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MVE for AI

Enter AI with Clarity. Experiment with Purpose.

Minimum Viable Experiment (MVE):

Launch your AI journey with confidence using a structured, low-risk experiment that delivers measurable business value.

Why MVE for AI

AI isn’t just a trend. It’s a transformation. Yet many organizations hesitate due to complexity, uncertainty, or lack of clarity.

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Phidiax helps break through that inertia. With our Minimal Viable Experiment for AI, you can explore the power of Agentic AI, Generative AI, Predictive Analytics, and Microsoft 365 Copilot integration in a fast, safe, and structured way. Whether you're AI-curious or ready to build autonomous systems, we help you get started the right way with minimal risk and maximum insight.

What Is the Minimal Viable Experiment for AI?

Behind the MVE approach is Phidiax’s proprietary AI-driven framework. It is designed to reduce ambiguity, accelerate design cycles, and ensure measurable outcomes. Our team leverages these internal tools and methods to guide each client through a repeatable, high-impact discovery process.

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The Minimal Viable Experiment is a facilitated, architect-led engagement that helps your organization frame, test, and validate an AI use case aligned to real business goals.

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Delivered in weeks, not months. It combines business strategy, technical design, and hands-on experimentation to explore and validate where AI can deliver measurable value.

Ideal Use Cases

  • Automating repetitive decisions with Agentic AI

  • Evaluating Microsoft 365 Copilot’s impact on productivity

  • Enhancing document processing with generative AI

  • Prototyping multi-agent AI workflows

  • Testing NLP, summarization, or classification use cases

The MVE Process

Discovery & Framing

We align on goals, assess readiness, and prioritize where AI can drive value.

Hypothesis & Success Metrics

Together, we define what we’re testing and what success looks like, ensuring business relevance.

Experiment Design & Execution

Our team builds a targeted prototype using Microsoft AI platforms to test the hypothesis.

Results, Artifacts & Roadmap

You receive a full report of findings, code artifacts, and a roadmap for scaling or pivoting.

Deliverables

  • Experiment Documentation

  • Executive Summary

  • Experiment Artifacts

  • Adoption Roadmap

  • Knowledge Transfer Session

Business Outcomes

  • Clarity on AI readiness and value

  • Validated ideas with measurable impact

  • Faster time-to-value for AI investments

  • Risk mitigation through limited scope experimentation

  • Tools and knowledge to scale AI independently

Ready to Explore AI with Confidence?

Let’s define your path to intelligent automation, one experiment at a time.

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