The promise of agentic AI is compelling: intelligent systems that can reason, plan, and execute complex business processes with minimal human intervention. But for many organizations, the path from concept to production remains unclear. How do you ensure your artificial intelligence investments drive measurable business value?

At Thorogood, seeing many of our customers struggle with this very same challenge, we’ve developed an answer: Thorogood’s Agentic Implementation Framework. Built on our extensive experience delivering business-facing applications and powered by Databricks Mosaic AI and Agent Bricks, our structured approach to agentic AI system development keeps business value at the fore and delivers value in a matter of weeks.

Business value first, technology second

Too many AI initiatives have started with interesting technology, hoping to find a suitable use case. Our framework flips this approach. We begin with a focused, one-day workshop that maps your targeted business processes, identifies required people and data inputs, and quantifies business value at stake.

Together, we’ll explore essential topics:

• Process selection and decomposition
• Data and system readiness
• Tools and technologies
• Role definition and agent design
• Change management and humans in the loop

and use them to define a stepping-stone pathway from your AI aspirations today through initial steps demonstrating tangible business value on simple functionality to your ultimate vision of integration of an agentic AI system into your business workflows, covering everything from high-volume to high-complexity cases.

What are stepping stones?

This is a core tenet of our approach. Rather than attempting to build a comprehensive system all at once, often resulting in an over-engineered, unwieldy solution, we break down your agentic AI journey into deliberate, sequential steps, each one building on the success and the tangible business value of the last. We prioritize based on two factors: lower implementation complexity and higher, more assured business value; first steps for a system target quick wins with measurable outcomes, while subsequent improvements expand capabilities, adding coverage for more complex scenarios or extending to adjacent processes.

As a result, you’re never more than a few weeks away from demonstratable business value, and the pathway remains flexible as priorities evolve.

Why Databricks?

Our framework leverages many of the latest technologies from Databricks in our reference architecture. Why? We believe there is a lot more to an AI-enabled architecture than AI tooling alone; it’s one piece of a wider puzzle. Successful agentic systems require a robust data platform, and through the Databricks ecosystem, we can ensure agentic systems are built on reliable, trusted data, centralizing data governance and security through Unity Catalog and automating core data lakehouse operations through our metadata-driven data flow and data quality frameworks in Databricks. With that foundation in place, we build on Databricks’s Mosaic AI capabilities, from Model Serving for scalable inference endpoints, Agent Bricks for rapid prototyping, Genie Spaces for natural language interaction with structured data, Databricks Apps for streamlined deployment, MLflow for monitoring, and more, resulting in a cohesive system that reduces complexity and maintenance overhead and focuses on bringing you value quickly and consistently.

I’m ready to get started. Now what?

Here’s what you can expect:

• Contact us! – our consultants will reach out to schedule a free consultation with you to explore how Thorogood’s Agentic Implementation Framework can help transform your business.
• In a one-day workshop, we’ll work together to map your processes, assess data assets, quantify business value, and define an optimal pathway prioritizing initial implementation.
• Following the workshop and additional discovery, we design and implement a platform on which we can build your first stepping stone.
• We quickly stand up a pilot using Agent Bricks starters and subsequently iterate over 4-6 weeks through feedback sessions, accuracy analysis, and performance streamlining to roll out a working system alongside your existing processes for parallel run.
• After proving initial value, together we’ll keep business outcomes in focus by reassessing and planning subsequent steps along your pathway, each involving 6-8 weeks of build-out, iteration, and optimization.