AI is not a one-click solution—it’s a long-term strategy that demands clarity, leadership, and governance.

Adopting AI isn’t just about chasing trends—it’s about reshaping how your business operates and competes. IMG Solutions partners with you to assess readiness, define an AI vision, plan responsibly, and ensure your approach meets critical benchmarks in compliance, cost-benefit, and risk management.

Companies That Adopt AI Will Stay Competitive, while those that don’t will struggle to meet rising consumer expectations. Businesses need to adopt a high-level, strategic approach to AI because it’s not just about automating tasks; it’s about fundamentally changing how they operate, innovate, and compete. A comprehensive AI strategy can unlock significant efficiency gains, enhance decision-making, and drive innovation across various business functions. Much like the advent of cloud, AI is not something that will be solved and implemented overnight. However, if your business isn’t inquiring about AI, assessing & discussing potential benefits and needs of using AI – then you are already behind in the marketplace.

However, if you’ve started the journey into AI, make sure you’re working with experts that can guide you on Compliance and Governance. The increasing reliance on AI-powered systems raises critical concerns regarding data governance—particularly in terms of privacy, security, bias mitigation, and regulatory compliance. Proper AI data governance is essential to ensuring responsible adoption while maintaining customer trust.

AI Strategy & Planning 

  • Strategy/Vision Discovery & Design

  • Technology Stack & Readiness Assessment

  • AI System Feasibility Check

  • Business Assessment & AI Benefit/Cost Analysis

  • AI Roadmap Creation for Adoption

  • Proof-of-Concept (PoC)

    • Testing, feasibility and potential of AI solutions for specific business problems

  • Compute Power Assessment & Planning

  • Architecture Review & Assessment

  • AI Risk Assessment

  • Compliance & Governance Planning

AI Design & Development

  • Architecture & Project Design

  • Problem Scoping

  • Data Governance Design

  • Data Acquisition & Storage Design

  • AI Modeling & Development

  • Algorithm Development

  • Compliance & Governance Design

AI Infrastructure & Machine Learning

  • Infrastructure Planning

    • Determining hardware, software, & cloud resources needed

  • Data Management Assessment

    • Quality, quantity, & accessibility of data needed for models

  • Infrastructure Engineering

    • Hardware, servers, data centers

  • Software Engineering

    • Software, cloud platforms, applications

  • Data Management

    • Collecting, storing, & managing data

  • Algorithm Modeling & Development

  • AI-Powered Chatbots & Intelligent Assistants

  • AI-Driven Applications

AI Project Management, Implementation & Integration

  • Project/Program execution & rollout

  • Supplemental Project Support

    • Tiger teams, individual resources

  • System Integration

  • Continuous Integration & Deployment

  • Automation & Machine Learning Implementation

AI Resources

  • Key Language Engineers

    • Python, Java, C++, R, Julia, Haskel, Prolog, Scala, etc.

  • Data Scientists

    • design, validation, modeling, data storage, management systems, etc.

  • Machine Learning Engineers & Algorithms Specialists

  • Compute Power Specialists

  • Infrastructure Engineers

    • Hardware, servers, data centers, etc.

  • Infrastructure Software Engineers

    • Cloud platforms, applications, etc.

  • Data Infrastructure Engineers

    • Systems and processes for managing, storing and integrating data including data quality, governance & integration

  • Natural Language Processing (NLP) Engineers

  • Compliance & Governance Experts

OTHER AREAS OF EXPERTISE