Your operations with AI

AI doesn't know how your company works

It's not enough for AI to have your information; it needs to know what to do with it.

AI needs your logic, criteria, and method to truly add value

  • What information do you prioritize?

  • How do you assess risks?

  • What procedures do you follow?

  • What precedents do you apply?

The challenge isn't teaching AI your data; it's teaching it how you think

At iAutomator, we embed your logic, criteria, and methodology into your AI agent's operating system, so it responds as a digital extension of your team.

We digitize your context and operational logic for AI

We develop two parallel disciplines to ensure your AI agent acts as another team member.

1. Context Engineering:

Manage the AI's field of vision so it only considers relevant, up-to-date, and reliable information.

Optimize infrastructure and data flows to optimize the conditions under which AI operates:

  • With the right information
  • At the right time
  • With less noise and more signal

2. Playbooks:

Your process guides, translated into AI language

  • They standardize execution
  • They enforce criteria
  • They determine which sources or tools are used
  • They reduce errors and omissions

Playbooks reduce improvisation, enabling AI to execute consistently, repeatably, and audibly.

AI Advisory Board:

For strategic matters, we can equip your agent with a multi-model advisory board comprising ChatGPT, Claude, Gemini, and Grok.

Each AI model analyzes the issue separately, cross-references arguments from the others, and contributes to a final synthesis. You gain diverse perspectives, critical review, and reduced reliance on a single AI provider.