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AI Enablement

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AI Enablement

We transform AI complexity into a competitive advantage, empowering our clients through breakthrough transformations. A recent MIT survey found that 80% of AI engagements do not lead to a successful ROI.   



Portfolio will work with your team to understand your stated end goals. Our discovery thru go live process will help ensure your AI engagement delivers meaningful returns.

Diagram: Artificial Intelligence with five categories: Agenda & Conversational AI, Predictive Analysis & Decision Intelligence, AI Ops & Self-in-frastructure Optimization, Security & Risk, Industry & Domain Specific.
AI Readiness Assessment diagram: strategic alignment, business impact, data, people, and processes.

Phase 1         

Discovery, Collection, and Data Cleansing and Formatting

AI/ML data preparation engagement: flow chart describing data collection, cleaning, transformation, and validation steps.

Phase 2         

Strategy, Build and Optimize

Diagram illustrating a process with four phases: Consultation, Validation, Build, and Optimization. Each phase lists key steps.

The professional services needed to assemble and complete Phase 1 and 2 will lead to substantial, one time costs.  To help or fully fund these Professional Services, Portfolio and the selected vendor(s) will align you with Funding Partners like Amazon and Microsoft to offset the cost of implementation and contribute spend to your Annual Spend contracts in exchange for standing up your AI solution in an AWS or Azure environment. 

This funding can be allocated to consulting, third-party migration tools, Proof of Concept, Migration, and initial Usage..

 

 

The table below attempts to illustrate the cost, measured in hours, based on the size and complexity for each project phase of an AI Professional Consulting Engagement:

Table comparing project size (Small to X-Large) with stages: Correlation & Strategy, Validation, Build, and Optimization, with related costs and technical outcomes.