AI for business
Spidev is an AI company based in Monterrey, Mexico. We design, build and operate AI agents that work inside your tools — WhatsApp, CRM, ERP, email — so your team stops doing repetitive work.
For most companies, AI is about taking repetitive manual work off the team: answering and qualifying customers on WhatsApp, keeping the CRM up to date, reconciling payments, building reports or screening candidates. Today that is done with AI agents: systems that understand an instruction, use your tools and execute the work end to end, with human oversight where it matters.
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The clearest returns come from work that combines high volume, known rules and several tools. These are the ones we implement most:
A chatbot answers questions. A traditional automation runs fixed steps: if A happens, do B. An AI agent combines both: it understands a request in natural language, decides which tools to use and runs the whole workflow — for example, reading a WhatsApp message, looking the customer up in the CRM, checking their invoices in the ERP and sending a payment reminder.
In practice most companies need a mix: automations for what is always the same and agents for what needs judgment. Part of our AI consulting is telling you which fits each process.
It depends on the number of agents, the systems to integrate and whether the provider also operates the solution after delivery. Industry guides place basic automation projects between MXN $80,000 and $250,000 and mid-complexity projects between MXN $300,000 and $1,200,000 (see our guide to AI agencies in Mexico).
On top of that come monthly operation and usage, which grows with your volume: as of October 2026, AI models charge from US$0.10 to US$10 per million input tokens depending on the model, and in Mexico Meta charges between US$0.0085 and US$0.0397 per WhatsApp message depending on the category. We break it down with a worked example in how much AI implementation costs.
We don’t quote blind: we start with a free consultation, map your operation and hand you a fixed-scope, fixed-price proposal before charging anything. If we don’t see a clear case, we tell you.
We work in four steps — audit, design, implement and optimize — and ship the first agents to production in weeks, not months. We build in short cycles so you see real results from the start, not slide decks.
Each agent gets only the permissions it needs, access is handled with OAuth and encrypted keys, and every action is logged with metrics. Your data stays yours and the decisions that matter go through a person on your team.
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.
Using AI models — such as Claude or GPT — connected to a company’s systems to do real work: serving customers, qualifying leads, reconciling payments, building reports or screening candidates. Unlike using an AI chat on your own, the AI works inside your tools and processes, with permissions, logs and oversight.
For drafting, analysis and research, often yes: an assistant such as ChatGPT, Claude, Copilot or Gemini makes each person faster. An AI agent makes sense when the work is a whole process — every time a WhatsApp message or an invoice arrives, do something in your CRM or ERP — with permissions, logs and a person approving what matters. We compare them in ChatGPT for business vs. AI agents.
Size matters less than having a repetitive process with enough volume — for example, many WhatsApp conversations a day or weekly reconciliations. In the free consultation we tell you whether there is a clear case; if there isn’t, we tell you that too.
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. Spidev starts with a free consultation and delivers a fixed-scope, fixed-price proposal before charging anything.
We ship the first agents to production in weeks. Because we build in short cycles, you see measurable results within the first weeks, not at the end of a long project.
Every agent is designed with human oversight where it matters: it escalates to a person when a case is out of the ordinary and every action is logged for review. After delivery we monitor and tune the agents continuously.
Yes. We are based in Monterrey, Mexico, and work with companies across Mexico, Latin America — including Colombia, Chile, Peru and Argentina — and beyond, in Spanish and English.
Book a free consultation. We'll analyze your business and show you exactly where AI can create value — no commitment.
SPIDEV.