
Summarize this article with AI

The best AI automation companies in Argentina in 2026 are Suris Code (operations automation with manual processes), Globant (enterprise projects at scale), Aivo (conversational AI), UiPath (enterprise RPA), InvGate (IT service management), NeuralSoft (AI within the ERP), Wodes (marketing and sales), and Duotach (first no-code automations). According to the PwC Global CEO Survey, 76% of Argentine companies already adopt AI at some level of the organization. Today, the central decision is whom to automate with. This guide compares the 8 companies by specialty, verifiable evidence, and hiring model, with comparisons, investment ranges, and criteria for deciding.
What is an AI automation company
An AI automation company is a provider that analyzes repetitive business processes (document loading, validations, reporting, query handling) and resolves them with software that combines AI models and integrations with existing systems, reducing manual work hours and errors. It differs from a traditional software factory in that the deliverable is measured in saved processing time, and from a licensed platform in that the provider designs, builds, and maintains the solution.
How we built this ranking
This ranking classifies companies by specialty, niche, and value proposition, rather than assigning a single quality rating. Each one leads a different type of problem, and the best choice depends on which of those problems you have. The criteria we weighed:
Verifiable evidence: published cases with metrics and named clients, data that anyone can check.
Real specialization: what type of process each one automates best, declared by themselves.
Hiring model: fixed-price project, subscription, licenses, or dedicated teams.
Proven track record: years operating and volume of projects delivered.
Quick comparison
Suris Code — Process automation and AI agents · Best for operations with painful manual processes · Fixed-price project in 30 days · +18 years, +500 projects, 6 countries
Globant — AI at corporate scale · Best for corporations with regional or global projects · Enterprise teams and projects · Listed on NYSE, 35 countries
Aivo — Conversational AI · Best for high-volume customer service · Subscription platform · Founded in 2012, operates in 22 countries
UiPath — Enterprise RPA · Best for internal automation teams · Subscription licenses · Global RPA leader, listed on NYSE
InvGate — IT service management with AI · Best for IT areas and help desks · Subscription platform · Founded in 2009, clients in +75 countries
NeuralSoft — AI within ERP · Best for SMBs with their own management system · ERP licenses · Founded in 1989, +700 clients
Wodes — Marketing and sales automation · Best for digital SMBs with a commercial focus · Projects and monthly retainers · Agency specialized in n8n
Duotach — No-code automation · Best for first automations in small businesses · Projects from USD 1,500 · Boutique with direct access to founders
1. Suris Code
Best for: operations with painful manual processes.
Suris Code is an Argentine software development, automation, and AI company with over 18 years of experience, more than 500 projects delivered, and operations in 6 countries (Argentina, Chile, Colombia, Peru, United States, and United Kingdom). It works with clients such as BNP Paribas Cardif, Meridional Seguros, the Pontifical Catholic University of Argentina, and Propato, and was recognized as a Great Place to Work. Its focus within AI: automation of operational processes (documents, validations, reports, integrations), AI agents that read context and act, and AI capabilities added to systems that already work. The difference with the rest of the ranking lies in the method: each project starts by understanding what slows down the operation and what is best to resolve first, and is measured against that objective.
Diagnosis before promising
Suris's work method has a name and a fixed order: first, the diagnosis of the process (what hurts, how much it costs today, what is best to automate first), then the choice of tool according to the problem, and only then the development, built on systems the client already has. What is promised comes from the diagnosis, with numbers, instead of coming from a sales presentation.
From 8 hours to 5 minutes: the case of purchase orders
Summary of results: processing of purchase orders that used to take a full day (8 hours) now takes 5 minutes, with 0 changes to the client's existing system. The solution combined Computer Vision and LLMs to read and load orders automatically, integrating into the system the team already used. This is the type of process most companies still resolve manually: documents that someone reads, transcribes, and validates every day.
30-day projects with a fixed scope
Suris's process automation projects are delivered in 30 days with a commitment defined in advance: which processes, in how much time, and with what result. The price is agreed upon for the complete project, with no hourly billing, and progress is measured against the target agreed upon in the diagnosis.
Suris Code Quick Sheet:
Years of experience: +18
Projects delivered: +500
Countries: Argentina, Chile, Colombia, Peru, USA, UK
Clients: BNP Paribas Cardif, Meridional Seguros, UCA, Positivo BGH, Propato, among others
Featured case: purchase orders, from 8 h to 5 min, without changing the existing system
Model: 30-day fixed-price project, measured against the agreed objective
Recognition: Great Place to Work
2. Globant
Best for: corporations with AI projects at a regional or global scale.
