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Proof of Concept (POC) Credits Guidance

Proof of Concept (POC) Credits Guidance

Innovation Without Uncertainty

Proof of Concept testing

Test Before You Invest: Validate Solutions with Confidence.

Innovation involves risk—but that risk shouldn’t be spending a lot of budget flushing it down the toilet on solutions that possibly might or might not work for your specific use case. Too many organizations either don’t attempt new technology at all or spend large amounts of resources based on vendor demonstrations and marketing brochures, only to find out later that the solution doesn’t fit their needs when being put into production.

Our POC guidance service gives you a structured, low-risk environment to test new AWS services and design patterns. With the assistance of AWS credits and our technical know-how, you can get real proof of what will be successful for your business before investing large sums of money.

Our Guided Step-by-Step POC Approach:

POC Scope Definition & Success Criteria

Clear business and technical objectives defined to deliver actionable insights beyond technical experimentation.

AWS Credits Strategy & Procurement Support

Guidance on acquiring and optimally utilizing AWS Promotional Credits to maximize learning value and compliance.

Architecture Design & Implementation

POC environment mirrors production needs (scaled appropriately) for projecting real-world, valuable results.

Complete Testing & Data Collection

Monitoring and data collection from the start measuring performance, cost, operational requirements, and user feedback.

Business Case Development & Recommendation

Thorough analysis with TCO, timeline, performance, and go/no-go decision guidance for informed investments.

Business evaluation

Validation Before Investment:

“Their POC guidance helped us validate whether Amazon SageMaker was the right ML platform for our needs. The structured approach saved us from making a $50,000 mistake and instead helped us confidently invest in a solution that delivered exactly what we needed.”

– Head of Data Science, Retail Analytics Company