maintain trust in AI outcomes.
The Valcon Agent Management Solution for Databricks addresses these challenges by embedding automated version tracking, evaluation workflows and enabling continuous monitoring in AI projects. This structured approach enables organisations to move from experimentation to production faster, while maintaining transparency, reliability and compliance.
Business challenge
Organisations in regulated industries face growing tension between compliance and innovation. The EU AI Act has raised the bar for accountability, placing greater emphasis on companies to ensure that AI systems are traceable, auditable and demonstrably compliant. This means documenting all changes, validating performance and maintaining a clear governance trail, creating additional complexity in the development process and slowing down time-to-market.
Meanwhile, AI solutions built on platforms like Databricks are becoming more sophisticated. A key trend is the rise of AI agents, which are systems powered by Large Language Models (LLMs). Examples include AI-driven claim handling agents that process insurance requests or virtual assistants that support customer service teams. These systems can autonomously plan and execute tasks, making them highly versatile but also harder to monitor and control. Without robust monitoring workflows, organisations risk blind spots in the performance of AI applications and lack the insights needed for targeted improvements.
These challenges often create a bottleneck when moving AI projects from proof of concept to production. Meeting compliance obligations typically involves setting up multiple tools and manual processes for versioning, validation, and oversight, which slows down progress and diverts resources from innovation. Without a structured approach, businesses risk delays, increased costs, and missed opportunities to unlock business value from AI.
Solution
Balancing the requirements of regulatory compliance with the need for rapid AI innovation is a challenge that many organisations face today. As a Databricks implementation partner, Valcon helps clients overcome this by providing an accelerator solution that enables them to design, deploy and manage AI systems.
Our accelerator applies tools and principles from Large Language Model Operations (LLMOps), the discipline focused on managing and operating LLMs once they are deployed in real business environments. It ensures that performance is monitored, outputs remain reliable and any updates are properly governed.
Building on these principles, Valcon has transformed them into a practical solution that helps organisations accelerate the maturity of their AI operations on Databricks, reducing compliance risk and improving operational efficiency. The result is the Valcon Agent Management Solution for Databricks, a solution that seamlessly embeds governance and control mechanisms into the AI development process.
The Agent Management Solution automatically tracks every version of an AI model and records key configurations whenever changes occur. Each new version can then be evaluated through an automated review and evaluation process, where business experts assess the model’s output quality before it goes live. This approach creates a structured, repeatable process for managing change, ensuring transparency and accountability across the entire AI lifecycle.
By applying these mechanisms from development through to deployment, organisations can confidently build AI systems that remain reliable, transparent, and compliant over time.
Benefits
By transforming abstract LLMOps principles into a practical Agent Management Solution, organisations achieve complete traceability of their AI performance, creating an auditable record of every model version, change and evaluation. This makes it easier to demonstrate compliance with regulations such as the EU AI Act, while also increasing confidence in the reliability and integrity of AI outcomes.
As the process is largely automated and adaptable to different AI technologies, it minimises the manual effort typically required for governance and validation. Teams can focus on innovation rather than documentation or repetitive testing.
Ultimately, the Valcon Agent Management Solution enables the reliable, rapid and controlled delivery of AI products, helping organisations accelerate time-to-market while maintaining compliance and building trust in every AI deployment.
