Rapid AI Proof of Concept

An AI Proof of Concept (PoC) is a preliminary demonstration designed to verify the feasibility of a particular AI solution before a full-scale deployment. It helps determine whether the AI solution meets the business requirements and performs as expected.

RAPoC or Rapid AI Proof of Concept is addaxis.ai’s approach to AI PoCs.

At addaxis.ai we have been helping organisations with AI solutions for more than seven years now.

Rapid AI Proof of Concept (RAPoC) is focused on accelerating the evaluation of AI solutions from ideation to deployment. RAPoC uses a more rapid approach to processes and methodologies to deliver actionable insights in a fraction of the time compared to traditional AI PoCs.

By investing in an AI Proof of Concept with addaxis.ai, you can reduce risks by gaining a better understanding of the practical application of AI solutions. It enables you to evaluate the technical feasibility, identify potential obstacles, and comprehend the anticipated return on investment before committing to more substantial initiatives.

addaxis.ai’s RAPoC offers several benefits, including:

• Speed and Efficiency - accelerated evaluation process, delivering actionable insights quickly.
• Stakeholder Buy-In - Demonstrating tangible results from a PoC can prove the feasibility of your AI idea, fostering confidence in further investment in the project's success​.
• Risk Mitigation - RAPoC allows you to identify and address potential issues early in the AI development process, reducing the risk of costly errors before full-scale implementation.
• Enhanced Decision-Making - A successful PoC provides data-driven insights to support informed decisions about AI adoption.

An AI Proof of Concept is ideal in the following scenarios:

• To test the validity of an AI idea or concept.
• To see if AI can address a specific business challenge.
• To identify potential challenges and technical issues early in the AI development process.
• To reduce the risk associated with full-scale AI implementation.
• To test for different AI outcomes to find the best solution.
• To secure internal buy-in for a larger AI project.
• To validate the feasibility and effectiveness of AI solutions on a smaller scale.
• To avoid unnecessary expenditure on AI projects that may not deliver the expected results.
• To test AI models and algorithms in a controlled environment.
• To ensure your AI models meet the required performance standards and objectives.
• To conduct a successful AI PoC to provide tangible evidence of AI's value.
• To secure buy-in and support from key stakeholders, including executives, and investors.
• To assess the quality and relevance of your existing data to ensure it is suitable for AI.
• To encourage AI experimentation to foster innovation and enable competitive advantage.

Our RAPoC costs vary depending on project complexity, data requirements, and desired turnaround time.

Although the resources required for an AI proof of concept may vary depending on the use case, typically our RAPoC requirements include:

• Expertise: AI specialists, data scientists, and domain experts.
• Data: Access to relevant and quality data.
• Tools and Infrastructure: AI development platforms, computing resources, and software tools.
• Collaboration: Active participation from your team to provide insights and feedback.

While engaged in an AI Proof of Concept project with addaxis.ai, you can expect comprehensive support, including:

• Consultation: Initial discussions to understand your business needs and objectives.
• Development: Hands-on development of the AI prototype.
• Feedback and Iteration: Regular updates and iterations based on your feedback.
• Reporting: Detailed reporting of findings and recommendations for next steps.

Our AI Proof of Concept methodology (RAPoC) is designed for speed. We can provide AI solutions from ideation to deployment faster than traditional PoCs. How long our RAPoC would take to complete your specific proof of concept requirement will depend on many variables and your deployment scheduling.

We adhere to strict data privacy and security protocols to protect your data. This includes secure data handling, encryption, and compliance with relevant regulations and standards. Confidentiality agreements are also put in place to safeguard your proprietary information.

Yes, the addaxis.ai RAPOoC is highly customisable to address unique business challenges and objectives. We work closely with you to tailor the PoC to meet your specific requirements and goals.

To get started, you can contact us to schedule an initial consultation. During this session, we will discuss your business needs, identify potential AI use cases, and outline the next steps for the PoC.

The cost of an addaxis.ai Rapid AI Proof of Concept depends on the complexity of the project, data requirements, and specific business needs. We provide a detailed proposal after the initial consultation, outlining the scope, timeline, and estimated costs.

Yes, you can use your existing data for the AI PoC. We will work with you to assess the quality and relevance of your data and prepare it for use in the PoC.

If you lack data, we can help you with data collection and augmentation. This may include sourcing external data, generating synthetic data, or using data from similar projects.

If the AI Proof of Concept does not achieve the desired results, we conduct a thorough analysis to identify the reasons and provide recommendations for improvement. We work with you to iterate on the solution or explore alternative approaches.

We differentiate ourselves through our extensive experience in AI, a tailored approach to each project, our commitment to data security, and a focus on delivering measurable business value. Our team is dedicated to ensuring the success of your AI initiatives.

After completing the RAPoC, addaxis.ai will provide a detailed report outlining the results, insights, and recommendations. If the PoC is successful, we discuss the roadmap for full-scale implementation, including necessary resources, timelines, and costs.

A successful RAPoC engagement with addaxis.ai will build and test outcomes to provide clear evidence of the potential value of your AI idea, its feasibility and scalability, and what edge it might provide over your competitors.

• It might demonstrate the ability of AI to solve your problem and offer insights into potential ROI.
• The results then inform decisions about a full-scale AI development project.
• A demonstrable outcome of a scalable solution to engage stakeholder buy-in.
• Great innovation, automated success, and a culture thriving on cutting new ways to accelerate business growth.