AI agent development that takes action in your business tools

If you run a small or mid-size business or a startup and want software that does work instead of just talking about it, our AI agent development service delivers an agent that takes real actions in your tools for $2,400 (single workflow) or $6,500 (multi-tool agent), fixed price, in 1 to 3 weeks. You get a working preview within 5 business days, or your deposit back. AI agents build it, and a senior engineer verifies every delivery.

An agent is different from a chatbot. It reads a request, decides what to do, calls your systems and reports back. Custom agents from agencies commonly cost $30,000 to $150,000 and take three to six months. Our AI agent development cost guide breaks down what drives that gap. If you mostly need an assistant that answers questions from your documents, you want AI chatbot development instead.

What is included in the AI agent package

• An agent grounded on your documents and data
• A channel of your choice: website, WhatsApp, Slack or email
• Guardrails, a test suite and a human handoff path
• A usage and cost dashboard
• Everything running on your own accounts

The single workflow tier ($2,400) automates one defined job end to end. The multi-tool tier ($6,500) adds actions in your systems through tool calls, so the agent can work across several apps in one task.

What is not included

• Training or fine-tuning a custom foundation model. Agents here use hosted models through their APIs.
• Unlimited workflows. The price covers the scope on the sheet, and each added workflow is quoted in writing.
• Model and API fees, which you pay your provider directly.
• Compliance certifications. If your data is regulated, tell us before the quote and we will say plainly what we can and cannot support.
• Open-ended maintenance after the 30-day warranty. The Care plan ($299/month) covers monitoring and small fixes.

How we compare

	Tantito	Typical agency	Freelancer marketplace
Price	$2,400 or $6,500 fixed	$30,000 to $80,000 build, plus $400 to $6,000 per month to run	$1,200 to $6,000 per agent, plus $400 to $800 per month
Timeline	1 to 3 weeks	2 to 6 months	2 to 12 weeks
Code ownership	Yours from day one	Often transferred at the end	Varies by gig
Guarantee	Preview in 5 business days or deposit back, 30-day warranty	Rarely any	Platform dispute process

How an agent project runs

1. Day 0: We hold a process mapping session. You describe the job as a person does it today, including the exceptions. We write the scope and the list of actions the agent may take.
2. Days 1 to 5: A working preview handles the main path with sandboxed tools. You try real requests.
3. Week 2: Real integrations go in, along with guardrails, approval steps for risky actions and the test suite.
4. Week 3 (multi-tool tier): Additional tools, edge cases, the cost dashboard and a staged rollout on your accounts.

Example agents this package fits

• For example, a refund triage agent that reads a support email, checks the order in Stripe, drafts a decision and waits for a human click on anything over a set amount.
• For example, a lead qualification agent that reads inbound form submissions, researches the company, scores the lead, creates the CRM record and books a call.
• For example, an invoice follow-up agent that finds overdue invoices, writes a polite reminder in your tone and logs every contact.
• For example, an operations agent in Slack that answers “where is order 1042?” by querying your database and shipping provider.

These are illustrations of scope, not past client work.

Technology we typically use

Defaults are TypeScript, the OpenAI or Anthropic APIs for reasoning, tool calling with strict input schemas, Postgres for logs and memory, a vector index for retrieval where needed, and n8n or custom code for orchestration. We adapt to your stack, and we pick the model per task based on accuracy and cost, not brand.

How “AI-built, human-verified” applies to an agent

Agents are the riskiest kind of software to ship untested, so verification is the heart of this package. We write evaluation cases from your real examples, including adversarial ones (a customer demanding a refund they are not owed, a prompt trying to override instructions). The senior engineer reviews each tool definition, checks the permission levels, confirms secrets stay out of prompts and logs, and runs the full suite before delivery. You get the test results in the handoff.

The main objection: what if the agent does something wrong in my systems?

It will sometimes be wrong, so we design for safe failure. Actions are tiered. Reading is free, reversible writes are logged, and irreversible or customer-facing actions need human approval until you decide to relax them. Every tool call is recorded with its inputs and outcome, spend is capped, and a human handoff exists for anything the agent is unsure about. You start narrow and widen the agent’s authority as the logs earn your trust.

When this is not the right fit

An agent is the wrong tool when the process never changes and has no judgment in it, since a plain workflow is cheaper and more predictable. It is also a poor fit when no one can describe how a good outcome looks, because there is nothing to test against. And if you need an agent to act with no human review on high-stakes decisions such as lending or medical advice, we will decline that scope. A good first project has a clear trigger, a few tools and a result you can check in under a minute.

Next steps

Compare tiers on the pricing page, read what the guarantee covers, or see how we work. When you are ready, request an agent quote. If the job is a fixed sequence of steps without judgment, business automation is often cheaper. You can also estimate with the software cost calculator.