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AI Maestro · by IQ Source

We Discover Where AI Makes Sense, Before Designing or Building Anything

AI Maestro is consultancy, education, and training. Two months to map your real processes, train your team in AI fluency, and prioritize opportunities with evidence. Design comes later, and only if the Go/No-Go gate justifies it, whether with agents or with whatever the discovery actually recommended

What is an AI Maestro?

Jason Calacanis described it as 'the job nobody sees coming': someone who knows a business deeply enough to guide AI agent adoption without writing a line of code. At IQ Source, we've been doing exactly that role.

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.

What your company keeps

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

Diagnose where AI belongs, before you spend on it.

Key Benefits

Process Archaeology

We conduct individual interviews with the people doing the work. We document the shortcuts, exceptions, and tribal knowledge no manual captures, before even considering automating anything

AI Fluency for Your Team

Training sessions anchored in your real workflows, not generic examples. Your people learn what today's AI models can and cannot do, and why that changes how processes should be designed in the first place

Opportunity Advisory with Risk Ranking

We evaluate every opportunity by risk level, impact, and complexity. You get a prioritized ranking and a per-opportunity Go/No-Go recommendation, so your company decides where to invest the AI budget with evidence, not promises

Go/No-Go Gate with No Commitment

At the end of Stage 1 your company decides whether to move to design and implementation, or close the program with the artifacts you already paid for. The decision is made with data: mapped processes, prioritized opportunities, and ROI projection

Frequently Asked Questions

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