Prepare Your Organization for AI Success
AI is on every executive's agenda, but most organizations aren't ready. Success with AI requires more than tools
—it demands data readiness, infrastructure foundations, skills, and organizational alignment.
IIS helps organizations prepare properly for AI initiatives and build the infrastructure foundation required for
sustainable AI success.
What Customers Are Asking:
"We don't know where to start with AI" Our AI readiness assessment evaluates your current state across
data, infrastructure, skills, and organization—and provides a prioritized roadmap.
"We have data scientists but no platform" We design and implement AI infrastructure using Red Hat
OpenShift AI, giving your data science team an enterprise MLOps platform.
"Our models aren't making it to production" We help you build MLOps pipelines that move models from
experimentation to production reliably and repeatedly.
"Leadership is pushing AI, but we're not ready" We provide honest assessments of readiness gaps and
pragmatic strategies to close them—not hype.
Our Services
AI Readiness Assessment Comprehensive evaluation of your organization's AI maturity across four
dimensions: data readiness, infrastructure foundation, skills and capabilities, and organizational alignment.
AI Infrastructure Design & Implementation Architecture and deployment of AI/ML infrastructure, including
compute, storage, networking, and GPU orchestration designed for AI workloads.
Red Hat OpenShift AI Deployment Implementation of Red Hat's enterprise AI/ML platform, providing a
unified environment for data scientists and application developers.
MLOps Pipeline Development Design and implementation of pipelines for model training, validation,
deployment, and monitoring—bringing DevOps practices to machine learning.
Team Enablement Training for data scientists, ML engineers, and platform operators on AI infrastructure and
MLOps practices.
Ways to Explore
Format How It Helps You Evaluate
Presentations Understand the AI readiness framework, MLOps concepts, and infrastructure requirements
Demonstrations See OpenShift AI capabilities, GPU management, and model serving in action
Workshops Assess your AI maturity and identify infrastructure gaps specific to your environment
The Four Pillars of AI Readiness
Pillar What It Means
Data Readiness Quality data, accessible and governed, ready for training and inference
Infrastructure Foundation Compute, storage, and networking designed for AI workloads
Skills & Capabilities Data science, ML engineering, and platform operations expertise
Organizational Alignment Leadership support, use case prioritization, and change management
Red Hat OpenShift AI
Red Hat OpenShift AI provides an enterprise-grade hybrid AI and MLOps platform for training, serving,
monitoring, and managing the lifecycle of AI/ML models.
Key Capabilities:
Unified platform for data scientists and intelligent application developers
Scalable infrastructure for foundation model workloads
Consistent experience from cloud to edge
Integration with enterprise security and governance
Get Started
Discovery Questions We'll Explore:
What AI initiatives are underway? What's blocking progress?
Do you have the infrastructure foundation to support AI workloads?
Who's going to build and operate the AI platform?
What's the business cost of AI initiatives being delayed another year?
[Schedule AI Readiness Assessment] [Request AI Infrastructure Workshop]
