Why Do You Need It?
Discover the full potential of your prototypes and demos. The audit shows you the next steps to get even better results.
You've developed a promising prototype, proof of concept, or local demo. Now it is time to act wider and productize your solution. The next step is stability and scalability.
AI & Data Audit helps you elevate your solution. It can be:
- scaling up. You go from a single-user demo, to a company-wide program.
- expanding the scope. You will go from supporting a few use cases to covering them all.
- automating. You will go from using only partial and local data to a fully automated data processing.
- improving performance, speed, accuracy of your final results
- migration. Your solution will be deployed in the cloud, making it easily accessible to everyone.
What Does It Look Like?
The AI & Data Audit starts with a comprehensive analysis. Our goal is to fully understand your current prototype, demo, model or any other solution you may have.
It’s divided into:
Process Overview
We analyze your problem. Here we take a look at how you are currently managing it, how employees perceive and deal with it. We also review the previous attempts to solve your problem.
Process Analysis
We analyze the entire workflow to see the full scope. From the beginning to the final output. We examine what actions have to happen before you can productize your prototype. We investigate what works and what does not work. Here we also conduct numerous interviews to discover what bothers you.
Solution Analysis
We dig deep into the way your demo, prototype or model works. It starts with a code review, but goes beyond that. We reconstruct the entire process and the environment in which the solution works. We interview people involved in creating the solution. This is the time for getting a full understanding.
Who Participates?
The AI & Data Audit starts with a comprehensive analysis. The goal is to fully understand your current prototype, demo, model or any other solution you may have.
Our aim is to investigate your current solution and discover how to improve its stability and scalability.
For that we engage certain groups of people:
- Project Manager: The person responsible for delivering a successful solution to your problem.
- Domain Experts: People responsible for and involved in solution development. This can include Analysts, Data Scientists, R&D team etc.
- Initiators and Consumers: Stakeholders who provide initial input (like data sources), use the solution and offer insights into its practical applications.
What Are the Expected Outcomes?
Thanks to the gathered information, our experts prepare the final report. It documents discovered problems and areas of improvement. We share it in advance, before the closing workshops concluding the audit.
The results and final workshops help you assess noticed problems. With the comprehensive list, you know which areas to focus on first. Knowing the priorities, we draft a detailed project proposition that will deliver what you need.
If the use case is not feasible, we will present a strategy to change it. The goal is to reach a state where its implementation is possible in the future. That typically includes actions like adjusting processes or implementing new infrastructure.