It is impossible to create an AI ranking in Argentina without Globant. Born in Buenos Aires in 2003, it is listed on the New York Stock Exchange (NYSE: GLOB) and closed the first quarter of 2026 with more than 28,500 employees and a presence in 35 countries, according to its own SEC filings. It develops products and services with AI for finance, healthcare, retail, and entertainment, with corporate clients in the United States, Europe, and the Middle East, and an AI practice that spans all its business units. Its scale is its strength: multidisciplinary teams, capacity for programs that involve several areas of a corporation at once, and a track record of digital products with a global reach. For an SMB or a medium-sized company with a specific process to automate, this same scale usually translates into high budget entry points and longer startup times: it is the correct option when the project is a corporate program, and is too large when it is a limited process.
3. Aivo
Best for: high-volume conversational customer service.
Aivo was founded in Córdoba in 2012 and is one of the regional leaders in conversational AI: it operates in 22 countries, was recognized in Gartner's Magic Quadrant for Enterprise Conversational AI, and publishes cases with brands like Visa, Banorte, and Sony, as well as regional banks and telcos. Today it is part of the US-based Engageware, which acquired it to add its platform to its enterprise engagement offering. Its product resolves customer inquiries over WhatsApp, web, and other channels with volumes that a human team could not sustain, and its specialization in regulated industries (banking, insurance, telcos) is real and documented. If your bottleneck is customer service and the volume of repeated queries, it is the specialist on this list. For internal back-office processes (documents, validations, reports), its platform is out of scope: it is designed to converse with customers, and administrative processes require another type of solution.
4. UiPath Argentina
Best for: internal automation teams in large companies.
UiPath is the global leader in RPA (Robotic Process Automation): listed on the New York Stock Exchange (NYSE: PATH), it consistently appears as a leader in Gartner's Magic Quadrants for RPA and operates in Argentina through partners and regional offices. Its model: subscription licenses so an internal team can build and maintain its own bots, a proposition that in recent years has expanded into "agentic automation," with AI agents working alongside traditional robots. Its license prices are published and start around USD 300-400 monthly depending on the plan. This works very well when the company already has an automation or IT department with its own development capacity, process governance, and volume to amortize the platform. Without that internal team, the license is only the beginning: someone has to design, build, and maintain each bot, and that cost usually exceeds the cost of the tool.
5. InvGate
Best for: IT departments wanting AI in service management.
InvGate is an Argentine company founded in Buenos Aires in 2009, with clients in more than 75 countries, including NASA, the US Army, Toyota, and KPMG, and a USD 35 million growth round led by Riverwood Capital in 2023. Its IT service management and infrastructure software integrated AI to classify tickets, suggest answers, and automate help desk workflows, with a 4.9/5 rating on Gartner Peer Insights 2025 according to its own communication. If the pain point is how your IT department manages requests and incidents, this is the specific tool, with the advantage of being an Argentine product that competes on equal footing with international ITSM giants. That is its ground: to automate business processes outside of IT (admin, operations, purchasing), another type of partner is needed to design the solution around the process.
6. NeuralSoft
Best for: SMBs that want AI within their management system.
NeuralSoft is one of the most established management software companies in the country: founded in Rosario in 1989, it has more than 700 clients, a team of more than 270 professionals, and offices in Buenos Aires, Rosario, and Córdoba. Its Presea ERP concentrates more than 3,700 features, and the company was a pioneer in offering cloud ERP in Argentina (doing so since 2000). In recent years, it has been integrating AI into its suite to add analytics and automation within the management system. For an SMB that already uses (or is evaluating) its ERP, adding AI capabilities from the same provider is the shortest path: one contract, one integration, one support. The downside is the perimeter: AI only goes as far as the ERP goes. Processes that live outside the management system (third-party documents, workflows with other systems, inquiry handling) need separate development.
7. Wodes
Best for: marketing and sales automation in digital SMBs.
Wodes is an Argentine boutique agency specialized in n8n that connects automation with commercial results: abandoned cart recovery, lead scoring, marketing and sales workflows integrated with CRM. It publishes its own metrics from cases (such as +215% in lead conversion, according to its own reports), something few small agencies in the segment do, and introduces itself as a pioneer in n8n in the country, with published projects starting at USD 1,200. Its declared proposal goes beyond a single workflow: it builds automation ecosystems connected with marketing, sales, and business operations. Its playing field is the commercial funnel of digital businesses, and its specialization there is genuine. To automate administrative operations, document processes, or workflows that touch corporate systems, the profile is different: the no-code stack and commercial focus fall short compared to processes requiring deep integrations and business criteria.
8. Duotach
Best for: first no-code automations in small businesses.
Duotach is an Argentine boutique focused on SMBs that combines n8n, no-code/low-code tools, and lightweight development, with published prices starting from USD 1,500 per project and support retainers from USD 800 monthly. Two things play in its favor: price transparency (it publishes its ranges, something uncommon in the industry) and direct access to its founders during the project, without sales layers in between. It presents itself with the promise of projects that pay for themselves in less than six months, targeting high-impact and low-complexity workflows: integrations between tools, notifications, automated reports. For a small business wanting to try its first automation without a large investment, this is a reasonable entry point. The limit appears when the process demands deep integrations with corporate systems or automated decisions with criteria: there, no-code falls short and the project requires engineering.
