Assess & Accelerate Your GenAI Readiness
Enterprise LLM Evaluation-As-a-Service
Assessment
Do You Have the Enterprise LLM Evaluation Capabilities to Win?
As GenAI solutions spread across products, teams, and vendors, ad-hoc evaluation quickly becomes a bottleneck and a risk.
To win, you’ll need to be able to evaluate, compare, and select the right LLMs for you specific business needs.
The Challenge
When every team evaluates LLMs differently, it becomes hard to answer critical questions like:
- Which LLM is best for each use case within our quality, risk, and cost constraints?
- Can we reliably detect regressions, hallucinations, or bias before and after deployment?
- How do we industrialize evaluation so it isn’t a slow, manual bottleneck every time we ship?
Without a centralized LLM Evaluation-Service, launches slip, failures spike, and LLM choices are hard to defend.
Our Solution
A structured, lightweight digital diagnostic that:
- Shows how consistently you evaluate LLMs today across teams, products, vendors, and deployment options.
- Defines what “good” looks like for LLM evaluation in your organization, from data prep through deployment monitoring.
- Identifies the gaps that create risk and waste, then focuses investment on the highest-impact improvements.
Move from “we run scattered LLM experiments” to “we operate an enterprise-grade evaluation service that guides every LLM decision.”
Areas of Focus
- LLM EaaS Vision & Strategy – Why you need evaluation-as-a-service and how it supports key decisions on model selection, lifecycle, and risk.
- LLM EaaS Data Prep – How you source, curate, and govern evaluation data, test cases, and labels.
- LLM EaaS Catalog & Recommendations – How you catalog models, benchmarks, and results and turn them into clear recommendations for product and engineering teams.
- LLM EaaS Pilots – How you design pilots and A/B tests, set success metrics, then turn results into go / no-go decisions.
- LLM EaaS Deployment and Monitoring – How evaluation connects to deployment pipelines, monitoring, drift and regression detection.
- LLM EaaS Management – How you structure LLM Evaluation-As-a-Service as an scalable enterprise capability.
Targeted Acceleration Guides
> 800 actionable resources to accelerate your GenAI journey, including:
- A brief description of each capability or practice
- Why it’s important and why it’s challenging at scale
- The typical complexity to solve
- Three actions to take based on your specific level of readiness
- Key watch‑outs and common pitfalls to avoid
- The benefits you can expect when you close this gap
How it Works
- Take the assessment – Purchase and complete the Enterprise LLM Evaluation-As-a-Service Assessment diagnostic for your organization or team.
- Review your results – See your scores across each area of focus and compare your readiness with data-driven benchmarks.
- Unlock your Acceleration Guides and action plan – Access targeted recommendations, with concrete actions, watch-outs, and next steps.
Outcomes You Can Expect
- A clear view of how mature your enterprise LLM evaluation capability is today and where to focus next.
- A better understanding of how your evaluation practices compare with emerging industry patterns and leading practices.
- A practical action plan with concrete next steps to improve data, tooling, processes, and governance.
- A way to track progress over time as you mature your evaluation service.
This is the Solution for You, if:
- You support multiple LLM use cases and need a consistent way to compare options.
- You worry about LLM quality, safety, and compliance risks but lack a systematic way to test models.
- You want to move from ad-hoc experiments to an enterprise-grade evaluation service,