How much does an AI agent cost? From €3,000

At Syntalith, an AI agent that runs a business process starts at €3,000 net, and larger implementations typically cost €3,000–17,500 net (pricing). Beyond that starting point, an AI agent’s cost depends on the work it must complete and who is responsible when that work goes wrong. To compare proposals, also establish the integrations, data preparation, acceptance criteria and ongoing operating costs. A product label alone cannot define a comparable purchase.

Current offers are on Syntalith’s pricing page.

A company usually reaches this question through a practical problem: employees copy order details, investigate missing documents or gather information before replying to a customer. Identify which part of that work you want to change. Preparing a useful recommendation and completing the transaction require different delivery scopes.

This guide supports a purchase from Syntalith, a Poland-based provider working with international buyers. It does not estimate a market-average US project price. Currency, delivery arrangements and commercial terms belong in the proposal agreed with your organization.

Make the proposals describe the same work

A useful specification lets you follow one case from arrival to completion. Where does it come from? Which facts must be checked? What may the agent prepare or change? Who receives a case the system cannot resolve?

Use those answers to compare suppliers. A prototype proposal can appear inexpensive while leaving integration, user support and production preparation for a later purchase. An early prototype can still be useful when everyone understands what the assessment covers.

Use the AI implementation brief to gather these details. Give every supplier the same version and ask which assumptions could change the price.

A worksheet for comparing quotes

For each proposal, record development, launch and usage costs alongside the maintenance scope. Include the quote date and the period covered by your calculation. A price omitted from a proposal is not zero.

Why apparently similar agents need different scopes

Known data sources, clear ownership and available test access make planning easier. Conflicting documents, restricted integration options and unresolved source ownership add work before the system can be assessed reliably.

Authority changes the purchase as well. An agent that proposes an order amendment has a different responsibility from one that submits it. Submission requires agreement about the permitted change, failure handling, review and the information needed to reconstruct what happened.

Workload also matters. Several tasks spread across a day are different from a queue that must remain useful during the busiest order period. Ask about arrival patterns, acceptable waiting time and what happens when an external service is unavailable. Counting the components called agents answers none of those questions.

The practical consequence is that you should compare the required result and operating conditions before comparing headline costs. A broader promise may include work your team does not need, while a narrow one may leave a critical dependency unresolved.

Compare the full ownership period

Include assessment, development, introduction into the workflow and agreed maintenance. Establish separately how model usage, hosting and external services are billed. Identify which expenses grow with transaction volume or document length.

The buyer’s time belongs in the comparison. Someone must provide examples, review results and settle exceptions. A proposal that assumes immediate feedback from a busy department can produce an unrealistic schedule even when the development estimate is reasonable.

A useful budget structure is:

Total cost = preparation + development + migration and launch + usage and maintenance + the buyer’s staff time.

Apply it over the same period for each alternative. When estimating benefits, separate available capacity from cash expenditure that will actually end. Faster processing may help the team take on more work without reducing payroll or an existing software contract.

Include the cost of handling failures. If employees must inspect every output, correct missing details and re-enter the result, a fast model response may create little useful capacity. A pilot should measure the complete task, including that review work.

Check the alternatives before buying an agent

Your current CRM or ERP may already support the required function. Check configuration and access first. A process with a stable sequence may be better served by workflow automation. An agent becomes relevant when the task requires interpreting context and selecting actions within agreed authority.

Anthropic’s engineering guidance distinguishes fixed workflows from agents. It helps frame the technical choice. Your own process evidence is needed to establish the commercial case.

For some teams, a complete draft prepared for an employee is a sufficient improvement. Buying additional autonomy should follow a specific need, such as reducing avoidable handoffs, together with evidence that the resulting operation can be supervised.

Before comparing proposals, review fixed-price and time-and-materials AI projects. The billing model determines how you approve work, control spending and price scope changes.

What to bring to a Syntalith scoping conversation

If you are choosing a supplier, review Syntalith’s AI implementation scope. Our system for foap.com provides an example of work on email correspondence. The screens use demonstration data; the description does not measure client savings.

Our AI agent service covers building systems around an agreed business process. Bring the process name, current applications, approximate workload and an example of an outcome your team can evaluate. Include an error you particularly need to avoid.

That information supports a discussion about the initial scope, data requirements and the responsibilities on each side. The implementation guide explains how those dependencies affect timing. Current commercial offers remain on the pricing page.

Ask for a proposal covering one defined process and the assumptions on which it depends. When an assumption changes, both parties can then explain the effect on the work and decide whether the change is worth making.