SOLUTIONS

SMX Intelligence Adoption Framework (IAF)

Redefining process, intelligence, and decision-making

With the rapid rise of AI, organizations are seeking ways to adopt and capitalize on the immense opportunities AI could create. The hype is real – but the task of transforming existing organizational platforms and processes to be AI-ready is monumental. When only 5% of existing data is ready for AI, the path to positive returns on investment is daunting.

With the SMX Intelligence Adoption Framework (IAF), you can plan, develop, implement, and optimize your AI services so that your AI solutions feel like assets, not burdens.

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AI Solutions for Accelerated Growth

Strategize

SMX FAST for AI™

Establish AI as a secure and scalable enterprise capability. SMX FAST for AI helps organizations assess readiness, define strategy, prioritize high-value use cases, establish governance, and build the operational foundation for trusted and scalable AI adoption.
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Migrate

SMX Intelligence Factory™

Transform AI experimentation into a repeatable enterprise capability. SMX Intelligence Factory provides processes and tools for organizations to design, train, tune, validate, deploy, integrate, and scale AI solutions across business operations using our unique Product + Scaled Agile + Automated CI/CD Approach.

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Manage

SMX AI Optimizer™

As your AI strategy evolves, adopting multiple models and agents is inevitable. SMX helps you prepare now with infrastructure designed for complexity. Our platform delivers secure environments that eliminate data leakage risks, trusted data sources that minimize hallucinations, and unified control through SMX’s AI Optimizer™ and CFO Control Tower™—giving you a single pane of glass to optimize both model performance and costs.

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SMX FAST for AI™

Positioning AI as a Strategic Enterprise Asset

Define clear AI vision and success metrics, then assess your operating models, organizational structure, and data readiness for enterprise-scale adoption.

  1. Create AI roadmaps aligned with business vision
  2. Conduct organizational data and readiness assessments
  3. Develop operating models aligned to AI maturity and adoption benchmarks

Identify the most suitable platforms, models, and agents to meet organizational objectives

  1. Use decision frameworks for platform selection
  2. Design multi-agent architectures and autonomous systems
  3. Identify best-fit models for targeted use cases

Design an operating model that secures data and enables seamless human and AI collaboration

  1. Define governance ownership and collaboration workflows
  2. Conduct AI-specific threat landscape assessments
  3. Align platform and human workflows

Develop financial operations optimized for the unique dynamics of AI costs

  1. Analyze Total Cost of Ownership (TCO)
  2. Optimize resource utilization and licensing
  3. Address agent sprawl and operational inefficiencies

Identify critical skills gaps and create targeted development plans to address them

  1. Identify skill gaps and training needs
  2. Develop targeted training strategies
  3. Build proficiency in emerging AI technologies

Accelerate Your Mission with Scalable, Automation-Driven Solutions

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SMX Intelligence Factory™

Rapidly Deploy Models to Market

Assess readiness with use case, data, and compliance evaluations

  1. Perform use case inventory
  2. Conduct data readiness evaluations
  3. Analyze use case feasibility and alignment
  4. Address legal, compliance, and ethical considerations

Prioritize use cases by aligning business value and technical feasibility

  1. Assess business value and ROI
  2. Align stakeholders through prioritization workshops
  3. Apply WSJF and data-driven frameworks

Deploy scalable models with automation, frameworks, and reusable components

  1. Build on Industry-Leading Platforms: AWS, Azure, C3.ai, and Frontier
  2. Implement standardized CI/CD pipelines
  3. Develop and reuse modular code
  4. Automate model testing and validation

Monitor, retrain, and govern AI systems for sustained performance

  1. Conduct proactive monitoring and drift detection
  2. Employ continuous model retraining
  3. Develop performance metrics dashboards
  4. Ensure traceability and compliance

Customers & Partners

SMX AI Optimizer™

Automate Your AI Ops and Security

Provision scalable, pre-configured AI environments with self-service capabilities and seamless integration

  1. Provision pre-configured AI environments: AWS, Azure, C3.ai, Frontier
  2. Enable self-service environment creation
  3. Automate governance with policy-as-code controls
  4. Deliver scalable cloud resources
  5. Integrate with data sources and model repositories

Automate platform management and optimize multi-cloud, multi-model AI operations

  1. Perform platform maintenance and upgrades
  2. Optimize resource usage across cloud providers
  3. Manage multi-cloud AI platforms
  4. Support multi-agent and multi-model environments

Continuously monitor AI pipeline health and security, detect anomalies and threats, and provide performance insights with governance controls

  1. Monitor operational health of AI pipelines
  2. Track resource utilization and model performance
  3. Detect drift, latency, and anomalies in pipelines
  4. Log and alert for ML pipelines
  5. Monitor access controls, detect security threats, and enforce governance policies

Ensure secure AI operations with continuous compliance, threat detection, and role-based controls

  1. Ensure continuous ATO compliance
  2. Apply security updates for all AI components
  3. Detect Enterprise-level threats across operations, models, agents, and pipelines
  4. Implement RBAC and encryption standards

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Wherever you are on your transformation journey, SMX can help you get there faster and more effectively.


Contact us to learn more.