GenAI Development Best Practices & Support
GenAI development scales when teams share clear practices, reusable components, and consistent ways of working. This workshop helps leaders document development standards, define repeatable engineering pipelines, and put the right support model in place to enable quality delivery across teams.
Leave with a development playbook—standards, pipeline patterns, reusable components, and support approach.
Many organizations have pockets of GenAI development success, but lack consistency across teams and products.
- Practices vary by team: Without shared standards, quality and delivery speed depend on who builds the solution.
- Pipelines aren’t repeatable: Teams reinvent workflows for prompt and model work, slowing progress and increasing risk.
- Support is informal: Developers struggle to find reusable components, documentation, and expert guidance when they need it.
Without standardized practices and support, GenAI development becomes inconsistent—slowing scale and increasing rework.
We help your team establish development practices and a support model that make GenAI delivery repeatable and easier to scale.
- End-to-End Development Standards: Document how GenAI solutions are built across lifecycle stages, from design through iteration and release.
- Standard Pipelines and Workflows: Define consistent approaches for prompt and model engineering work so teams can move faster with less variance.
- Reusable Components and Patterns: Identify shared building blocks and reference examples that reduce reinvention and improve quality.
- Experimentation-to-Deployment Path: Clarify how teams move from local experimentation to broader rollout with appropriate guardrails and handoffs.
- Quality, Documentation, and Collaboration Model: Establish expectations for documentation, peer review, and working rhythms that reinforce good practices.
- Documenting Full-Stack Development Practices for GenAI
- Standardizing Pipelines for Prompt and Model Engineering
- Providing Reusable Components and Development Support
- Enabling Local Experimentation and Global Deployment
- Ensuring Quality, Documentation, and Peer Collaboration
- Align on a set of GenAI development standards that teams can adopt consistently
- Define repeatable pipelines that reduce rework and improve delivery speed
- Identify reusable components and patterns to accelerate development and onboarding
- Establish a clear path from experimentation to deployment that teams can follow
- Leave with a support and collaboration model that sustains quality over time
Who Should Attend:
Solution Essentials
Facilitated workshop (in-person or virtual)
Half-day (4 hours)
Intermediate to Advanced
Slides and workshop templates, development standards checklist, pipeline pattern library outline, reusable component inventory, collaboration and review cadence guide, virtual whiteboard or in-room collaboration tools