AI automation agency
Spidev is an AI automation agency based in Monterrey, Mexico. We find the repetitive work that eats your team’s week and automate it with AI agents inside the tools you already use — WhatsApp, CRM, ERP, email and spreadsheets.
AI process automation means AI agents doing the repetitive work your team does by hand today — answering the same questions, moving data from one system to another, following up on payments, building reports — inside the tools you already use. Unlike traditional automation, an AI agent understands messages and documents in natural language, so it can also handle the steps that used to need a person reading and deciding. Anything that matters still goes through a person on your team.
Updated
We start with the workflow your team repeats every day. These are the most common:
Traditional automation runs fixed steps — if A happens, do B — and works well as long as the data always arrives the same way. It gets stuck when a customer phrases something differently, when a document changes format or when something needs a decision. An AI agent covers that part: it reads, interprets and decides which tool to use to finish the job.
In practice we combine both: rules for what is always the same and agents for what needs judgment. We break down the differences in AI agent vs. chatbot vs. RPA.
The clearest returns come from processes that combine high volume, known rules and several tools. In the audit we find them, rank them by impact and hand you a fixed-scope, fixed-price proposal. If we don’t see a clear case, we tell you. To run the exercise yourself, start with our guide on which processes to automate with AI first.
Automating does not mean letting go of control. Each agent gets only the permissions it needs, access is managed with OAuth and encrypted keys, every action is logged and unusual cases are escalated to your team with full context. Important decisions go through a person.
We start with a free consultation and deliver a fixed-scope, fixed-price proposal before charging anything. We take the first agents to production in weeks, not months, and then stay on to run them: we monitor and tune them as your operation changes.
We are based in Monterrey, Mexico and work with companies across Mexico, Latin America and beyond, in Spanish and English.
How we work
01
We analyze your processes and data to find where AI generates the highest return — you leave with a clear, prioritized diagnosis.
02
We map your flows and design the solution — architecture, agents and integrations — before writing a single line of code.
03
We build, integrate and ship to production in short cycles. You see real results, not slide decks.
04
We measure, tune and expand. Your agents improve with every interaction and scale with your business.
It means using AI agents connected to your company’s tools to run repetitive work end to end: read a message or a document, check your systems, take the action and log it. Unlike fixed-rule automation, an AI agent understands natural language and can handle cases that don’t always arrive the same way.
Yes, if it is a few simple automations between apps with standard connectors and someone on your team has time to build and maintain them. An agency makes sense when there are several systems — including your ERP —, WhatsApp at volume, customer personal data or costly errors, and nobody to own monitoring. We compare them in n8n, Make, Zapier or an AI agency.
Processes with high volume and known rules that live in digital tools: answering and qualifying WhatsApp leads, CRM updates, support replies, collections, payment reconciliation, reports, CV screening and interview scheduling, among others.
No. The agents work inside the tools you already use: WhatsApp, CRMs such as HubSpot or Salesforce, ERPs such as SAP, email and spreadsheets. We connect 128+ integrations.
That is not the goal. We automate the repetitive work so your team can spend its time on customers and decisions. Important decisions still go through a person, and the agents escalate to your team when a case needs it.
It depends on the number of agents and the systems to integrate. As a reference, industry guides place a basic automation project between MXN $80,000 and $250,000 and a mid-complexity one between MXN $300,000 and $1,200,000, plus AI model and WhatsApp usage; we break it down in how much AI implementation costs. We start with a free consultation and deliver a fixed-scope, fixed-price proposal before charging anything.
Every action is logged for review, unusual cases are escalated to a person on your team and, after delivery, we monitor and tune the agents continuously.
Book a free consultation. We'll analyze your business and show you exactly where AI can create value — no commitment.
SPIDEV.