// AI agents
54 Solutions builds custom AI agents for small and medium businesses. We work with teams in Lima, across Latin America, and in the US and UK, and we build in English and Spanish.
An AI agent is not a chatbot bolted onto your website. It reads what comes in, decides what to do with it, and takes the next step inside the tools you already use: your inbox, WhatsApp, your CRM, your spreadsheets. When something falls outside what it should handle, it passes the case to a person on your team.
We start by finding where an agent would actually save your team time, and we're upfront when a simpler automation would do the job better.
Most SMB teams lose hours to work that needs a bit of reading and judgment but not much expertise. Someone opens an email, works out what the customer wants, copies the details into another system, and replies. Then does it again forty times before lunch.
That's where an agent fits. It handles the first pass on messy, variable input like emails, chat messages, PDFs and free-text forms, then follows the rules you set for what happens next. Your team stops doing the copying and spends its time on the cases that need a person.
A well-built agent also knows its limits. When it isn't confident, it doesn't guess. It routes the case to someone on your team with the context already summarized.
Answers common questions on WhatsApp, email or web chat, checks order status in your systems, and handles routine requests like tracking or returns. Anything sensitive or unusual goes to your support team with the conversation attached. It can reply in Spanish or English depending on how the customer writes.
Reads new inquiries as they arrive, asks the follow-up questions your sales team would ask, and sorts leads by fit and urgency. Qualified leads land in your CRM with a short summary and an owner assigned, so your salespeople start with the good conversations instead of digging through the inbox.
Takes orders, requests or documents that arrive in different formats, pulls out the details, and moves them into the right system. Think order intake, dispatch updates, invoice processing or quote preparation. The agent handles the routine flow and flags the exceptions for your ops team.
Gives your team one place to ask questions about your own procedures, policies, product details and past work. It answers from your documents, points to where the answer came from, and helps new hires get up to speed without interrupting the same senior people all day.
We start by learning how your team actually works: where requests come in, who touches them, and where time gets lost. We look at your tools and your data, and we tell you honestly which steps need an agent, which ones only need plain automation, and which should stay with a person.
You get a written scope that spells out what the agent will do, which systems it connects to, how it hands off to your team, and how we'll measure whether it's working. You also get a quote for that scope. Nothing gets built until you've reviewed both and agreed.
We build the agent, connect it to your tools, and test it against real examples from your business before it goes live. Then we work alongside your team during rollout so they know how to use it, review it, and correct it.
Launch isn't the end of the project. We monitor what the agent is doing, review the cases it escalates, fix integrations when something on your side changes, and keep tuning it as your business changes.
These figures come from client projects shown on our homepage.
An AI agent handles order intake and dispatch updates across WhatsApp and email. The ops team now deals only with the exceptions.
A bilingual support assistant answers questions, processes refunds and tracks orders around the clock, and escalates only what truly needs a human.
Quotes and proposals are drafted, priced and sent automatically from a simple intake form.
Usually one workflow to start, not your whole business. The scope covers the job the agent does, the systems it connects to, where people review its work, and what success looks like. Starting narrow means you see results sooner and can decide what to automate next based on real numbers.
It depends on the workflow and how many systems are involved. We'll give you a timeline in the scope document. Most first projects ship in three to six weeks.
We work inside your own tools and accounts, give the agent only the access it needs, and never train public models on your data. For actions that carry real risk, like refunds or anything touching payments, we build in a human approval step.
We stay on to monitor and maintain the agent. That includes checking its answers, reviewing escalations, updating it when your processes or tools change, and fixing anything that breaks. You won't be left with a system nobody on your side knows how to look after.
Maybe not, and we'll tell you. If a process is predictable and the data is already structured, simple rule-based automation is often cheaper to run and easier to maintain. AI earns its place when someone has to read and interpret something before the next step can happen. Many of the systems we build use both.
Yes. Our team works in both languages, and the agents we build can serve your customers and staff in Spanish, English, or whichever one they write in.
On a free strategy call we'll look at your workflows together and tell you where an AI agent would make a difference, and where it wouldn't.
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