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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.

The canonical method

Three phases, one framework

The three phases run during Stage 1, typically 2 months of consultancy, education, and training, may extend based on your organization's complexity. Design does not happen here: it belongs to Stage 2, after the Go/No-Go gate, and the kind of design depends on what discovery recommended (agents, classical automation, integrations, process redesign, or a combination).

  1. 01

    Process Archaeology

    Mapping real work, not the wiki or the manual.

  2. 02

    Inquiry & AI Fluency

    Individual interviews and AI fluency training anchored in your real workflows.

  3. 03

    Advisory

    Opportunity assessment and ranking by risk and return.

What your company keeps

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

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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