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Implementation of AI Agents in Business
Get extra hands to work and speed up your business with AI. We automate our clients' processes by deploying AI agents that support day-to-day business management.
What are virtual AI agents?
AI agents are intelligent systems that autonomously analyze data, make decisions, and perform complex tasks. Unlike static workflows, they can react dynamically to changes and carry out creative activities such as content personalization or automatic customer support. The creation of an artificial intelligence agent is used, among others, in customer service, business process automation, marketing, medicine or data management. Learn how virtual AI agents can optimize your operations
The most popular applications of AI agents that we implement
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Benefits from the implementation of AI agents in companies
Autonomous agents — assistance in decision making
AI agents support the decision-making process by providing actionable prompts based on the analysis of big data. Instead of manually searching information, users receive ready-made recommendations, which saves many hours of analytical work.
Intelligent data analysis and acceleration of processes
AI agents analyze data in real time and immediately take action on it, eliminating the need for manual analysis. Thanks to the ability to draw conclusions on their own, they significantly speed up business processes, reducing the time it takes to complete tasks.
Flexible agent operation
Thanks to the implementation of agents, it is possible to carry out complex business processes automatically. A lot of business data is too scattered for its analysis to be effectively automated through traditional workflows. AI agents are great for such cases — they can process large amounts of data from a variety of sources.
Real-time prompt and response agents
AI agents analyze data on an ongoing basis, supporting the decision-making process and enabling rapid response to changing conditions. Thanks to this, they can be used as customer support agents in CRM systems, chats and even in mobile and telephone applications, where immediate response and 24/7 availability count.
Book a free online consultation and see how the use of AI agents can help your business
Free consultationComparison: AI Agents vs. Static Automation (workflow)
Making mistakes
AI Agents
Agents act and learn from data (so-called cognitive agents) and their mistakes (so-called educational agents), so they can avoid repetitive errors. However, problems can arise due to unforeseen scenarios or poor data quality.
Static automation
It takes actions according to strictly programmed rules (if A happens then execute B), so errors are mostly due to inaccurate instructions or unhandled exceptions — often difficult to spot without manual supervision.
Type of activities performed
AI Agents
Learning agents are active — virtual AI agents analyze data in real time, take actions and initiatives. Smart agents are even capable of autonomously making decisions or making recommendations based on data analysis.
Static automation
It works passively — it performs certain tasks only when triggered by a specific trigger, without the ability to make decisions on its own. Static workflow, on the other hand, can perform basic data analysis, consisting of simple information processing.
The cost of automation
AI Agents
Implementing an AI agent in the full sense of these words is up to three times the cost of static automation. Preparing a complete model is a complex process and requires specialized technical knowledge.
Static automation
Easy to implement for both simple and complex processes, in a repeatable environment. Costs vary depending on the level of sophistication of the process.
How do we increase agent efficiency by integrating AI with workflow automation?
The integration of AI with automation significantly increases the effectiveness of the agent, especially when using AI for data analysis and decision making. This makes it possible to create agents that are more flexible and able to respond to changing conditions. Thanks to this approach, we gain a new quality in the design and implementation of processes. Classic workflows are based on well-defined rules and sequences of actions that work well in predictable scenarios. Thanks to the creation of artificial intelligence agents, it becomes possible to automate even those tasks that until now required human intervention. Do you want to create AI agents to automate internal processes? Contact us, we will help you ensure the effectiveness of the agent in your business!
Contact usCase Study
Automation of bidding and customer service with the use of AI Agent
Our client's problem
A customer engaged in the sale of metal components faced serious difficulties in handling a large number of RFQs. The sales department, working in a small team, was not able to quickly process all inquiries, resulting in lost sales opportunities. The problem was both the time consuming preparation of the offer and the need to manually analyze each telephone query. The client wanted to increase the number of offers served by “hiring” an AI agent without increasing the team.
Our solution
We have carried out a complete mapping of the quotation process — from the moment the request is received, right up to the conversion to the order. We focused on identifying the points that generate the greatest time and decision load. We designed the concept of implementing an AI agent supporting query analysis and quote preparation. We proposed to implement a central recording of conversations and their transcripts, which will be analyzed by an AI agent, to support traders in creating notes and quotes.
Solutions introduced by us
Mapping the sales process
Step by step we analyzed the path of the request for quotation — from the impact of the email/form to the sending of the offer. We have identified critical areas that require automation or the application of an AI agent.
Transcripts and analysis of phone calls
We proposed the use of VoIP switchboards to record calls and a tool to automatically create transcripts and summaries, which eliminated the need for manual note-taking.
AI agent preparing a draft offer
At the end of the trade conversation, the AI agent analyzes the data from the Subject, the customer history, the results of the conversation and generates an initial offer for approval by the sales department.
Synchronization of data and classification of customers
We have implemented the concept of combining data from HubSpot, Subject and purchase history, which allows for faster customer qualification and potential assessment without having to manually search the database.
Details of implementation
Deployment time
6 weeks
Time saved
60-80 h per month
Cost of implementation
EUR 11 000
Return on investment
after 5 months
What are voicebots (customer support agents) and how can they support your business?
Voicebot is a kind of AI agent, acting as an intelligent voice assistant. The agent automatically conducts conversations with users in a natural and contextual way. The use of voice agents works well in customer service, hotline automation, service registration or sales support, among others. Unlike traditional IVR systems, voicebot can understand free language. Read our case studies and learn more about the possibilities of deploying AI agents.
Our case studiesDo you want to deploy agents based on AI tools? Book a free consultation!
The future of AI agents in companies is happening today. Write to us and find out how implementing an AI agent will help you automate your business processes.
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