Pricing guide · 2026
How much does it cost to implement AI in your company?
Real numbers instead of "it depends". Published prices, 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
Our published pricing
A production-grade AI agent on one workflow, in three stages. Fixed prices, no surprise invoices.
01
AI Audit
From $5,000 USD
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
From $30,000 USD
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
From $3,000 USD/mo
Ongoing operation: monitoring, evaluation, model updates, and continuous optimization. The part most quotes leave out.
Interactive tool
Run your own numbers
Estimate your cost and ROI
Reference estimate using our published pricing: build from $30,000 USD and managed operation from $3,000 USD per month. The audit turns this into a fixed quote for your real workflow.
Workflow to automate
documents, calls, conversations, records
salary + benefits + overhead of the people doing this today
Current manual cost
$14,400 per month
Gross monthly savings
$11,520 per month
1,280 hours freed per month
Payback
3.5 months
First-year ROI
109%
First-year net result
$72,240
Reference estimate, not a quote. Assumes one agent, build amortized in year one, operation from $3,000 USD/month. The 10-day audit delivers exact numbers for your workflow at a fixed price.
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. Our builds start at $30,000.
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 $5,000 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: an audit from $5,000 USD, a build from $30,000 USD taking 4 to 6 weeks, and managed operation from $3,000 USD per month. Simple no-code chatbots cost 10x 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 starts at $3,000 USD per month and covers all of it. 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?+
The same project quoted at $150,000+ USD by US consultancies is typically $30,000 to $80,000 USD with a specialized LatAm team, with the added advantage of Spanish-language data and local integrations (WhatsApp, local ERPs, CFDI). 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.
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.