Many organisations are considering the value of generative AI in their business. But how do you know if they will deliver?

An Artificial Intelligence PoC turns your concept into reality, without a major investment.

Business leaders are aware of the potential of AI. But moving from a theory to an operational system is a big leap. Are you sure of the business benefits? Do you fully understand issues like privacy, accuracy and training?
 
Our service allows you to try AI but without a major investment. The objective is to quickly mobilise an AI/ML PoC solution, give it a try, find that it works and then approve it to be delivered into a full solution. If it does work, then you have spend a minimal amount of time and money.
 
Whats more, some large AI providers are so keen to sell AI, they will part fund proof of concepts. So the cost may be very small indeed.

An Artificial Intelligence PoC is the effective, low-cost option for organisations looking to make a calculated decision about AI.

The intention is to develop the solution sufficiently to evaluate it's potential. For example, it won't include all of your branding, data, colour schemes or other unique details. The purpose is to try AI quickly and at a low cost - in order to evaluate it.
 
Your AI/ML PoC can be built fast and at a low cost. The exact cost will depend on the type and scale of the project.
 
Many LLU providers such as Microsoft and AWS are very keen to add new customers - as a result they are willing to fund, or part fund, proof of concepts.
Risk Reduction

An Artificial Intelligence PoC reduces risk by providing an early evaluation of AI technologies in a controlled environment, allowing for the identification and mitigation of potential technical and functional issues before full-scale implementation. Additionally, it enables stakeholders to assess the feasibility and effectiveness of AI solutions in addressing specific business challenges, thus minimising the risk of investing resources into solutions that may not meet their needs.

Resource Optimisation

An Artificial Intelligence PoC optimises resources by allowing for targeted experimentation and validation of AI technologies, ensuring that resources are allocated efficiently towards solutions that demonstrate the most promise. Through focused testing and iterative refinement, potential inefficiencies or redundancies can be identified and addressed early in the development process, enabling organisations to make informed decisions about resource allocation and investment in AI and ML initiatives.

Confidence Boost

An Artificial Intelligence PoC boosts confidence by providing tangible evidence of the potential value and effectiveness of AI technologies in addressing specific business challenges. By demonstrating successful outcomes in a controlled environment, stakeholders gain confidence in the feasibility and viability of AI solutions, leading to greater buy-in and support for further investment and implementation. Additionally, the iterative nature of the proof of concept process allows for continuous improvement and refinement, further enhancing confidence in the ability of AI, ML and similar technologies to deliver meaningful results for the organisation.

Market Validation
An Artificial Intelligence PoC validates the market by providing empirical evidence of the demand and potential impact of AI solutions within specific industries or sectors. Through targeted testing and validation of AI technologies in real-world scenarios, organisations can gauge market receptiveness and identify potential opportunities for innovation and differentiation. By demonstrating the feasibility and effectiveness of an AI/ML PoC in addressing market needs and challenges, stakeholders gain confidence in the viability of AI investments, paving the way for further market exploration and expansion of AI or ML initiatives.
Standard Compliance Assurance

An Artificial Intelligence PoC assures standard compliance by incorporating relevant regulations and industry standards into the design and testing process. By adhering to established guidelines and best practices, organisations can ensure that their AI solutions meet legal and regulatory requirements, as well as industry-specific standards for data privacy, security, and ethics. Through rigorous testing and validation, any potential compliance issues can be identified and addressed early from an AI/ML PoC, minimising the risk of non-compliance and ensuring that AI initiatives align with industry norms and expectations.

Cost Reduction

An Artificial Intelligence PoC reduces costs by allowing organisations to assess the feasibility and effectiveness of AI solutions in addressing specific business challenges before committing to full-scale implementation. Through targeted experimentation and validation, potential inefficiencies or redundancies can be identified and addressed early in the development process, minimising the risk of investing resources into solutions that may not meet their needs. Additionally, by demonstrating successful outcomes in a controlled environment, stakeholders gain confidence in the potential value of AI technologies, leading to greater buy-in and support for further investment in AI initiatives. Overall, the iterative nature of the AI/ML PoC process enables organisations to optimise resource allocation and make informed decisions about where to invest their AI budgets, ultimately reducing costs and maximising return on investment.

