See how Red Hawk validated a new cloud-based estimating application to replace a legacy Microsoft Access system using a high-fidelity cli...
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See how Red Hawk used an AI-driven clickable prototype to turn analysts into strategic partners, scaling productivity by 3x.
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See how an enterprise manufacturer validated a secure Azure AI chatbot proof of concept to improve customer service using internal data.
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AI-first discovery replaces spreadsheets and documents with a proof of concept delivered as a clickable prototype. Learn how CEOs use this…
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Prototype approval authorizes investment-but production confidence depends on what happens next. Approving a clickable prototype confirms…
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A clickable prototype isn’t the finish line. Learn the three paths executives take after a prototype and how strong leaders decide what…
Read The Article →The technologies we work with on a regular basis so you don't have to.
A proof of concept is a scoped, working system built to validate a specific technical or business question, such as feasibility, architecture, or workflow fit, before you commit to full production development.
A clickable prototype is one method we use to deliver a proof of concept. It's a high-fidelity, interactive simulation used to validate workflows, requirements, and user experience. Some proof of concept engagements go further and involve a functional working system, such as an AI chatbot built on real data.
Timelines vary by scope and complexity. Clickable prototype engagements are often delivered within weeks. More complex builds typically run longer, depending on data readiness and requirements.
No. A proof of concept validates the right direction before development. A Minimum Viable Product (MVP) is a production application released to real users after that direction has been confirmed.
Once the direction is validated, we help you choose the right delivery model for production, whether that's a managed Software-Development-as-a-Service engagement or a time and materials build, along with code remediation, UAT, and cloud deployment planning.