How to choose an AI agent development company
AI agent development companies differ a lot, from no-code agencies to global consultancies. This guide covers the four provider types, the questions to ask before you sign, what drives the cost of an AI agent and how to estimate whether it pays for itself.
To choose an AI agent development company, ask for three things: an AI agent in production with metrics (not a demo), a cost model of the process before any quote, and a clear explanation of how they keep the agent from making things up. Cost depends on integrations, volume and the level of human oversight.
Updated · Possition
The four types of providers
There is no best provider in the abstract: it depends on the size of the problem, how many systems need to be integrated and how much risk the operation can take.
| Provider type | Best for | Strength | Typical risk |
|---|---|---|---|
| Freelancer or no-code agency | A simple flow, low volume and no sensitive data. | Fast and cheap to start. | Hard to maintain and scale; little quality evaluation. |
| Generalist software outsourcing firm | Custom software where AI is a minor part. | Development and support capacity. | AI is added as one more service, without its own evaluation method. |
| AI engineering firm (Possition's model) | Agents that touch real systems (CRM, ERP, documents) with volume and metrics. | Evaluation, monitoring and cost per operation measured from day one. | Smaller teams than a global consultancy: check seniority and case studies. |
| Global consultancy | Multi-department transformations with change management. | Scope, governance and C-level relationships. | High cost and rotating teams for focused projects. |
Eight questions to ask before you sign
Which AI agent do you have in production today, and with what metric?
Separates builders from demo shops.
How do you keep the agent from making things up?
The answer should include grounded sources (RAG), tests with real cases and hand-off to a person.
Do you measure the current cost of the process before quoting?
Without a baseline there is no way to know whether the project pays off.
Which systems do you integrate with, and how?
An agent that can't read or write in your CRM or ERP is just a chat.
What does each agent operation cost in production?
Model and cloud costs grow with volume; they must be estimated.
Who owns the code, the data and the prompts?
Avoids lock-in to a vendor or a platform.
How do you protect our data?
NDA, least-privilege access and deployment in your cloud when possible.
What happens after delivery?
Monitoring, tuning and a service-level agreement, in writing.
What drives the cost of an AI agent
Two agents with the same description can cost very different amounts. These are the factors that move the budget most:
- Integrations. Every system the agent reads or writes (CRM, ERP, billing) adds design, testing and maintenance.
- Volume and channel. Web, email, voice or messaging, and how many conversations per month: this sets the operating cost.
- Required quality. How much error the process tolerates and how much human oversight it needs.
- Available data. Whether the information is organized or needs to be structured first.
- Operations. Monitoring, continuous evaluation and support after go-live.
Which results to ask a provider for
Concrete numbers, backed by the case study. Here are some of ours:
Why Possition
Senior engineers
A team that has shipped AI for Google, Deloitte, Organon and Telecom, plus university faculty in AI.
Your business day
Argentina is 1–2 hours ahead of New York: meetings and reviews happen in ET business hours.
Numbers before code
Current cost, cost to automate and expected return are measured in discovery.
US contract, in USD
Engagements are signed with NEXIA LLC (Dover, Delaware) and invoiced in USD.
Frequently asked questions
How much does an AI agent cost?
An AI agent has two costs: building it (design, integrations, testing) and running it (model and cloud usage per conversation, monitoring and support). Integrations, volume, required quality and human oversight drive both. A discovery sprint measures the current cost of the process first, so the quote can be compared with the return.
Why hire a nearshore AI development company in Argentina?
Time-zone overlap with the US (1–2 hours ahead of New York), strong English and senior engineering talent, with a cost structure below a comparable onshore team.
What is the difference between an AI agent company and a chatbot vendor?
A chatbot chats and hands off. An AI agent does the whole job: it answers with your company's data and cites the source, reads and writes in your systems and notifies your team when human judgment is needed.
How long does an AI agent project take?
A focused first agent with one or two integrations usually reaches production in weeks. Timelines are set after the discovery sprint, once the process and systems are mapped.
Want to compare with real numbers?
In a 30-minute call we review your process and tell you what is worth automating and what isn't.