{"id":2484,"date":"2026-10-12T09:14:56","date_gmt":"2026-10-12T07:14:56","guid":{"rendered":"https:\/\/jsoncrew.com\/?p=2484"},"modified":"2026-10-12T09:15:49","modified_gmt":"2026-10-12T07:15:49","slug":"ile-kosztuje-agent-ai-firma-cennik-2026","status":"publish","type":"post","link":"https:\/\/jsoncrew.com\/en\/2026\/10\/12\/ile-kosztuje-agent-ai-firma-cennik-2026\/","title":{"rendered":"How much does an AI agent for business cost: real 2026 pricing"},"content":{"rendered":"

Enter \u201ehow much does an AI agent cost\u201d in Google: you will get answers from PLN 3,000 to PLN 400,000. Each is true at the same time. The discrepancy does not result from the dishonesty of suppliers, but from the fact that an \u201eAI agent\u201d is not one product. It is a family of solutions with a completely different architecture, scope of rights and level of integration. This article breaks down the price into first factors.<\/strong><\/p>\n

AI agent, AI assistant, chatbot , why these three words mean three different budgets<\/h2>\n

Before we get into the numbers, it is worth distinguishing the concepts, because the market uses them interchangeably, and this is the main source of disappointment in valuations.<\/p>\n

\n\n\n\n\n\n\n\n
Type<\/th>\nWhat it does<\/th>\nAccess to systems<\/th>\nApproximate CAPEX<\/th>\n<\/tr>\n<\/thead>\n
Chatbot FAQ<\/strong><\/td>\nAnswers questions from the ready-made knowledge base<\/td>\nOnly documents<\/td>\nPLN 5,000-15,000<\/td>\n<\/tr>\n
AI Assistant<\/strong><\/td>\nConducts a conversation, summarizes, drafts content<\/td>\nLimited reading from selected sources<\/td>\nPLN 15,000-40,000<\/td>\n<\/tr>\n
AI agent<\/strong><\/td>\nCarries out tasks independently from start to finish<\/td>\nFull , reads and writes data in CRM, ERP, databases<\/td>\n40-400 thousand PLN<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

A real AI agent differs from a chatbot in that not only responds , takes action<\/strong>. It can send an email, update the offer in CRM, generate a PDF file and pass it on to the customer , without human intervention at every step. It is this autonomy that raises the price: the more systems it can save, the more work on the side of integration, testing and security guardrails.<\/p>\n

If you're just getting started, our previous article about 6 tasks of an AI agent in B2B sales<\/a> shows what specific processes are worth automating in the first place.<\/p>\n

How much does an AI agent cost: four levels of architecture and their prices<\/h2>\n

The following breakdown is not an official industry taxonomy, it is a practical scheme that we use when pricing projects. The L1 level can be implemented in a few weeks. L4 is a multi-month project with its own team on the client's side.<\/p>\n

L1: Knowledge base agent (only responds)<\/h3>\n

Works On rag architecture<\/a>: takes excerpts from company documents and generates a response. He does not have access to any trading system, he cannot change anything, order anything, save anything. Typical use: internal helpdesk, customer FAQ, employee onboarding assistant.<\/p>\n

L2: Agent with read-only integration<\/h3>\n

It can retrieve data from CRM, ERP or data warehouse, but does not modify it. Typical use: reporting on demand (\u201ehow many orders from this quarter are over PLN 50,000\u201d), preparing a brief before a conversation with the customer, KPI monitoring. Integration with an external system is the main element raising the price in relation to L1.<\/p>\n

L3: Operational agent (reads and writes)<\/h3>\n

He has full access to at least one transaction system: he can update the status in CRM, create an offer, add a comment to the application, send an e-mail through the marketing automation system. It is the most frequently implemented type in B2B companies. Guardrails (what an agent can and cannot do) is a key element of the architecture , without them the operational agent is too risky to produce.<\/p>\n

L4: Multi-agent system (orchestration)<\/h3>\n

Several specialized agents cooperate under the supervision of the orchestrator. One processes leads, the second generates bids, the third monitors the pipeline and escalates exceptions. Typical use: full automation of the B2B sales process or order handling. It is the project, not the product , that requires the customer to engage their own team throughout the implementation period.<\/p>\n

\n\n\n\n\n\n\n\n\n
Level<\/th>\nCAPEX (implementation)<\/th>\nOPEX (monthly)<\/th>\nImplementation time<\/th>\nTypical return<\/th>\n<\/tr>\n<\/thead>\n
L1: Knowledge base<\/strong><\/td>\nPLN 8-20 thousand<\/td>\nPLN 300-800<\/td>\n2-4 weeks.<\/td>\n6-10 months.<\/td>\n<\/tr>\n
L2: Read-only<\/strong><\/td>\nPLN 20-55 thousand<\/td>\n700-2,200 PLN<\/td>\n4 \u2013 8 weeks.<\/td>\n8-14 months.<\/td>\n<\/tr>\n
L3: Operational<\/strong><\/td>\nPLN 55-150 thousand<\/td>\nPLN 2,000-6,000<\/td>\n8-16 weeks.<\/td>\n10-18 months.<\/td>\n<\/tr>\n
L4: Multi-agent<\/strong><\/td>\n150-400 thousand PLN<\/td>\nPLN 5,000-18,000<\/td>\n16-32 weeks.<\/td>\n14-28 months.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n