Generative AI Factory: Scaling AI Patterns

Key Benefits:

• Establish a repeatable GenAIOps operating model for enterprise AI applications
• Understand current GenAIOps maturity and define a clear improvement roadmap
• Prioritize high impact Generative AI use cases for production delivery
• Accelerate time-to-value from proof of concept to production
• Deploy one production ready AI solution with governance, monitoring, and scalability
• Establish a sustainable AI Factory for continuous innovation and scale

Agenda

1. GenAIOps Introduction & Maturity Assessment

Duration: 2 hours workshop

• Define GenAIOps concepts, scope, and enterprise relevance
• Assess current processes, tools, and operating model
• Evaluate similarities and differences from traditional MLOps
• Determine GenAIOps maturity level
• Identify 2–3 prioritized GenAIOps focus areas (e.g., model selection, monitoring, deployment)

Outcomes

• GenAIOps Maturity Assessment
• 5–6 targeted, actionable improvement recommendations
• Priority focus areas for AI Factory enablement

2. Use Case Selection & Development Timeline

Duration: 2 hours workshop

• Select one medium-priority, low-to-moderate risk AI use case with strong business value from the scenario inventory
• Scope the single use case for 6–8 week production-ready delivery
• Align GenAIOps priorities to the selected use case
• Define a clear development timeline and next-step implementation plan

Outcomes

• Production-scoped use case identified
• Development timeline aligned with GenAIOps priorities
• Clear roadmap for execution defined

3. Full Cycle Development

Duration: 6–8 weeks

• Deploy GenAIOps priorities (e.g., model selection, monitoring, deployment) across development and production environments
• Deliver one production ready AI solution
• Establish a repeatable, factory like delivery cycle
• Prepare organization for continuous GenAI scaling

Outcomes

• GenAIOps capabilities deployed in development and production
• One production-ready AI solution delivered
• Repeatable AI Factory operating model established
• Roadmap for continuous GenAI expansion defined

Key Deliverables

• GenAIOps Maturity Assessment
• GenAIOps Priority Recommendations
• Use Case Selection & Scope Definition
• AI Delivery Timeline & Execution Plan
• Production Ready Generative AI Solution
• Repeatable GenAI Factory Operating Model
• Roadmap for continuous Scaling and Iteration

Prerequisites

• Access to Microsoft Azure resources
• Access to development and production environments
• DevOps / CI CD workflows in place
• Availability of business and technical stakeholders

Target Audience

• Enterprise Architects
• AI & Platform Engineering Leaders
• DevOps & MLOps Teams
• Product Engineering Leaders
• Innovation & Digital Transformation Teams

Why MAQ Software

• Deep expertise in Azure AI, GenAIOps, and enterprise scale delivery
• Proven experience operationalizing Generative AI beyond pilots
• Security first, governance driven implementation approach
• Strong alignment with Microsoft AI Factory and platform architectures
• End to end enablement from assessment to production scale

Begin your Generative AI Factory & GenAIOps Scaling engagement today. Contact us at CustomerSuccess@MAQSoftware.com

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