The fight for efficiency:
monotonous tasks (for example. parsing tenders to generate trends and improve procurement efficiency).
– The introduction of large language models (LLM) for document analysis has reduced the time for preparing tender applications by 30-40%.
This trend confirms that businesses are moving from experiments to industrial implementation of AI. where the key factors are the speed of integration and ROI (an indicator that reflects the profitability or return on investment in the business).
Vera Kraevskaya. CEO of VisionService LLC. confirmed that the demand for AI assistants has grown. and in her opinion. this was expected. “Over the past year. the market has learned to work with artificial intelligence. Mature solutions have emerged that can be implemented not in theory. but here and now. It is especially important that the technologies have become safe for business: increasingly. AI works within the company’s perimeter. without the risk of leaking sensitive data.” she noted.
According to Alexander Krushinsky.
Director of the Voice Digital Technologies Department at BSS LLC. the growth rate of orders in the corporate segment for AI assistants in 2024 remained at the level of previous years. “In this segment. we are seeing more like 30-40% annual growth. Perhaps the sevenfold growth on the platform occurred phone number database due to small pilot projects related to testing generative artificial intelligence.” Alexander Krushinsky suggested.
Senior developer of artificial intelligence systems at Innostage. Alexander Lebedev. emphasized that the demand for A for the design of your I assistants has been growing in the last few years. because such assistants cover many business pain points: ”
First of all. this is the automation
of human labor. Instead of dozens of call center employees. you can use an assistant who will handle typical requests and relieve the first line of support. Instead of technical
support specialists and hundreds of pages of documentation inside large technology companies – an assistant who helps dating data employees without involving a person. Automation of document flow. accounting. marketing. internal and external communications – AI helps businesses in all these areas. In addition. over the past year. large language models on which AI assistants work have become cheaper. smarter and more functional due to new technologies. huge investments and increased competition.”