Agent Accelerator
for the Databricks Platform
A 4-week engagement that delivers a custom Decision Intelligence agent on Databricks—grounded in a clear decision owner, explicit business rules, and governed Unity Catalog data models—then deployed to a Databricks Agent Endpoint for testing and production rollout.
Sign Up for the Agent Accelerator ProgramWhat are Agent Accelerated Solutions?
The Agent Accelerator is a delivery engagement that produces custom AI agents on the Databricks platform (Agent Bricks and Custom Code) that do real work.
We do this with tools and templates that accelerate the design and build time of complex custom agents. These agents are customized to your business, data models, and knowledge work integration needs.
The Challenges of Building Custom Agents
Most “Agent” Projects Break for Predictable Reasons
Enterprise LLM agent efforts fail when they:
- Are not tied to a clear decision owner (no accountable role, no stable requirements)
- Rely on unstable or implicit data definitions (metrics drift, unclear joins, governance gaps)
- Attempt multiple business tasks in a single black-box prompt (no traceability, weak evaluation)
Why the Agent Accelerator works:
Part of our core process is we study how you use information and how we can accelerate your information processing and decision intelligence.
The Agent Accelerator Process
We design and prototype decision-intelligence agents around the real business needs of your roles and teams. We define the agent’s decision logic and business rules in clear, natural language—grounded in how your organization actually operates.
Business Analysis
We start by studying your core business and understanding your goals.
Agent Prototype Mockup
We prototype the agent based on the role’s business needs and encode the business rules in a testable form. The goal is not a demo—it is a working prototype that can be evaluated against real questions and outputs.
Data Modeling
We tailor the supporting data models to your existing data warehouse, ensuring the agent is production-ready and aligned to your metrics, systems, and governance from day one.
Deploy Agent MVP to Databricks
Finally we deploy to a Databricks Agent Endpoint for staging, testing, and production rollout.
4 Weeks to a Deployed Agent MVP
A pragmatic delivery sequence designed to produce a working agent and the governed data layer it depends on.
Phase 1
Business Analysis
Duration: 1 week
Deliverable: short report about how you do business
Phase 2
Agent Prototype
Duration: 1 week
Deliverable: working prototype agent (validated with sample data + test questions)
Phase 3
Data Model Development
Duration: 1 week
Deliverable: Unity Catalog managed tables, views, and metric views that support the workflow
Phase 4
Agent Deployment
Duration: 1 week
Deliverable: staging deployment, testing & evaluation, and production deployment plan
Engagement Deliverables
Ship one production-grade agent—fast.
The Agent Accelerator is designed for teams that want a real, testable agent on Databricks—grounded in a clear decision owner, governed data definitions, and explicit business rules.
Talk to our expertsOur latest blog resources
Articles on platform engineering and generative AI from the Patterson Consulting team
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Accelerating Retail Decision Intelligence with Agent Bricks
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