Roadmap Provision
An Artificial Intelligence PoC provides a roadmap by offering a structured approach to testing and validating AI technologies in a controlled environment. Through targeted experimentation and iterative refinement, organisations gain valuable insights into the feasibility and effectiveness of AI solutions in addressing specific business challenges. By documenting the findings and outcomes of the proof of concept process, stakeholders can develop a clear understanding of the potential value and impact of AI technologies within their organisation. This information serves as a roadmap for future AI initiatives, guiding decision-making and resource allocation towards solutions that demonstrate the most promise and align with strategic objectives. Additionally, the iterative nature of the proof of concept process allows for continuous improvement and refinement, enabling organisations to evolve their AI strategies over time in response to changing business needs and market dynamics.

“An Artificial Intelligence PoC is the compass that guides you through the uncharted territories of innovation. It’s not just about ideas; it’s about making ideas happen.”

Craig Robinson

CEO, StableLogic

The Process

Our approach involves thorough analysis of client needs, careful selection of relevant data sets, and rigorous testing of AI algorithms. Through iterative development and refinement, we deliver AI/ML PoCs that provide tangible insights and demonstrate the potential value of AI solutions in addressing specific business challenges.
ai ml poc

What are the benefits of an AI/ML PoC?

Very little investment.

Without developing a fully-fledged tool, the Proof of Concept is quick to build and incurs far less cost.

Test AI's benefits.

Get a detailed preview of how AI can accelerate every area of your business, with proven examples.

Try new approaches.

Your PoC is flexible, giving you freedom to try different approaches to implementing AI in your business.

Prove business case.

Demonstrate the value of AI without taking the plunge financially.

Connect with the StableLogic AI team.

 


 

Sajid Rasool
Sajid Rasool

Data Analyst

Joel Barnett
Joel Barnett

Lead Consultant

Oscar Zhang
Oscar Zhang

Product Manager

⸻  FAQs 

What is an Artificial Intelligence PoC?

An Artificial Intelligence PoC is a structured approach to testing and validating artificial intelligence (AI) technologies in a controlled environment. It involves the development and implementation of a small-scale AI solution to demonstrate its feasibility and effectiveness in addressing specific business challenges.

By conducting a proof of concept, organisations can evaluate the potential value of AI technologies, assess their compatibility with existing systems and processes, and gain insights into the potential benefits and limitations of AI adoption. Ultimately, an AI/ML PoC serves as a critical first step in the AI implementation journey, providing valuable evidence and guidance for future AI initiatives.

How long does an AI or ML PoC take?

The duration of an Artificial Intelligence PoC varies depending on the complexity of the project, the availability of data, and the specific objectives. Typically, an AI or ML PoC can range from a few weeks to a few months. During this time, our team at StableLogic meticulously develops and tests the AI solution, iteratively refining it to ensure its effectiveness in addressing the specified business challenges.

We work closely with our clients to ensure alignment with their objectives and provide regular updates on progress throughout the process. By adhering to rigorous methodologies and best practices, we strive to deliver high-quality AI Proof of Concepts within the agreed timeframe, enabling our clients to make informed decisions about future AI initiatives.

How much does an Artificial Intelligence PoC cost?

The cost of an Artificial Intelligence PoC can vary depending on factors such as the complexity of the project, the scope of work, and the specific requirements of the client. At StableLogic, we offer bespoke AI/ML PoC services tailored to meet the unique needs of each organisation. Our pricing is transparent and based on a thorough assessment of the project requirements.

We develop a detailed proposal outlining the scope of work, deliverables, and associated costs. By leveraging our expertise and industry knowledge, we strive to deliver cost-effective Artificial Intelligence PoCs that provide tangible value and insights for our clients.