Generative AI Factory: Scaling AI Patterns

Key Benefits:

• Establish a repeatable GenAIOps operating model for 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 beyond Proof‑of‑Concept into production
• Deploy production‑ready AI solutions with governance, monitoring, and scalability
• Create a sustainable AI Factory for continuous innovation

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 5-6 core GenAIOps priorities (e.g., model selection, monitoring, deployment)

Outcomes

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

2. Proof of Value Selection & Development Timeline
Duration: 2‑hours workshop

• Select one medium‑priority, low‑to‑medium‑risk AI use case with strong business return
• Scope use case for 6–8 week production‑ready delivery
• Align GenAIOps priorities directly to use‑case delivery
• Define clear development timeline and next‑step implementation plan

Outcomes

• Production‑scoped Proof of Value use case
• Aligned GenAIOps‑enabled development timeline
• Clear roadmap for execution

3. Full Cycle Development
Duration: 6–8 weeks

• Deploy 2–3 GenAIOps priorities across development and production environments
• Deliver first production‑ready AI solution
• Establish a repeatable, factory‑like delivery cycle
• Prepare organization for continuous GenAI scaling

Outcomes

• Deployed GenAIOps capabilities in dev and prod
• One completed production‑ready AI solution
• Repeatable AI Factory operating model
• Roadmap for continuous GenAI expansion

Key Deliverables

• GenAIOps Maturity Assessment
• GenAIOps Priority Recommendations
• Proof of Value Use‑Case Selection & Scope
• 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