Pre-Production EDD EaaS Best Practices
Go-live should be a decision backed by evidence, not optimism. This workshop defines pre-production evaluation workflows, benchmarks, and documentation practices that make readiness measurable and releases defensible.
Leave with a pre-production evaluation approach that reduces launch risk and makes release decisions defensible.
Enterprises can pilot GenAI quickly, but struggle to launch confidently because pre-production evaluation is inconsistent, late, or not tied to decision standards.
- Readiness criteria are unclear or subjective: Teams lack agreed benchmarks and regression thresholds, so “go/no-go” becomes opinion-driven.
- Testing environments don’t reflect reality: Without sandbox environments and controlled datasets, teams can’t accurately validate performance, reliability, and error behavior.
- Results aren’t documented for decision-makers: Even when evaluation is done, outcomes aren’t captured in a way that supports accountability and future regression checks.
Without disciplined pre-production evaluation, GenAI launches carry avoidable risk—and trust is fragile from day one.
We help teams operationalize pre-production EDD as a service—repeatable workflows, clear thresholds, and decision-ready evidence.
- Structure pre-launch evaluation workflows and datasets: Define what must be evaluated before release and ensure datasets reflect real-world scenarios and edge cases.
- Set pre-production benchmarks and regression thresholds: Establish the standards that determine readiness and detect quality degradation across iterations.
- Use sandbox environments to validate test accuracy: Define sandbox practices that enable reliable test execution without contaminating production behaviors.
- Evaluate scalability and reliability prior to go-live: Identify how to assess performance, stability, and failure modes before releases affect real users.
- Document outcomes to support production readiness decisions: Create decision-ready documentation that captures results, tradeoffs, and follow-ups—building a reusable baseline for ongoing EDD.
- Structuring pre-launch evaluation workflows and datasets
- Pre-production testing benchmarks and regression thresholds
- Sandbox environments for test accuracy
- Evaluating scalability prior to go-live
- Evaluating reliability prior to go-live
- Documenting outcomes to inform production readiness decisions
- Define pre-production evaluation workflows and datasets needed to support confident releases
- Establish benchmarks and regression thresholds that make readiness measurable and repeatable
- Identify sandbox environment requirements to validate test accuracy and reliability
- Define what scalability and reliability evidence is needed prior to go-live
- Leave with a documentation approach that supports accountable go/no-go decisions and future regression testing
Who Should Attend:
Solution Essentials
Facilitated workshop (interactive discussion + working session)
8 hours
Advanced
Virtual whiteboard and shared document workspace