Overview

The best AI tools for business – an overview by use case, prices and how to choose

This overview is for the management boards and managers of mid-sized companies who want to know which AI tools are worth considering and what they cost. We organise the market by use case: working with documents, sales, customer service, reporting, marketing and organising team work. Prices come from vendors’ price lists as of October 2026, and at the end you will find a way of choosing that stops you buying licences ‘just in case’.

Author: Kacper Włodarczyk, CEO of ALGORCOMPPublished: May 20, 2026Reading time: 12 min readArtificial intelligenceFor: Universal
The best AI tools for business – an overview by use case, prices and how to choose

How to read this overview

This is not a ranking. There is no single best AI tool for every company, because the outcome depends on the process, the systems and the people who will use it. That is why we have grouped the tools by use case, and for each one we say who it makes sense for.

In fairness, we should point out that ALGORCOMP implements some of the tools described, including Microsoft 365, monday.com and Jira. Where another choice is better, we say so plainly.

We selected tools for this overview that meet the criteria listed below. Prices are given in US dollars or euros, as in the vendors’ price lists. Prices change often, so check the current price list before you buy.

  • It has been used in companies for some time and has public documentation.
  • It connects to popular systems: Microsoft 365, Google Workspace, CRM, help desk systems.
  • In its business version it does not use customer data to train models, and it offers a data processing agreement (DPA).
  • It has a clear pricing model: per user, per usage or per resolved case.

AI assistants for working with documents, email and meetings

This is the most common first investment, because it affects almost every office worker. The assistant drafts emails, summarises documents and meetings, prepares presentations and helps analyse data in a spreadsheet.

The differences between assistants today lie mainly in which company data they can access and where they work. Microsoft 365 Copilot works inside Word, Excel, Outlook and Teams and sees the documents the user has permission to access. Gemini does the same in Google Workspace. ChatGPT and Claude work as separate apps, although they can be connected to selected systems.

The prices in the table below are list prices with annual billing, as of October 2026. With monthly billing, ChatGPT Business and Claude Team cost USD 25.

AI assistants for business – list prices (October 2026, annual billing)
ToolPriceBest fitWhat to watch out for
Microsoft Copilot ChatNo additional charge with an eligible Microsoft 365 subscriptionFirst experiments with AI in a secure company environmentDoes not use company documents and email the way paid Copilot does
Microsoft 365 Copilot BusinessUSD 21 per user per monthCompanies with up to 300 users on Business Basic, Standard or Premium plansFile permissions need to be reviewed before launch
Microsoft 365 CopilotUSD 30 per user per monthLarger organisations, including those on E3 and E5 plansAs above
Gemini in Google WorkspaceIncluded in Business and Enterprise plansCompanies working in Gmail and Google DocsThe feature set depends on the Workspace plan
ChatGPT BusinessUSD 20 per user per month, minimum 2 seatsPeople who write, analyse and research a lotA separate app – without a connection it does not know the company’s documents
Claude TeamUSD 20 per seat per month; Premium version USD 100Working with long documents, contracts and specificationsAs above; the Premium version only for heavy users
The best AI tools for business – an overview by use case, prices and how to choose

How to choose an assistant and what it costs in practice

The simplest rule: choose the assistant from the ecosystem your company already works in. In a company on Microsoft 365 that will be Copilot, in a company on Google Workspace – Gemini. A separate tool such as ChatGPT Business or Claude Team is worth giving only to teams for which the built-in assistant is not enough.

Here is a sample calculation for a hypothetical company of 120 people. Copilot goes to the 40 people who work most with documents and email: 40 × USD 21 × 12 months = USD 10,080 a year. In addition, five analysts and a lawyer get Claude Team: 6 × USD 20 × 12 = USD 1,440 a year.

On top of the licence cost, allow time for training and tidying up permissions. Copilot shows users everything they have access to, so a salary folder open to everyone will become easy to find. We describe the details in our article on Copilot for business.

AI in sales and CRM

In sales, AI works best inside the CRM – the system for managing customers and sales opportunities. There it knows the customer’s history and can draft an email, summarise a call or point out neglected opportunities.

The largest CRM vendors have their own AI tools, included in higher plans or sold as an add-on. In HubSpot it is Breeze, in Salesforce – Agentforce (formerly Einstein), in monday CRM – AI features billed in credits. Before you buy, check which features are in your plan and which use up credits that cost extra.

If the company does not yet have a well-organised CRM, AI is not the first step. First you need to gather customers and sales opportunities in one system, and only then add automation.

  • AI in the CRM you already use – the first choice, because it does not require a new system.
  • Sales call analysis tools, e.g. Gong – they record and analyse calls with customers; they make sense with a larger sales team and long sales cycles. Recording calls requires informing the other party and a legal basis under the GDPR.
  • An AI agent tailored to the process, e.g. for preparing quotes – when the company has an unusual process or its own sales system.
Map of business AI tools grouped by use case: documents, sales, customer service, reporting, marketing

The best AI tool for a company is not the one that wins the tests, but the one your people use every day in their work.

AI in customer service: chatbots, agents and voicebots

In customer service, AI answers repetitive questions: order status, delivery terms, complaints handled by simple rules. It passes more difficult cases to an employee together with a summary of the conversation.

Intercom Fin charges per successfully resolved case: USD 0.99 each. With 3,000 such cases a month, that is 3,000 × 0.99 = USD 2,970 a month. You pay only for cases closed by AI, and if you connect Fin to a different help desk system, a minimum monthly commitment applies.

Zendesk, Freshdesk and other help desk vendors have their own AI agents – the natural choice if you already use them. Voicebots, or automated telephone assistants, make sense with a large number of repetitive calls; before choosing one, test how it copes with Polish speech and the names of your products.

