Smarter operations with
AI-powered task automation
We add AI steps to the workflows you already run. A model reads the email, pulls the fields off the invoice or scores the lead, and the workflow carries on without a person in the middle. You can see every decision it made.
Intelligent automation, end to end
Reading, sorting and scoring used to need a person. A model can now do the first pass, and your team checks the cases that matter.
Email classification & routing
Incoming mail is read, categorized, and routed automatically to support, billing, sales, or escalation.
Chatbots & query handling
AI bots answer customer questions, start workflows, and open tickets around the clock.
Sentiment analysis
Understand the tone behind messages and reviews to prioritize responses and spot risk early.
Invoice & document processing
Extract, validate, and file data from invoices and documents, with no manual data entry.
Predictive lead scoring
Rank inbound leads by likelihood to convert so your team focuses on the highest-value prospects.
MCP servers for your data
Let ChatGPT or Claude answer questions from your Zoho Books, Inventory or CRM data through an MCP server we build, read-only by default.
From idea to intelligent automation
Three steps, and a person stays in control at each one.
Identify high-impact areas
We collaborate with you to find the tasks where AI saves the most time, fast.
Design & deploy
We pick the model and build the workflow around it, starting with the cheapest model that does the job well.
Integrate with your stack
It plugs into your CRM, helpdesk or inbox through the tools you already use.
Responsible AI
Every AI step logs what it read and what it decided. We test it on your real data before go-live and keep a person in the loop wherever a wrong answer would cost money.
Team enablement
Training modules help your staff work confidently alongside AI systems, so adoption sticks and your team stays in control.
We’re a small business in the agriculture and food processing industry, growing while keeping overhead small, and that is exactly where AMATEC has become a partner since 2020. Whether connecting our three main work tools, creating file and calendar automations, or building a custom production-management application, we work with them small steps at a time, depending on our budget and needs. They are now an important part of our resources whenever problem-solving is required to improve our operations and systems.
Nicholas Baron
CEO, produitsducap.com
Questions, answered
AI task automation adds a language model to a workflow so it can handle steps that need some judgment, like reading an email, pulling fields from an invoice or scoring a lead. The rest of the workflow stays rule-based, so every AI decision has an input and an output you can check.
Mostly OpenAI models for text and Whisper for speech-to-text, with Anthropic Claude where it fits better. We pick the cheapest model that does the task reliably and switch when a better option appears.
MCP (Model Context Protocol) is an open standard that lets AI assistants such as ChatGPT and Claude connect to outside tools and data. An MCP server we build for your Zoho account or database lets the assistant look up your real records when it answers.
We send a model only the fields a task needs, use API providers whose terms exclude training on your data, and log every request. For sensitive data we can run the workflow on self-hosted n8n.
No. It takes the repetitive first pass off their plate. People still review anything where a wrong answer would cost money or upset a customer.
Book a free AI consultation
Thirty minutes with the engineer who would build it. We’ll find the two or three tasks where AI would save your team the most time.
- 30-minute call with an automation engineer
- A shortlist of your highest-impact AI use cases
- A fixed-scope quote, or an honest “you don’t need us”