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

AI Transformation Offers

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.

Related AI Transformation Offers

AI Center of Excellence (CoE) & Solution Envisioning
Establish a scalable AI foundation by defining your AI CoE, prioritizing high-value use cases, and creating a clear adoption roadmap using Microsoft’s Common Envisioning Framework and Azure AI best practices.
Learn more

AI Foundation Architecture
Design and deploy a secure, scalable Azure AI foundation aligned with Microsoft reference architectures, responsible AI principles, and enterprise security standards.
Learn more

Elastic Services - US Federal (Cloud Only): Designated Support Engineer

Elastic

詳細