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AI Maestro · by IQ Source

In two months you know where AI pays off and where it does not

AI Maestro is a discovery program. You end with three documents: a map of how your company actually works, an opportunity score for every process, and a recommendation of what to tackle first. Only then do you decide whether we build anything, and sometimes the recommendation is that no agent is needed.

What you walk away with

Three documents, not a slide deck

Stage 1 runs two months and closes with these three deliverables. They are yours: if you decide not to build, you keep them anyway.

  1. How your company actually works

    Process Reality Map

    We interview the people doing the work one by one and write down the shortcuts, the exceptions and the tribal knowledge no manual captures.

  2. A score per process

    AI Opportunity Score

    Every process is measured on risk, impact and complexity, so comparing one against another does not come down to who talks loudest in the room.

  3. What to tackle first, and with what

    Opportunity Ranking and Recommendation

    The prioritized list and our recommendation in writing. Sometimes the recommendation is that a process needs an integration or a redesign, not an agent.

Teaching people to use tools is not the same as redesigning the process

A three-session workshop leaves your team comfortable with an AI chat, and that is worth something. What it does not do is touch the process: same steps, same hands, one more tool. Stage 1 goes at the process. That is why it starts by mapping how you work today and ends in an investment decision, with a Go or No-Go gate that is yours to call.

Who decides what is not worth building

Ricardo Argüello has been programming since 1990, at age 15, on a Commodore 64 and a Texas Instruments. In 36 years he has watched enough technology waves go by to tell which ones change how a company operates and which ones only change the vocabulary. The judgment behind a No-Go recommendation comes from that, not from a methodology.

When the answer is no

At Latin Health Group we said no to three of the processes they wanted to automate

Stage 1 cataloged 22 processes across five functional layers, captured in four on-site sessions, and scored each one on six dimensions: technical viability, organizational maturity, automation feasibility, impact, adoption complexity and healthcare privacy. The ranking does not hand an agent to everything: each opportunity gets the track it deserves, which may be an agent, classical automation, an integration or a process redesign.

Three processes came back No-Go. Not because an AI model could not do them, but because they depended on an internal authorization the company had not resolved yet. Building them then would have meant paying for something they could not run. Weeks later that dependency cleared through an external change, and we told them the ranking would be updated on that new basis.

That is the work. It is not handing over the longest list of things AI could do, it is saying which ones are worth doing and in what order, including the ones not worth touching yet.

See the Latin Health Group case study

Before you talk to us

Not sure your company is ready for Stage 1?

The AI readiness assessment is 21 questions across seven dimensions and about five minutes. At the end you see your score per dimension and get a PDF report with your gaps and where to start. It is free and takes no call.

Take the assessment, 5 min

A method by IQ Source

The AIAD Framework

AIAD runs during Stage 1, typically 2 months of consultancy, education, and training. It ends in a Solution Blueprint. A Go/No-Go gate then decides whether Stage 2 builds it. The recommendation may be agents, classical automation, integrations, process redesign, or a combination.

  1. 01

    Archaeology

    Map how the work actually happens, not the wiki or the manual.

  2. 02

    Inquiry

    Interviews and AI fluency training to pinpoint where AI helps and where a human stays in the loop.

  3. 03

    Advisory

    Score and rank each opportunity by risk and projected ROI.

  4. 04

    Design

    Deliver a Solution Blueprint: the prioritized recommendation.

Decision gate · Go / No-Go

Go

Build it. Stage 2 is separate and conditional.

No-Go

Keep the human in the loop.

You decide. No pressure to build.

When the decision is Go, this is what Stage 2 builds: IQ Second Brain

What your company keeps

  • Process Reality Map
  • AI Opportunity Score
  • Opportunity Ranking + Recommendation

Diagnose where AI belongs, before you spend on it.

Frequently Asked Questions

Already bought an AI tool?

Buying the license and getting the team to change how it works are two different projects, and the second is the one almost nobody runs. Deloitte measured in January 2026 that 84% of companies have not redesigned a single role around AI. There is a section explaining, tool by tool, what each one covers and where AI Maestro fits in.

See AI Maestro and AI tools

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