Elimination of Manual Tasks and Immediate Routine Automation
Time-leak audit and custom programs: data extraction, files, email reports, alerts, and basic tool sync. The clearest entry point to see fast ROI.
ANSYO AI · COMPANIES
Automate support, sales, and operations with custom systems and realistic scope. Integrated with your web or software. First we recover hours; then you level up if it makes sense.
These are not marketing names. They are engineering depth. You start where you recover time or money. You level up only if it makes sense. Prices in MXN.
Time-leak audit and custom programs: data extraction, files, email reports, alerts, and basic tool sync. The clearest entry point to see fast ROI.
Systems that connect CRM, sales, inventory, and finance. Flows that react to business events. Less copy-paste. Fewer human errors.
A system that reads manuals, contracts, policies, and records. Your team asks in plain language. Sensitive information stays in your perimeter.
Systems that don't just repeat tasks: they follow rules and finish entire processes, advanced support, cross-area coordination, and operations tailored to your business.
Custom central systems for large scale: massive processing, proprietary models, and independence from public platforms when the case requires it. Company intellectual property.
It has to be watched, its models updated and tuned over time. Care AI comes in two parts: the maintenance, which is our work, and the infrastructure, which is where your AI runs.
Maintenance includes
Maintenance · Monthly
Care AI Essential
The AI runs stable and monitored: faults get fixed and whatever needs tuning gets tuned.
From$2,500 MXN/mo
Care AI Evolving
Everything above plus continuous improvement: model updates, retraining on your data and new capabilities.
From$4,500 MXN/mo
Infrastructure · Where your AI runs
In the cloud
It runs on cloud AI services. Compute is billed by use and is usually minimal. The default option for most systems.
Hosting managed by ANSYO
We host your model on a server with dedicated capacity. Infrastructure cost is quoted separately based on the model and the load.
Local / On-premise
Full sovereigntyYour AI runs on your own hardware, zero cloud. Your data never leaves your perimeter: maximum privacy and control. Quoted to fit the system.
How it is contracted
Care Web and Care AI are independent lines. In Care AI, maintenance and infrastructure are quoted separately depending on where you decide to run your AI.
What we build in AI
From automating tasks and connecting tools, to assistants with your private information, digital employees and large-scale models of your own.
All local model configurations guarantee 100% data sovereignty. Weights are hosted on-premises inside shielded environments with no external API hooks.
Data, infrastructure, and return: direct answers for owners and technical teams.
No: “leaving the company” means sending your data to train third-party public models and losing control. ANSYO, when the case is sensitive, works local-first / in your perimeter or on your private cloud: cleaning, training, and the resulting model stay on your side. Your data is not used to feed another company's public model.
We adapt to what you already have or to a private cloud environment. We don't sell “boxes” as a catalog product: we design the software and AI solution and, if the case requires compute on your side (for privacy or volume), we guide you on real options, server, workstation, or isolated cloud, and leave the system running. The focus is your automation and your data under control, not pushing hardware.
On level 1 and 2 automations, you often notice it in weeks: fewer dead hours and fewer errors. On deeper systems (levels 3 to 5), maturation usually runs 3 to 6 months depending on complexity and team adoption. We don't promise magic: we start from a measurable problem.
It depends on the design. When we build with models and systems that live on your side, we don't lock you into an eternal rental of third-party tokens for the essentials. You pay for the engineering and, if applicable, your own compute. If a part uses an external provider, we tell you clearly in the scope: no fine print.