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Artificial Intelligence (AI) in business - practical applications and implementations

AI is not just ChatGPT. See how to securely implement algorithms and LLM models (AI) in your company to surpass the competition.

Wojtek Kowalczyk - AI Expert6 kwietnia 20267 min czytania

Artificial Intelligence - a new era of business operations

Most companies still treat the development of Artificial Intelligence (AI) as a gadget. However, the truth is brutal: organizations that don't start implementing intelligent algorithms for data analysis and customer service today will lose tremendous ground to the market in two years.

How to use LLM models locally?

Our models so far are successfully introducing revolutions using features such as:

  • Intelligent Lead Scoring AI - the algorithm analyzes hundreds of messages from clients and independently decides which ones are the most important.
  • Assistant in the ERP Ecosystem - instead of browsing 15 financial tables, you ask the bot: "What was the margin in Q3 on products from Europe?" and get a generated answer with a chart.
  • Semi-automatic Support - first-line support entirely run by algorithms trained on the profile and past cases (tickets) of your company.

Where to start AI implementation?

You don't have to build your own neural network for hundreds of thousands of dollars right away! At SyncPartner, we start by integrating your current environment (e.g., Bitrix24) with a dedicated application connected via API to powerful generic models (e.g., OpenAI, Claude).

Implementation takes less time, is relatively cheaper, and your team instantly reclaims dozens of hours previously spent on monotonous work.

Ready for evolution? Write to us to hear completely unconventional, 100% tailored ideas for your industry!

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