Typically, AI integration is an investment project that will generate profits in the future. Due to the specifics of some projects, it may be difficult to accurately calculate the return on investment (ROI), but it will demonstrate how justified the investment in product development is.
For example, in the case of contract verification in a oman telegram database large company discussed above, the metrics for assessing the success of the pilot project could be: reduction in the time to verify one contract, time to develop and train 15 risk models, expected ROI for five years. Based on the results of the pilot, participants will be able to calculate the costs and expected effect and decide on further scaling of the project.
Engage stakeholders. Engaging stakeholders will help gather feedback on the system being implemented and ensure broad support for AI integration in the future.
The company must have a leader who is interested in creating a solution and is able to formulate a business request and then evaluate the results. It is also important to distribute roles within the team and define areas of responsibility. As a rule, stakeholders from the business side are:
technical customer responsible for implementing the solution and monitoring the technical part of the implementation;
budget owner responsible for the financial aspects of the project.
Collect feedback and analyze. At the pilot stage, it is important to record and analyze the difficulties the team faces when implementing the solution. Constantly collecting feedback from all stakeholders — end users, staff, the customer — will help make a decision on scaling the project and further investments in technology, as well as identify problems and make the necessary adjustments before implementation. For example, refine the concept, change the functionality, plan staff training.
Last year, Rosleskhoz launched a pilot project of an AI-based system for automating tree movement control in Perm Krai. The experiment allowed the working group to confirm the effectiveness of the technology and identify key areas for further work: additional training of algorithms and dissemination of the program throughout Russia.
Conclusion
Conducting a pilot before full-scale AI implementation is a strategic, informed approach that enables informed decision making and reduces risk. Pilots can help companies reduce risk and pave the way for successful full-scale implementation.
Functional customer the target audience
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