Remember the regulations. From 2 August 2026, chatbots and voicebots must tell callers they are talking to AI (Article 50 of the AI Act). This is an obligation, not just good practice.

AI in reporting and data analysis

Copilot in Power BI lets you ask a question about your data in plain language, e.g. “how did sales in the southern region change this quarter?”, and get an answer with a chart. However, it requires paid Microsoft Fabric capacity or Power BI Premium, not just a Power BI Pro licence. Microsoft also notes that English is the officially supported language, so questions in Polish may work less well.

The quality of the answers depends on how the data is prepared. If tables have names like “Table1” and measures have no descriptions, Copilot will make mistakes. That is why implementation starts with tidying up the data model.

For one-off analyses of Excel or CSV files, general-purpose assistants are often enough: Copilot in Excel, ChatGPT or Claude. The analyst uploads the file and asks for a summary, a chart or an explanation of variances. It is always worth checking the result against a few figures.

AI in marketing: copy and images

For marketing copy, most teams find that a general-purpose assistant from the company licence is enough, supplemented with a brand description and examples of good copy. Specialist content and search engine optimisation tools make sense when you publish a lot.

For images, companies use tools such as Adobe Firefly, Midjourney and the image generators built into ChatGPT and Gemini. For advertising materials, check the terms of service to see whether you may use the images commercially and who is liable for any rights infringement.

The market for marketing tools changes particularly quickly. So buy them for a year, not for several years, and check every year whether the assistant in your basic licence already does the same thing.

AI in tools for organising team work

A separate group is work planning platforms, where AI summarises tasks, answers questions about project status and suggests automations. This is not a first investment in AI, but it makes sense if the company is organising its teams’ work anyway.

In Jira, the Rovo assistant is included in paid plans, with a monthly allowance of credits. In monday.com, every paid plan has an allowance of AI credits, and plans cost from EUR 9 to EUR 19 per seat per month with annual billing. In Microsoft 365, this role is played by Planner together with Copilot.

When an AI tool is unlikely to work

Some tools look good in a demo but rarely pay for themselves in a mid-sized company. Treat the signals below as a warning, not a ban – assess each case on its merits.

The last point in the list below is particularly important. Employees using personal AI accounts for company documents is now a common security problem, which we describe in our article on the uncontrolled use of AI.

  • The tool promises to solve everything at once: sales, customer service, HR and finance. Usually each of these functions is weaker than in a specialist tool.
  • The tool does not connect to the company’s systems and requires data to be re-entered. People quickly stop using it.
  • The vendor cannot say where it processes data and whether it uses it to train models.
  • You cannot estimate the cost at twice the usage, because the pricing depends on unclear units.
  • Employees would be working on company data in personal, consumer versions of the tools.

How to choose and test an AI tool in your company

Instead of picking a tool from a list, start with the process that hurts most. Then choose one tool and test it with a small group before you buy licences for everyone.

Three perspectives should be involved in the choice: the person responsible for the process, someone from IT responsible for security and a representative of the future users. A tool chosen by IT alone may be technically sound but poorly suited to everyday work.

  • Identify the three processes that take up the most time, e.g. answering emails, preparing quotes, reports for the management board.
  • For each one, measure the current state: how many cases, how much time per case, how many errors.
  • Choose one tool for one process, ideally one that works within the systems you already have.
  • Test it for a few weeks with a small group of people, using measures set before the start.
  • Expand the purchase only if the results are better than the current state. Otherwise, change the tool or the process.

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FAQ

AI tools for business – frequently asked questions

Answers to the questions management boards ask most often when choosing their first AI tools.

Is ChatGPT better than Microsoft Copilot?
Copilot uses current OpenAI models, and for selected features, such as the Researcher agent, an administrator can also enable Anthropic models. So the difference lies mainly in data access and where you work. Copilot works in Word, Outlook and Teams and knows the company’s documents, while ChatGPT is more convenient for independent work on texts.
Can employees use free or personal versions of ChatGPT and Claude?
Not for company data. In individual plans, data may be used to train models unless the user switches this off, and the company has no control over it. Business versions do not train models on customer content by default and give the administrator control over access.
Is it worth waiting until AI tools settle down?
Holding off on large implementations can be sensible, but there is no point delaying learning. Employees are reaching for AI anyway, so it is better to give them a secure company tool and rules. Since 2 February 2025, the AI Act has also required companies to take steps to support their employees’ AI literacy (Article 4).
How many AI tools does a mid-sized company need?
Usually not many: one assistant for office workers and one or two tools for specific processes. Each additional tool means separate training, contracts and security settings. It is better to make good use of two tools than to pay for five that only a few people use.
What about AI tools from Polish companies?
They can be a good choice, especially where the Polish language matters, e.g. in voicebots. Assess them by the same criteria as global ones: where they process data, how they connect to your systems and what their development plan is. Also ask what will happen to your data and configuration when the partnership ends.

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About the author

Kacper Włodarczyk — CEO of ALGORCOMP

Kacper Włodarczyk

CEO of ALGORCOMP

Kacper specializes in implementing Microsoft 365 Copilot, Copilot Studio, Power Platform (Power Automate, Power Apps, SharePoint) and AI agents for mid-sized B2B companies in Poland. He leads dozens of projects covering AI strategy, Power Platform governance, document workflow automation and sales processes. In his writing he focuses on the practical side of AI adoption in organizations — from the first proof of concept to company-wide rollout — with particular attention to data security, compliance (GDPR, NIS2, the AI Act) and return on investment.

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