Applied AI and automation with LLMs, RAG and agents — in production, not in a PowerPoint
We build assistants and agents on large language models, RAG search over your documents, and process automation with n8n + LLM. The proof is on this very site: it runs on ARIA, our internal AI platform, and on the assessments you are about to use. Code and models are your property, from Monterrey + Texas.
If your company faces these problems with AI, we can help
Lots of PowerPoint, zero production
Consultancies that sell "AI transformation" in slides and pilots that never reach production. What you need is an assistant or an automation running on your data, not another presentation.
Vendor lock-in with a single model
Solutions tied to one provider where switching models means rewriting everything. If OpenAI raises prices or Anthropic ships something better, you are stuck and you pay the bill.
Your team losing hours on repetitive tasks
People drafting the same emails, classifying tickets, copying data between systems and hunting for information across hundreds of documents. Work that a well-designed LLM agent can assist with today.
Knowledge trapped in documents
Manuals, contracts, policies and wikis where nobody can find anything. Keyword search does not understand the question. RAG over your own documents does.
"AI" that hallucinates and cannot be audited
Made-up answers, no source citation, no human oversight and no way to measure accuracy. Enterprise AI needs validation, traceability and a human in the loop.
You do not know where to start
Too many tools, too much noise and no clear impact metric. You need an honest assessment that ranks opportunities by real value and difficulty.
Applied, honest AI: assistants and agents on LLMs, knowledge retrieval with RAG, process automation and intelligent diagnostics. No hype, no computer vision, no promises we cannot keep.
The real proof: this very site runs on our AI
We do not show you made-up client cases. We show you AI you can verify yourself, right now, on this site.
ARIA — our internal AI platform
ARIA is the AI platform we run internally: it supports QA and regression on factory projects and orchestrates the agents that keep this site alive. It is not a trade-show demo — it is the tool we work with every day.
The AI assessments on this site
The assessments you see on each service (factory, SAP, AI, Salesforce…) are real applied AI: they capture your context, evaluate it with a language model and return a prioritized diagnosis in minutes. The one you are one click away from is the example.
Content, SEO and notifications with n8n + LLM
The blog, the es/en translations, draft generation and internal lead notifications are automated with n8n + LLM flows with human review. The automation we propose is the one we already run at home.
How we implement AI in 4 phases
From an honest assessment to AI running in production, with a human in the loop at every step. No endless research projects.
Assessment & prioritization
We map your processes and available data and identify AI opportunities, ranked by business impact and real implementation difficulty. Honest about what is worth doing and what is not.
Pilot in production
One end-to-end use case running on your real data: an assistant, a RAG flow or an automation. With baseline metrics to objectively compare before and after.
Scaling & integration
We connect the AI to your systems (SAP, Salesforce, Odoo, email, WhatsApp, ERP/CRM), with monitoring, alerts, human validation and traceability of every answer.
Operation & continuous improvement
Prompt and model tuning with your data, per-provider cost control, new use cases and a dashboard showing the real return of each automation.
What you receive in an AI project
Code and prompts you own
The whole solution —code, prompts, configuration and flows— is yours from the first commit. No vendor lock-in and no dependence on us to operate it.
No model lock-in
Provider-agnostic architecture: Claude, GPT, Gemini, Llama or local models with Ollama. Switching providers does not mean rewriting the solution.
Human oversight & validation
Validation layers, escalation flows and human approval before acting. No autonomous AI without control.
Traceability & source citation
RAG answers cite the source document. Logs of every interaction to audit accuracy and fix whatever fails.
Documented integrations
Design of the connections to SAP, Salesforce, Odoo, email and your ERP/CRM, with data contracts and flow diagrams.
Pay-per-use cost control
No additional licenses: open source tools and pay-per-use APIs, with spend monitoring per provider and model.
Training & operation
Recorded sessions and manuals so your team operates the assistants and flows without deep technical knowledge.
Frequently asked questions
What kind of AI do you implement exactly?
Applied, verifiable AI: assistants and agents on language models (LLMs), RAG search over your documents, process automation with n8n + LLM and intelligent diagnostics/scoring. We do not do computer vision. We prefer to do a few things and have them run in production, rather than promise capabilities we cannot keep.
Do you have anything running or just demos?
Running. The proof is on this very site: it is operated by ARIA agents, our internal AI platform, and the assessments you see on each service are real applied AI. We also automate our own content, es/en translations and lead notifications with n8n + LLM. The AI we propose is the one we already use at home.
Will I be locked into a single AI provider?
No. We build with a provider-agnostic architecture: Claude, GPT, Gemini, Llama or local models with Ollama. If tomorrow you want to switch models or a provider raises prices, you switch without rewriting the solution. All code, prompts and configuration are your property.
Do I need lots of data or a team of data scientists?
For assistants, RAG and LLM-based automation you do not need historical data: pre-trained models work from day 1 and RAG works over the documents you already have. We configure, integrate and operate the models; your team uses simple interfaces. We help you honestly assess what you have and what you need.
What happens if the AI gets it wrong or hallucinates?
Every implementation carries validation and human oversight: escalation flows, human approval before acting and RAG that cites the source so it does not make things up. We monitor accuracy with logs and adjust when the error exceeds defined thresholds. We do not ship autonomous AI without control.
Can you integrate AI with SAP, Salesforce or Odoo?
Yes, and it is one of our strengths: we have dedicated SAP, Salesforce and Odoo teams working alongside the AI team. For example, an assistant that queries inventory or orders in real time, lead scoring connected to your CRM, or flows that feed your ERP. We use native APIs, SAP CPI or n8n depending on your stack.
Does AI replace my team?
No. We automate repetitive tasks so your team can focus on high-value work. The assistant resolves the frequent and escalates the complex to a human; the draft generator produces a draft that a person reviews and approves. The team does not shrink — it becomes more productive.
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