Pricing guide · 2026
How much does it cost to implement AI in your company?
Real numbers instead of "it depends". Market reference ranges, the costs most quotes hide, and a calculator that estimates savings and payback for your specific volume.
Go to the calculatorThe short answer
How the investment is structured
A production-grade AI agent on one workflow, in three stages. A fixed quote at every stage, no surprise invoices.
01
AI Audit
Fixed fee, 10 days
10 business days. Workflow map, ROI analysis, and a fixed-price build scope. You know exactly what to automate and what it costs before spending more.
02
Agent Build
Fixed-scope quote
4 to 6 weeks. One AI agent deployed on your highest-impact workflow, running on your real data. Fixed scope, fixed price.
03
Managed Service
Flat monthly fee
Ongoing operation: monitoring, evaluation, model updates, and continuous optimization. The part most quotes leave out.
AI implementation costs in Mexico: Guadalajara, Monterrey and CDMX
Pricing works the same across Mexico. We operate remotely from Mexico City and Santiago, so a business in Guadalajara or Monterrey gets the same fixed quote for the same scope, with WhatsApp, CFDI invoicing, and local ERP integrations included.
If you run a call center in Monterrey, voice analytics is usually the highest-ROI starting point.
Interactive tool
Run your own numbers
Estimate your cost and ROI
This estimate uses conservative assumptions and editable LatAm market figures for the build and monthly operation: adjust them to your real quote. The 10-day audit turns these numbers into a fixed-price proposal for your real operation.
Workflow to automate
documents, calls, conversations, records
salary, benefits, supervision, and tools
Recommendation for this case
Solid case: build now
You save $7,200 per month and the build pays for itself in 10.8 months. From year 2 onward this workflow returns $44,400 per year. The numbers justify building now.
Gross monthly savings
$7,200 per month
Current manual cost
$9,000 per month
Break-even point
10.8 months
Annual savings from year 2
$44,400
Team freed up
5.0 FTE
9,600 hours per year
Reference estimate, not a quote.
Best for high volume
Build your own agent
Higher upfront investment, lowest cost per item, and the agent is yours. Makes sense when the calculator shows payback under 12 months.
Best for validating fast
Managed operation
Lower risk: with a flat monthly operation fee you validate real savings before committing to the full build. Most clients start here on borderline cases.
Best when volume is low
Not automating yet
If savings do not cover operation, the honest answer is wait. The audit maps which of your workflows does have the volume to justify it.
Context
Market reference ranges
Not every "AI implementation" is the same product. These are the three tiers we see in the LatAm market in 2026:
Simple chatbot (no-code / SaaS)
$50 - $500 USD/mo
FAQ answers, basic flows. No deep integration with your systems, limited accuracy on real operations.
Custom AI agent on one workflow
$20,000 - $80,000 USD
Integrated with your systems, evaluated against your data, operated in production. This is where measurable ROI lives.
Multi-agent platform / deep transformation
$100,000+ USD
Several workflows, custom infrastructure, compliance requirements. Usually reached in stages after the first agent proves ROI.
What moves the price
The five real cost drivers
Integration depth
An agent that reads and writes into your ERP, CRM, or core system costs more than one that works on email and spreadsheets. Integration is usually the largest cost driver.
Accuracy requirements
Going from 90% to 99% accuracy can double the work: evaluation datasets, human review loops, edge case handling. Regulated industries sit at the expensive end.
Volume and modality
Text is cheapest. Voice, images, and PDFs with tables cost more to process reliably. High volume raises infrastructure cost but improves ROI per item.
Who operates it
Models change, edge cases appear, prompts drift. An agent nobody monitors degrades in months. Budget operation from day one: in-house team or managed service.
Discovery quality
Most budget overruns come from automating the wrong workflow. A paid audit before building is the cheapest insurance in the whole project.
Our approach to all five: a fixed-price audit first. In 10 days you get the workflow map, the ROI math, and a fixed build price. If the numbers do not work, you spent a fixed audit fee to avoid spending $50,000.
FAQ
Cost questions, answered
How much does it cost to implement AI in a company?+
For a production-grade AI agent on one business workflow in Latin America, the market typically runs $20,000 to $80,000 USD for the build over 4 to 6 weeks, plus monthly managed operation. We quote a fixed price after a 10-day audit. Simple no-code chatbots cost far less but rarely move operational metrics; multi-workflow platforms cost several times more.
How much does it cost to create an AI from scratch?+
Training a foundation model from scratch costs tens of millions of dollars and almost no company should do it. What businesses actually build are agents and applications on top of existing models (Claude, GPT, Gemini), which costs tens of thousands, not millions. When someone asks the price of "creating an AI", this is nearly always what they need.
How much does an AI virtual assistant for my business cost?+
A basic SaaS chatbot runs $50 to $500 USD per month. A custom assistant that quotes, charges, and follows up on your own WhatsApp number, integrated with your catalog and payments, is a project in the $20,000 to $80,000 range plus monthly operation. The difference is whether it answers questions or actually closes sales.
How much does it cost to keep AI running in production?+
Plan for $2,000 to $8,000 USD per month per agent: model API usage, infrastructure, monitoring, evaluation, and the engineering time to handle model updates and new edge cases. Our managed service covers all of it for a flat monthly fee. An unbudgeted operation line is the most common reason AI projects die after launch.
How much does AI implementation cost in Mexico and Latin America?+
Market figures put the same project at $150,000+ USD from US consultancies, and commonly in the $30,000 to $80,000 USD range across the LatAm market, which also brings Spanish-language data and local integrations (WhatsApp, local ERPs, CFDI). Those are market ranges rather than a quote. What any specific build costs depends on its scope and the state of your data, which is why we price only after an audit. We operate from Mexico City and Santiago and serve companies in Guadalajara, Monterrey, and across the region remotely.
Why do AI projects go over budget?+
Three causes dominate: automating a workflow that was never measured (no baseline, no ROI), discovering integrations mid-project, and skipping evaluation until users find the errors. All three are prevented by a structured audit before building, which is why we sell the audit separately and fix the build price afterward.
What are artificial intelligence prices for companies in 2026?+
Artificial intelligence prices for companies in 2026 fall into three tiers: an audit or diagnosis phase, building a production agent on one workflow (market range $20,000 to $80,000 USD), and monthly managed operation. SaaS chatbots run $50 to $500 per month but do not integrate deeply with your systems. Serious vendors quote fixed prices after scoping.
Before you commit
Cost is only one of the questions
A number on its own does not tell you whether a provider is worth hiring. Who owns the code, whether anyone measured your baseline before quoting a return, and who operates the system after launch all decide what you actually get for the money. The eight questions to ask an AI vendor. If you already run a packaged platform, check whether you have outgrown it. And to see how we build, this is what an AI and software factory does.
Next step
Stop hiring. Deploy an AI agent.
Book your AI audit. In 10 days you'll know which workflows to hand off to an AI agent, the expected savings, and a fixed-price agent build scope. We build it. Then we run it.
20 minutes. No pitch deck. No commitment.