AI agents for business: what they are, what they do and what they cost

Short answer. An AI agent for business is a program that uses a language model to do a complete work task inside your tools: it reads an email or a document, decides what to do, checks your systems and leaves the result done or ready for a person to approve. Its cost depends on the process, the integrations and how much risk each decision carries. At Alpgency the price is fixed per use case, agreed after a free Audit, and never billed by the hour.

What an AI agent is, in plain words

A chatbot answers questions; an agent does the work. Ask a chatbot to summarize an invoice and it gives you text back. An agent receives the invoice in the accounting inbox, extracts the amount and the order number, checks them against your ERP, sees the delivery note is missing and pings you in Slack to approve or reject. The language model is the same. What changes is that the agent has access to tools (your email, your CRM, your database) and decides in which order to use them.

Anthropic, the company behind the Claude models, puts it this way in its technical guide Building effective agents: in a workflow, the path is fixed in code; in an agent, the model directs its own process and chooses which tools to use. The same guide recommends starting with the simplest possible solution and adding complexity only when it is needed. Many problems sold as "agents" are better solved with an automated workflow and a single call to the model. A good provider will tell you so before quoting.

A useful agent in a company has four parts:

1. Access to the tools where the work happens, with permissions limited to what it needs.
2. Instructions written from how your team works today, with real cases.
3. A confidence threshold. Whatever the agent is unsure about, or whatever you mark as sensitive, goes to a person.
4. A log of every decision, so you can audit what it did and why.

Five concrete uses inside the tools you already have

The articles Google shows for this search today tend to talk about new platforms. What works in most companies is something else: the agent working inside the email, CRM and spreadsheets your team already uses.

1. Email triage

The agent reads the shared inbox (sales, support, billing), classifies each message, drafts a reply and routes it to the right person. Exceptions go to a person. Your team stops reading every email to decide whose it is.

2. Document processing

Invoices, contracts, onboarding forms. The agent extracts the fields, compares them with your records and flags what does not match: an amount that differs from the order, a missing clause, a mistyped tax ID. What matches gets recorded on its own, with an audit trail.

3. Search across your own documentation

Someone asks in Slack or Teams "what payment terms do we have with this supplier?" and the agent answers from your contracts and internal procedures, with a link to the source document. If it cannot find the answer, it says so.

4. Lead qualification and scoring

The agent reviews every incoming lead or opportunity, checks it against your criteria and gives it a score with the reasoning next to it. That is the case of 100in, a venture capital fund: its AI deal-flow scoring system was in production in 9 days.

5. Reports that build themselves

The weekly report someone prepares by copying data from three systems into a spreadsheet. The agent builds it, checks the numbers against the source and sends it. If a figure does not match, the report goes out with the alert instead of going out wrong.

What an AI agent costs

Search for "how much does an AI agent cost" and you will find tables with very wide ranges. A range helps little, because the real cost is set by three things in your specific case:

• The process. How many distinct case types there are and how many exceptions. Classifying emails into five categories does not cost the same as reviewing contracts with negotiated clauses.
• The integrations. Every system the agent has to read from or write to (ERP, CRM, document management) adds work, especially if it lacks a modern API.
• The risk of each decision. The more an error costs, the more work goes into the evaluation set, the thresholds and human approval.

On top of that comes the cost of using the model, paid by volume processed. It should be measured and visible from day one.

How we set the price at Alpgency

1. Free Audit. We map how the work is done today, prioritize the use cases by hours saved, costs cut or new revenue, and price the first one. You commit to nothing.
2. Demo and build. Before we build, you see a demo running on your real data. Then comes the build. Demo and build share one fixed price, agreed after the Audit.
3. After go-live, you choose. A full handover (code, prompts, evaluation set and documentation are yours and your team runs them), a fixed monthly support fee, or we stay on as your tech partner on a fixed schedule.

We never bill by the hour, by open estimates or by hours saved.

How to choose an AI agent provider

Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, because of rising costs, unclear value or inadequate risk controls. In the same release it warns about "agent washing": existing products (chatbots, RPA, assistants) relabeled as agents. These questions help you screen an AI agency before you sign:

• Will you show me a demo on my data before I pay for the build? A demo on sample data does not prove it works on yours.
• Is the price fixed and agreed before we start? If the answer is "it depends on the hours", the risk of the project running long is yours.
• Who owns the code? Ask for the code, the prompts and the evaluation set to be yours by contract. Otherwise, switching provider means starting from zero.
• How do you measure whether it gets things right? A serious provider builds an evaluation set from real cases and shows you the results. Without one, nobody knows whether the agent gets better or worse with each change.
• Where is the data processed? For a European company, the sensible default is processing in the EU, with a choice between a managed service, your cloud or your own servers.
• What happens when the agent is unsure? There has to be a threshold and a person who approves. And since 2 August 2026, Article 50 of the EU AI Act requires that anyone talking to an AI system knows it, unless that is obvious (official text on EUR-Lex).
• Will you tell me when an agent is not needed? If a simple automation or an existing product solves the problem, you should hear it in the first conversation.

According to the INE survey on ICT use in companies, 21.1% of Spanish companies with 10 or more employees used artificial intelligence in the first quarter of 2025, and 13.4% of those with fewer than 10.

Frequently asked questions

What is the difference between an AI agent and a chatbot?

A chatbot answers questions in a conversation. An AI agent has access to your tools and completes tasks: it reads a document, checks your ERP, updates the CRM or prepares a reply for a person to approve.

How much does an AI agent cost for a business?

It depends on the process, the systems it has to touch and the risk of each decision. At Alpgency it is a fixed price per use case, agreed after a free Audit and before you commit. It is never billed by the hour.

Do I need to change my tools to use an AI agent?

No. The agent works inside what you already use: email, Slack or Teams, your CRM, your ERP, your spreadsheets. What it needs is access with limited permissions and a set of real example cases.

Does an AI agent make decisions without supervision?

Only the ones you decide. Whatever falls below a confidence threshold, or whatever you mark as sensitive, goes to a person for approval, and every decision is logged.

Who owns the agent once it is finished?

At Alpgency, you do. We hand over the code, the prompts, the evaluation set and the data with documentation. Then you choose whether your team runs it, whether you pay a fixed monthly support fee or whether we stay on as tech partner on a fixed schedule.

Start with one use case

Pick the process that costs your team the most hours. In the free Audit we map it, check whether an agent is the right answer and give it a fixed price before you commit to anything.

Book a free Audit