# AI for Business: Agents and Automation | MTechnology > AI for mid-sized companies: agents and process automation that serve customers, read documents and record in your ERP. Pilot in weeks. URL: https://mtechnology.co/en/services/artificial-intelligence Actualizada: 2026-10-08 --- [← Services](https://mtechnology.co/en/services) # Artificial intelligence for business that works in your operation, not in a demo We automate repetitive tasks, put AI agents to work answering customers at any hour and turn your data into decisions. Without you having to understand models. [Book a free assessment](https://mtechnology.co/en#contacto) Now Replying to a client in Mexico MTechnology agent · online 10:47 p.m. Do you deliver to Medellín? I need 200 units by Friday. Yes. There are 340 units in the Medellín warehouse. I can reserve your 200 and schedule delivery for first thing Friday. Shall I confirm? Confirmed. Done: order #4821 created, stock reserved and invoice sent to your email. Have a good night. Example of an agent conversation Answers customers · Processes invoices · Books appointments · Forecasts demand · Scores leads · Reconciles payments · Reads contracts · Watches inventory · Answers customers · Processes invoices · Books appointments · Forecasts demand · Scores leads · Reconciles payments · Reads contracts · Watches inventory · What it solves ## If your team does it a thousand times a month, AI can probably do it 01 ### Customer service that never sleeps Agents that answer customers on WhatsApp, web or email around the clock, hand off to a human when needed and log everything. 02 ### Paperwork that processes itself Invoices, orders, résumés, medical records: AI reads the document, extracts the data and puts it into your system with no manual data entry. 03 ### Decisions based on data, not gut feeling Demand forecasts, lead prioritization, operational alerts: dashboards that tell you what is going to happen, not just what happened. 04 ### AI inside the software you already use No need to switch systems: we connect AI to the tools you already use — your ERP, your CRM, your spreadsheets. Before you choose ## AI agent or chatbot: the difference ### A chatbot It answers from scripts: it recognizes the question and returns the text someone wrote in advance. It works for frequently asked questions. When the answer depends on data from your operation —whether there is stock, where an order stands— it does not have it. ### An AI agent It queries your systems —ERP, CRM, inventory—, answers with the real data and carries out the action: it creates the order, books the appointment, logs the case. When a request goes past a threshold you define, it escalates to a person with the full context. The difference is not in how it talks, but in what it can do inside your operation. An example applied to complaints and customer requests: [Eliot, AI customer service](https://mtechnology.co/en/support-360). The difference, live ## The same order, two speeds Today, by hand 3 days · 4 people · data entry errors Order comes in Someone types it in It gets approved Customer gets a reply With MTechnology AI 4 seconds · 0 data entry · recorded in your system Order comes in AI reads and validates it Records it in your ERP Customer confirmed While the flow above completes one loop, the one below has already processed four orders. That is the difference you feel in your cash flow. ![Team working at night in the office, lit by desk lamps](https://mtechnology.co/_astro/operacion-nocturna.CrIT57Cc_2561uS.webp) While you read this ## Our agents are serving customers on four continents What's included ## What an artificial intelligence project for your company includes ### Process assessment We identify where AI pays off: which task, how many hours it costs today and how much it would save. ### A pilot in weeks A first use case running on real data before you commit to the full project. ### Integration and launch Connection to your systems, team training and hands-on support through adoption. ### Operation and improvement We monitor response quality and results month after month. Unsupervised AI degrades; ours doesn't. Return ## How we measure whether AI pays off An AI project is justified by a comparison, not a promise. We do it in three steps. 01 ### Baseline in the assessment Before building, we measure the task as it is today: hours per month it takes, response time and data-entry errors. 02 ### Pilot with real data The first case runs on your operation, not on sample data, and measures the same things as the baseline. 03 ### Comparison after one month After a month the two measurements are compared, before and after. With that figure, which is yours, you decide whether the project continues. Success stories ## Measured results, not promises [See the full portfolio →](https://mtechnology.co/en/portfolio) Logistics · Colombia −38% cycle time per order We automated the intake and recording of orders that used to be typed into the TMS by hand. Retail · Mexico 24/7 service with no missed calls An AI agent answers questions and takes orders after hours, when they used to be lost. Services · Spain 0 hours of manual invoice entry AI reads supplier invoices and reconciles them directly against the accounting system. In production ## Eliot: the AI we already run ourselves [Eliot, the AI customer service layer](https://eliot.lat), centralizes operations and automates day-to-day decisions with artificial intelligence. It is our own product: what we propose to you, we already run ourselves. ![Timeline of one day of operations in ELIOT: five moments on a Tuesday, with the schedule recovering three open slots](https://mtechnology.co/_astro/eliot-ciclo-24-horas.UoRTMizk_2vVvg2.webp) [See the solutions we have built →](https://mtechnology.co/en/portfolio) ## Frequently asked questions ### Do I need organized data to get started? No. Part of the assessment is evaluating what data you have and what shape it is in. Many projects start with spreadsheets and emails. ### Will AI replace my team? We use it to remove repetitive tasks, not people: your team moves from data entry to supervising and handling what actually requires judgment. ### What about the confidentiality of my data? We sign a confidentiality agreement, comply with our personal data processing policy, and your data is not used to train third-party models. ### How much does an AI project cost? It depends on the process. That is why the first step is a free assessment: you get an estimate of the investment and the savings before you decide. ### Can you work with us from another country? Yes: remote teams with weekly deliveries and clients in 11 countries. ## Which process hurts the most? Let's start there. A 30-minute assessment, free of charge and with no commitment. [Book an assessment](https://mtechnology.co/en#contacto)