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.
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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.
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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.
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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.
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 minIndustries
AI Maestro by industry
The same discovery method, specialized for your sector's processes and risk.
AI Legal Maestro
Responsible AI for law firms and legal teams
AI Fintech Maestro
Responsible AI for banking, fintech, and financial services
AI Insurance Maestro
Responsible AI for insurers and insurance companies
AI Hospitality Maestro
Responsible AI for hotels and restaurants
AI Automotive Maestro
Responsible AI for dealerships, parts, and auto shops
AI Distribution Maestro
Responsible AI for wholesalers, distributors, and logistics
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.
- 01
Archaeology
Map how the work actually happens, not the wiki or the manual.
- 02
Inquiry
Interviews and AI fluency training to pinpoint where AI helps and where a human stays in the loop.
- 03
Advisory
Score and rank each opportunity by risk and projected ROI.
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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.
What we already wrote
Why discovery comes before building
AI Maestro does not start by building, and that decision has an argument behind it. These three posts are where it came from.
Adoption is not transformation: the post-McKinsey model
Traditional consulting samples a few processes and extrapolates. The process archaeology in Stage 1 maps the whole operation, which is a difference of method, not of effort.
May 23, 2026Starbucks retires AI inventory tool after 9 months in 11,000 stores
They rolled out to 11,000 stores without measuring against the real operation and went back to manual counting. It is exactly what a Go/No-Go gate exists to prevent.
June 18, 2026SpaceX automates last. You do it first.
The SpaceX method puts automation at the end, after questioning the requirement, deleting the step and simplifying it. AI usually gets bought in the reverse order.
Frequently Asked Questions
An AI Maestro sits between the business and the AI agents. They operate across three dimensions over the adoption cycle: process archaeology (maps real workflows and tribal knowledge), agent design (defines autonomy, escalation, and confidence thresholds), and risk calibration (designs gates by risk level). At IQ Source, the AI Maestro service is Stage 1: consultancy, education, and training to discover what's worth building. Agent design belongs to Stage 2, after the Go/No-Go gate.
Not necessarily. The most effective profile combines knowledge of the business processes with understanding of AI model capabilities and limitations. Often the best candidate is already on your operations team, what they need is training in agent workflow design.
Three concrete artifacts are produced. The Process Reality Map documents your real workflows, including essential tribal knowledge. The AI Opportunity Score assesses the maturity and feasibility of each process. The Opportunity Ranking + Go/No-Go Recommendation prioritizes opportunities by risk, impact, and complexity, with an explicit recommendation on what should advance to design and what should not. The detailed design is produced in Stage 2, only if the gate is favorable, and may be an Agent Blueprint, or the design of a different kind of solution (automation, integration, dashboard, process redesign) if that's what discovery recommended.
Traditional automation is rigid, following fixed 'if-then' rules. An AI agent is different, it's built to handle ambiguity, make sound decisions with incomplete information, and improve over time based on real outcomes. Operating agents means designing autonomy boundaries, setting confidence thresholds, and measuring the quality of every automated decision.
After the first stage, your company receives all findings, documented processes, agent designs, ROI projection, and decides with real data whether to proceed to implementation. There's no commitment to continue. The decision is yours, based on concrete evidence.
A Fractional CTO provides executive technology leadership at the strategic level. The AI Maestro guides the AI adoption cycle: in Stage 1 they lead the consultancy, education, and training that discover where AI makes sense, and where it doesn't; if the Go/No-Go gate is favorable, in Stage 2 they design and coordinate the implementation of whatever the recommendation was, whether AI agents, traditional automation, integrations, dashboards, or another kind of intervention. The two services are complementary, the CTO defines the overall tech strategy, the Maestro executes it specifically for the AI track.
You can, but it's the most expensive way to learn what not to build. The analogy is building a house: you can hire a contractor and say "build me a three-bedroom house", you'll get exactly that, but maybe it's not what your family needs. Or you can start with an architect who studies how you live. The same principle applies to deploying AI agents in your operation. In our experience, companies that skip straight to implementation commit significant budgets to building the wrong thing, the workflow they automated wasn't the bottleneck, the agent didn't have access to key tribal knowledge, or the business case didn't hold up. Stage 1 exists precisely to discover what's worth building before you build it.
It depends on how clearly you can define what to build. If you need help identifying where AI can impact your operation, because you don't know exactly which agents make sense, AI Maestro is your entry point. If you already know what you want (a web app, a business dashboard, an integration with a specific model, automation of a well-defined process), our B2B Technology services quote directly what you ask for without a discovery phase. And if what you need is dedicated development capacity, a team that integrates with yours month to month, the Technology Partner model gives you reserved capacity on a monthly retainer. Quick rule: if you can't precisely define what to build, AI Maestro; if you can define it, B2B Technology; if you need a team, Technology Partner.
The AI Maestro program is anchored on Anthropic Claude. Designated participants need access to Claude (Pro, Team, or Enterprise) during the AI Fluency training and the Discovery demonstrations. Licenses are contracted directly with Anthropic and are not included in the AI Maestro investment. IQ Source sizes with you how many seats and which tier based on the participating team during kickoff.
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.
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