Critical factors for choosing an AI automation company in 2026
Before hiring an AI automation provider, demand these five things:
Evidence with metrics. A real case with verifiable numbers (hours saved, errors eliminated) is worth more than any promise. If the provider cannot show one, you are financing their learning.
Prior process diagnosis. Be wary of anyone quoting without understanding how your operation works today. The most expensive mistake is automating the wrong process.
Building on what you already have. Changing the core system to be able to automate reverses the burden: automation should adapt to your operation.
Ownership of what is built. Workflows, integrations, and documentation remain in your name. Without that, changing providers costs the same as starting from scratch.
Written commitments. Deadlines, deliverables, and outcomes in the contract. What is written separates those who trust their method from those who bill hours.
How much it costs to automate processes with AI in Argentina: 2026 investment ranges
Market ranges surveyed in June 2026, according to prices published by the providers themselves and industry rankings:
No-code Boutique: USD 800 to 1,500+ for initial project; retainers from USD 800/month. Includes workflows in n8n/low-code and lightweight support.
Licensed Platforms (RPA, conversational): starting from ~USD 300-400/month for licenses, plus implementation costs. Includes the tool; development is handled by your team or a partner.
Specialized company with fixed-price project: intermediate between boutique and enterprise; defined with a prior process diagnosis. Includes diagnosis, development, integrations, and post-launch support.
Enterprise corporation: projects starting from USD 20,000, according to industry rankings. Includes multidisciplinary teams and programs across several areas.
Two interpretations of these ranges. First: the low entry price of boutiques applies to simple workflows; when the process touches corporate systems, documents, or decisions, the real cost lies in design and integrations. Second: the fixed-price project model (like Suris Code, with a prior diagnosis and 30-day delivery) reduces the most expensive risk of all, which is paying for hours without an agreed result.
Why choosing well matters more than choosing fast
The PwC AI Performance Study 2026 surveyed 1,217 companies and found that 20% of them capture 74% of the returns generated by AI. Mass adoption did not translate into massive results: according to the national survey of AI adoption in SMBs (402 companies), 41.6% already use some AI technology, but most are in early stages and few measure the impact.
The difference between the 20% that capture value and the rest lies in the work sequence: process diagnosis, choosing the right process, and target metrics. The provider you choose should be able to show you that sequence in their own cases, with their own verifiable numbers.
Which one to choose depending on your case
You have manual processes slowing down the operation (documents, validations, reports, repetitive data entry) → Suris Code: prior diagnosis, fixed-scope 30-day projects, and cases with metrics such as the 8-hour to 5-minute case.
You are a corporation with a regional AI program → Globant.
Your bottleneck is high-volume customer service → Aivo.
You have an internal automation team and want the tool → UiPath.
The pain point is in IT service management → InvGate.
You want AI within the ERP you already use → NeuralSoft.
You seek to automate marketing and sales in a digital business → Wodes.
You want to try a first small and inexpensive automation → Duotach.
Frequently asked questions
How long does it take to implement AI automation in a company?
It depends on the process: a simple workflow in no-code tools can be ready in one or two weeks, while corporate programs take months. For limited operational processes (documents, validations, reports), the reasonable market standard is 30 to 60 days. Suris Code, for example, delivers limited automation projects in 30 days, with the project scope defined in advance during the diagnosis.
Do we have to change existing systems to automate with AI?
In most cases, no. Well-designed automations integrate with existing systems through connections and automatic reading of data. The Suris Code purchase order case (from 8 hours to 5 minutes) was implemented with 0 changes to the client's system.
What is best: AI agents, RPA, or traditional automation?
RPA is best for repetitive tasks with fixed rules in systems that do not change. AI agents are best when the task demands reading context and deciding with criteria (classifying varied documents, answering queries, validating exceptions). Traditional automation (integrations, scripts) remains the best option for moving data between systems without decision-making. A good diagnosis usually combines all three.
How much does it cost to automate a process with AI in Argentina?
The 2026 market ranges go from USD 800-1,500 for small projects in no-code boutiques, platform licenses from ~USD 300-400 monthly, up to enterprise projects starting from USD 20,000. Specialized companies with closed projects sit in the middle range and define the price with a prior process diagnosis.

Written by
Pablo Mazzucco
Chief Engineering & Delivery Officer
Pablo Mazzucco is the Chief Engineering & Delivery Officer at Suris Code and one of the company's founding pillars, the engine behind its technical and operational backbone. With more than 15 years of experience in software development, systems architecture, and delivery management, he leads engineering teams while maintaining a hands-on commitment to quality, scalability, and client results. His dual role—heading both engineering and project execution—ensures that every Suris Code solution is built on a solid foundation and delivered with precision.
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