Accelerated Innovation

Ensure You Have the Capabilities to Win with GenAI

LLM EaaS Pilots

Workshop
Prove Model EaaS works—then scale it with confidence

Pilots should prove a capability, not just a concept. This workshop designs pilots that validate the operational reality of EaaS—security, monitoring, workflows, and reliability—so what works can scale with confidence. 

Leave with a pilot approach that reduces rollout risk and accelerates the path to scalable Model EaaS. 

The Challenge

Enterprises often run pilots, but don’t design them to validate the operational realities required for EaaS to scale. 

  • Pilots prove a concept, not a capability: Teams test evaluation logic, but don’t validate infrastructure, security controls, monitoring, and operating practices needed for rollout. 
  • Issues are discovered late and repeated: Without pipeline monitoring and clear metrics, failures surface after pilots expand—creating rework and slowing adoption. 
  • There’s no feedback-driven path to scale: Learnings aren’t captured in a repeatable rollout approach, so each new deployment starts from scratch. 

If pilots don’t validate operations, Model EaaS can’t scale—and evaluation remains a one-off exercise. 

Our Solution

We help teams design pilots that test the full EaaS operating reality—so what succeeds can scale and what fails is caught early. 

  • Prepare infrastructure for scalable EaaS rollouts: Define the infrastructure needs and rollout readiness criteria required to move from pilot to production-like capability. 
  • Implement secure deployment practices and access controls: Establish practical security and access patterns that enable use without compromising enterprise control. 
  • Deploy monitoring for evaluation pipelines: Identify the monitoring coverage needed so teams can detect issues quickly and understand what’s happening in the pipeline. 
  • Use metrics to identify improvements and errors: Define the metrics that show whether the pilot is working and where reliability or usability needs improvement. 
  • Establish feedback loops to refine deployments: Create a cadence for learning, refining, and hardening EaaS deployments as adoption grows. 
Area of Focus
  • Preparing infrastructure for scalable EaaS rollouts 
  • Secure deployment practices for evaluation services 
  • Access controls for EaaS usage and administration 
  • Monitoring tools for evaluation pipelines 
  • Metrics to identify improvements and errors 
  • Feedback loops to refine deployments 
Participants Will
  • Define what an EaaS pilot must validate to be scalable, not just successful in isolation 
  • Identify the infrastructure and security prerequisites for broader rollout 
  • Establish monitoring and metrics needed to detect errors and improve reliability 
  • Create a feedback loop plan to refine deployments and reduce repeated issues 
  • Leave with a pilot-to-scale approach that accelerates Model EaaS adoption responsibly 

Who Should Attend:

Data EngineersSecurity & Responsible AI LeadersEvaluation LeadGenAI Program LeadersAI/ML LeadersRisk, Compliance, Ethics, and Governance Partners

Solution Essentials

Format

 Facilitated workshop (interactive discussion + working session)

Duration

4 hours 

Skill Level

Advanced

Tools

Virtual whiteboard and shared document workspace

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