Generative AI Factory: Scaling AI Patterns
MAQ Software
Establish a GenAIOps-driven AI Factory to assess maturity, prioritize value, and deliver scalable, production-ready Generative AI on Azure AI
Establish a GenAIOps-driven AI Factory to assess maturity, prioritize value, and deliver scalable, production-ready Generative AI on Azure AI
Key Benefits:
- Establish a repeatable GenAIOps operating model for AI applications
- Understand current GenAIOps maturity and define a clear improvement roadmap
- Prioritize high impact Gen 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
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
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 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
- Security first, governance driven implementation
- 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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This offer is one of three components within the AI Transformation Offer - AI CoE & Solution Envisioning, AI Foundation Architecture, and Generative AI Factory - delivering end-to-end AI transformation on Azure.
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