Integration of Project Lad and digital AI assistant with 1C: Holding Management on the SUEK data model is presented
Customers: Siberian Coal Energy Company (SUEK) Product: Project Lad Second product: Artificial intelligence (AI, Artificial intelligence, AI) Project date: 2024/01 - 2024/07
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2024
Integration of Project Lad and Digital AI Assistant with "1C: Holding Management"
Lad implemented a case of integration of the Project Lad platform and the digital AI assistant with the 1C: Holding Management solution and tested it on the model of these capital construction projects of SUEK Group. Lad representatives announced this on September 30, 2024.
The prerequisite was the customer's need to synchronize data between the areas of finance and capital construction in real time. SUEK Group implements a large volume of construction of industrial and infrastructure facilities. The time interval during which information from Capstroy Management is received by the Finance Division can significantly affect the revision of the project financing schedule. Thus, the main need of the customer was to create a unified digital environment for working with the deadlines and budgets of capital construction.
The solution was implemented through integration1C: Holding management with Project Lad project management platform and digital AI assistant GPTZator, a comprehensive solution for working with generative AI. Data from the target information systems (in particular, 1C) is uploaded to the storage according to the configured schedule. The AI assistant uses the company's data to generate accurate answers to questions from business users.
Create a digital project management model
A SUEK digital project management model constructions based on the system has been created Project Lad to improve forecasting accuracy and minimize risks associated with deadlines and budgets. The company Harmony announced this on August 6, 2024.
A comprehensive solution based on Project Lad systematizes monitoring, helps to quickly generate data from the site and compare them with the basic project plan. Analysis of deviations of planned, actual and forecast data allows the customer to efficiently manage projects. With forecasting and modeling functionality, you can assess the impact of actions on timelines and budgets in real time, reducing management decision cycles and meeting times. The result is the rhythm of the production cycle, reducing the risks of delays in work, increasing efficiency.
Cooperation with Lad allowed us to more efficiently manage projects, quickly analyze data, which significantly accelerated decision-making and improved forecasting accuracy. We are already seeing positive results from the use of the system and are planning further development to improve the management of our facilities, noted the Deputy Chief information officer of SUEK Andrey Sankov.
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