Generic AI is not enough for your company

Would you hire someone and put them to work without first teaching them how the company operates?

The problem: ChatGPT, Gemini, Claude, and Grok don't know your context, rules, relationships, or processes.

Recent studies from RAND, MIT, Gartner, BCG, and McKinsey all point in the same direction: AI projects fail when implemented disconnected from the company's data, processes, workflows, and criteria.

You need your own AI agent, trained and integrated into your company

Generic AI and off-the-shelf agents designed for other markets won't work for you; you need your own.

iAutomator digitizes your business logic so that AI can assimilate it.

With your information

Internal: reports, proposals, CRM, presentations. External: legal, industry-specific, economic, commercial, regulatory

With your methodology

With your criteria and process guidelines. With precedents. Respecting local laws and your company's regulations.

Connecting the dots

With a map of the relationships between clients, companies, suppliers, and regulators. Identifying patterns, synergies, and common denominators.

Generic RAG will give you plausible answers, but not necessarily correct ones

A RAG system must be designed based on the characteristics of the document base; if the right data isn't retrieved, the AI hallucinates

Document bases are not all the same

▪ 20 documents ≠ 2000 documents; more volume makes it easier to lose important information
▪ Legal contract ≠ financial report
▪ Different hierarchies, structures, and languages

AI cannot read all text

▪ PDFs were designed for printing, not for AI
▪ Multi-column layouts break logical order
▪ AI does not recognize tables and charts
▪ For AI, a scan is just a photo

In 2024, Anthropic documented reductions in retrieval errors of between 49% and 67% by applying the following techniques:

  1. Intelligent extraction + optical character recognition (OCR)
  2. Structured reading by logical blocks
  3. Combined retrieval: Semantic + lexical + relational
  4. AI-powered data filtering and reordering to maximize relevance

The agent not only adapts, but also integrates.

The agent sees the full picture, knows where to look first, and which source has the most reliable answer for each question. This way, it avoids noise, gains speed, and reduces hallucinations.

In your workflows

The agent integrates into your workflow, productivity suite, business management tools, and usual data sources.

Without compromising your control

The agent consults specific information, when needed, from files that remain under your control.

Allowing you to choose the AI

Among providers like OpenAI, Google, Anthropic, or xAI; we are not tied to any of them.

With connectivity

It connects to data sources and tools that offer native connections, APIs, or MCP

With flexible deployments

You don't have to implement everything at once; we deploy in phases based on your priorities and budget.