How to conduct a pilot effectively

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sadiksojib35
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Joined: Tue Jan 07, 2025 4:38 am

How to conduct a pilot effectively

Post by sadiksojib35 »

Define the pilot project boundaries. When implementing a pilot, it is important to keep the entire project in focus, but at the same time clearly understand what individual business processes it consists of. This is necessary to define the boundaries of the pilot project and the scope of functionality that will be implemented at this stage.

The main task is to select a part of the main project oman telegram database where the team can demonstrate the maximum efficiency of the AI ​​solution with minimal costs and risks, and compare the results with the current approach to the process. Therefore, the pilot's boundaries will depend heavily on the specifics of the company and the problem at hand.

A practical example: the customer is a large manufacturing company that regularly checks contracts with suppliers for risks and compliance with internal checklists. For example, for the presence of clauses and penalties. But the company decided to implement AI to relieve lawyers of the routine work of proofreading documents. At the pilot planning stage, it was revealed that the company has only 10 types of contracts and about 50 types of risks, and a specialist spends an average of 45 minutes checking one contract. Since each risk is a separate model with a fixed cost of development and training, one type of contract with 15 risks can be selected as a pilot project limitation. This will allow demonstrating the capabilities of the tool and evaluating it.

Define key metrics. The main indicator of success is the company's achievement of the set tasks. Before the start of the pilot, it is important to agree on the criteria by which the successful completion of the project will be assessed and a decision will be made on its scaling.

Metrics can vary widely depending on the specifics of the solution, but taken together they should reflect the overall effectiveness of the proposed changes.

In addition to the metrics for evaluating the performance of intelligent models - accuracy, completeness, etc. - it is important to consider the metrics of changing the business process in comparison with the current approach. These may be labor costs, time to build a process, the percentage of errors. The combination of these metrics will allow you to calculate the economic efficiency of implementation and take into account the entire cumulative effect.
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