How much does it cost to build an AI agent?

Building an AI agent connected to your company's systems typically costs between $8,000 and $200,000 or more. Where a project lands depends on how many systems it connects to, how strict the security requirements are, and how much the agent is allowed to do on its own.

The ranges below assume an agent that works with systems such as Salesforce, Microsoft 365, SharePoint, SAP, an ERP or CRM, company databases or internal applications. They are indicative project budgets to help you plan, not fixed market prices.

What does an AI agent typically cost to build?

Basic AI agent: $8,000 to $20,000

A relatively simple internal assistant. It:

• Connects to one or two company systems.
• Answers questions using company documents.
• Searches internal knowledge bases.
• Has a basic chat interface.
• Automates very little.

Business AI agent: $20,000 to $60,000

The most common starting point: an agent that carries out real business tasks. It:

• Connects to three to five company systems.
• Retrieves and analyzes business data.
• Creates and updates records.
• Automates workflows.
• Respects role-based access controls.
• Asks a person to approve sensitive actions.

Advanced enterprise agent: $60,000 to $200,000 or more

An integrated set of agents working across the business. It:

• Connects to five to fifteen or more systems.
• Runs multi-agent workflows.
• Handles complex business processes.
• Keeps detailed permissions and audit trails.
• Meets enterprise security and compliance requirements.
• Includes monitoring and governance.

Not sure whether you need an agent or something simpler? Compare the two in chatbot or custom AI agent.

What drives the cost?

Component	Estimated cost
AI architecture and planning	$1,500 to $8,000
AI model integration	$1,500 to $8,000
Company system integrations	$2,500 to $8,000 per system
Agent logic and workflows	$4,000 to $20,000
User interface	$2,500 to $12,000
Security and permissions	$4,000 to $16,000
Testing and deployment	$2,500 to $12,000

The biggest cost is usually not the AI model. It is connecting the agent securely to your systems and making sure it takes the right actions without putting business data at risk. That is why the number of systems an agent touches moves the budget more than anything else.

What does an AI agent cost to run each month?

Building the agent is only part of the investment. Once it is live, expect running costs along these lines:

Expense	Estimated monthly cost
AI model and API usage	$100 to $1,500
Cloud hosting	$100 to $800
Database and infrastructure	$50 to $400
Monitoring and security	$100 to $400
Maintenance and improvements	$400 to $2,500
Estimated total	$750 to $5,600

Costs can be considerably higher for large enterprises or agents that handle a high volume of requests. Many companies also set aside a separate annual budget for maintenance.

What does a real example cost?

Imagine an employee asks:

"Give me a summary of our biggest customers, outstanding invoices, recent communications and potential sales opportunities."

To answer, the agent:

1. Connects to Salesforce.
2. Retrieves financial information from the ERP.
3. Searches company documents in SharePoint.
4. Retrieves relevant emails from Microsoft 365.
5. Analyzes the information.
6. Produces a consolidated business report.

An initial production budget for this kind of agent is typically $32,000 to $80,000, depending on API access, data quality, security requirements and how complex the workflow is.

How should you approach the investment?

Rather than spending $80,000 or more up front, we recommend building in phases:

1. Proof of concept: $4,000 to $12,000. Show that the agent can do the job on real examples.
2. Connect two or three real company systems: $12,000 to $24,000. Put it to work on live data.
3. Add automation, permissions and security: $8,000 to $20,000. Let it act, with the right controls.
4. Deploy company-wide and optimize. Roll it out and keep improving it based on results.

Each phase gives you a decision point, so you validate the business value before committing to a large investment. The same approach works for a first, smaller agent; see how a small business can use custom AI agents.

What do we need to know to estimate your project?

Generic pricing only goes so far. To give you a realistic budget, a recommended architecture, a timeline, and an honest view of whether a custom agent or an existing platform makes more financial sense, we need four answers:

1. Which systems should the agent connect to? For example Salesforce, Microsoft 365, SharePoint, SAP, your ERP or CRM, databases or internal applications.
2. What should it do? Answer employee questions and retrieve information; automate business processes; handle sales and customer service; handle finance and operations; or act as an all-purpose company assistant.
3. How independently should it work? Read information only; take actions after an employee approves them; or carry out approved tasks on its own.
4. How many employees will use it? 1 to 50, 50 to 200, 200 to 1,000, or more than 1,000.

Have a budget in mind? Tell us, and we will show you what can be built within it and what is worth leaving for a later phase.

Send us your answers and we will come back with an estimate for your situation. You can read more about how we design, build and hand over agents on our agent development page.