IngramMicro

AI Strategy & Governance

Enterprise AI Transformation Infrastructure Strategy

Create an AI Infrastructure Strategy Built for Enterprise Transformation

AI • AI transformation infrastructure

The Enterprise Challenge

AI initiatives lacking infrastructure strategy

Core Promise

Align infrastructure modernization with enterprise AI transformation

Service Angle

Executive AI infrastructure advisory

Enterprise Use Case

Enterprise-wide AI transformation initiatives

Competitive Positioning

Strategic execution-oriented AI modernization partner

CEO; CIO; CTO
Informational
Awareness
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10–100 Employees

AI-Ready SMB Technology Stack
  • Microsoft 365 Business Premium + Microsoft Copilot
  • AI-Secure Email & Collaboration (Defender for Office 365)
  • Endpoint Detection & Response (EDR/XDR) with 24x7 SOC Monitoring
  • Identity Protection + MFA + Conditional Access (Zero Trust)
  • Password Vault + Privileged Access Management (PAM)
  • Automated Backup & Disaster Recovery for Microsoft 365 + Servers
  • AI-Optimized PCs (16–32GB RAM, NPUs, SSDs, Windows 11 Pro)
  • Centralized Device Management (Intune/RMM)
  • Secure Cloud File Storage & Governance (SharePoint/OneDrive)
  • AI-Powered Help Desk & Workflow Automation (Power Automate/AI Agents)
AI-Ready SMB Technology Stack
  • Business Intelligence Dashboards (Power BI/Fabric Starter)
  • Network Security Upgrades (Next-Gen Firewall, Secure Wi-Fi, SD-WAN Lite)
  • Network Security Upgrades (Next-Gen Firewall, Secure Wi-Fi, SD-WAN Lite)
  • Security Awareness & Anti-Phishing Training
  • AI Governance Policies for Employees & Third-Party AI Tools
  • Cloud-Based Line-of-Business Applications & SaaS Consolidation
  • Vendor/SaaS License Optimization & Shadow IT Reduction
  • Business Continuity Planning + Cyber Insurance Readiness
  • Quarterly Vulnerability Assessments & Security Reviews
  • AI Readiness Assessments for Productivity, Operations & Customer Service

100–1000 Employees

Enterprise AI-First Modernization Stack
  • Microsoft 365 E5 + Enterprise Copilot Deployment Strategy
  • Enterprise Data Governance & Classification (Microsoft Purview)
  • Security Operations Center (SOC) + SIEM/SOAR (Microsoft Sentinel)
  • Extended Detection & Response (XDR) Across Endpoints, Email & Cloud
  • Zero Trust Architecture with Identity Segmentation & Conditional Access
  • AI-Optimized Endpoint Refresh Program (Copilot+ PCs / AI Workstations)
  • Hybrid Cloud Infrastructure Modernization (Azure/AWS/Private Cloud)
  • Secure SD-WAN/SASE Networking for Remote & Hybrid Workforce
  • Enterprise Backup, Immutable Storage & Ransomware Recovery
  • AI Data Platform (Microsoft Fabric, Snowflake or Databricks)
  • Enterprise Business Intelligence & Predictive Analytics (Power BI/Fabric)
  • API Integration & Workflow Automation (Workato/Boomi/Power Platform)
  • AI Knowledge Management & Enterprise Search
  • Governance for Generative AI Usage, Privacy & Compliance
  • Data Lifecycle Management & Retention Policies
Enterprise AI-First Modernization Stack
  • Privileged Access Management (PAM) + Identity Threat Detection
  • DevSecOps & Cloud Security Posture Management (CSPM)
  • AI-Assisted Customer Service & Internal Support Agents
  • Security Compliance Frameworks (NIST, CIS-18, SOC2, CMMC, HIPAA)
  • Continuous Penetration Testing & Vulnerability Management
  • Executive AI Strategy Dashboard for CXOs & Board Reporting
  • AI Workforce Enablement & Employee Training Programs
  • Data Warehouse Consolidation & Legacy Application Modernization
  • AI-Powered Forecasting for Finance, Operations & Customer Experience
  • Governance Around AI Models, Data Ownership & Regulatory Risk
  • Next-Generation Collaboration Rooms & Smart Meeting Systems
  • Operational Resilience Planning for Cybersecurity & AI Dependency
  • Outsourced AI Security Monitoring & Managed Detection Response (MDR)
  • AI Automation for Finance, HR, Compliance & IT Operations
  • Enterprise-Wide AI Transformation Roadmap with ROI Measurement

Foundational control

Advanced control

  • Approved Business AI Platform
  • Gives employees a secure AI option instead of forcing them toward random consumer tools.
  • AI Email and Phishing Security
  • Protects against AI-enhanced phishing, impersonation, credential theft.
  • Endpoint Security
  • Secures the devices employees use to access AI tools, business systems, and sensitive company data.
  • AI Agent Security
  • Controls AI agents, phone agents, chat agents.
  • Logging and Monitoring
  • Provides visibility into AI use, data movement, file access, AI agent activity, and unusual behavior.
  • Incident Response for AI
  • Establishes a practical response plan for AI-related incidents before they become customer, legal, or regulatory issues.
  • AI Security Training
  • Trains employees on safe AI use, prohibited data sharing, AI phishing, prompt safety, reporting, and file handling.
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Domain 1

AI Strategy & Executive Sponsorship

Domain 1

AI Use-Case Identification & Prioritization

Domain 1

AI Risk Classification Framework

Domain 1

AI Governance & Operating Model

Domain 1

AI Workforce Enablement & Training

Domain 2
infrastructure

AI-Ready Infrastructure

Domain 2
infrastructure

AI-Ready Software Ecosystem

Domain 2
infrastructure

Data Ingestion & Data Pipelines

Domain 2
infrastructure

Data Foundation (Warehouse / Lakehouse)

Domain 2
infrastructure

Data Governance & Data Quality Controls

Domain 3

AI Knowledge Base (Vector Database)

Domain 3

Prompt Governance & Prompt Library

Domain 3

Model Strategy & Model Selection

Domain 3

Model Registry & Model Catalog

Domain 3

AI Lifecycle Management (LLMOps / MLOps)

Domain 4

AI Conversational Systems (Voice & Chat)

Domain 4

AI Workflow Automation

Domain 4

Integration & Automation Layer (iPaaS / APIs)

Domain 4

Agent Orchestration & Control Plane

Domain 4

Human-in-the-Loop Oversight

Domain 5

AI Identity & Access Management

Domain 5

AI Security (Prompt & Agent Security)

Domain 5

AI Compliance & Shadow-AI Detection

Domain 5

AI Observability & Performance Monitoring

Domain 5

AI ROI & Business Impact Measurement

Foundation Layer

Execution Layer

Control Layer

Optimization Layer