Developing the GenAI Capabilities to Win
Enterprise Model Training
& Fine-Tuning Best Practices
Workshop
Training Choices Decide Outcomes
Enterprise Model Training & Fine-Tuning Best Practices
This workshop helps enterprise leaders build a clear, shared understanding of how model training and fine-tuning should be approached to support real business outcomes—not experimentation for its own sake. Designed for organizations moving from exploration to execution, it aligns stakeholders on what “good” looks like for training GenAI responsibly, repeatably, and at scale. To win, leaders need more than model enthusiasm—they need disciplined training decisions that enable quality, scale, and confidence in enterprise GenAI.
The Challenge
As GenAI adoption grows, many organizations struggle to turn model training into a reliable enterprise capability.
- Unclear training strategy – Leaders lack a shared view on when to rely on base models versus when fine-tuning is justified.
- Fragmented data decisions – Data requirements, ownership, and pipelines are undefined or debated too late.
- Misaligned success metrics – Teams train models without clear, business-relevant definitions of “success.”
- Limited repeatability – Training efforts are treated as one-offs rather than scalable, governable processes.
- Quality and risk blind spots – Model performance, consistency, and operational risk are addressed reactively instead of by design.
Enterprise GenAI success requires intentional, aligned decisions about how models are trained, measured, and scaled.
Our Solution
A fast-paced, leadership-oriented working session designed to clarify direction, build alignment, and define actionable next steps for enterprise-ready model training.
- 1:1 Discovery Sessions – Short, executive-level conversations to ground the workshop in current GenAI ambitions, constraints, and training maturity.
- Model Training & Fine-Tuning Scan – A lightweight assessment to baseline how training decisions are made today and where gaps create risk or drag.
- Executive Briefs – Targeted, decision-oriented briefs translating training best practices into clear leadership implications and trade-offs.
- 2-Hour Group Working Session – A facilitated leadership session to align on training approaches, success criteria, and scale considerations.
- Recommended Next Steps – Clear, prioritized actions to strengthen training discipline, governance, and execution readiness.
Establishing a clear foundation for confident, enterprise-grade model training decisions.
Area of Focus
- Introducing model training workflows for enterprise GenAI
- Understanding base models vs fine-tuned GenAI systems
- Mapping data needs and pipeline requirements
- Defining success metrics for training objectives
- Planning for repeatability, scale, and quality in training
Participants Will
- Clarify training strategy – Align on when to use base models versus fine-tuning to meet business needs.
- Define data readiness expectations – Establish shared understanding of data requirements and pipeline implications.
- Align on success metrics – Agree on how training outcomes will be measured and evaluated.
- Identify scalability requirements – Surface what must be true to repeat training efforts reliably across teams.
- Surface quality and risk considerations – Make quality, consistency, and assurance explicit leadership concerns.
- Create decision-ready guidance – Leave with clear principles to guide future training investments.
- Prioritize next actions – Identify concrete steps to strengthen enterprise training capabilities.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 Hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional lightweight worksheets, decision guides, and readiness checklists