First, the premise
This is AI Maestro's real competitor for a company's attention, and even so it is not a competitor. "We already gave everyone ChatGPT" is not an objection to a discovery program: it is exactly the situation the program exists to fix. Access is already solved at most companies. What is not solved is that anyone changed how the work gets done.
ChatGPT Enterprise and Microsoft Copilot are general-purpose AI assistants, sold by license and typically deployed to the entire knowledge-worker population. They are good products and the cheapest entry point into enterprise AI. Their virtue is that they work for almost anything, and that is also their limit: they arrive with no opinion about your operation.
Who it works best for
Giving broad, fast access to generative AI for individual tasks: drafting, summarizing, translating, organizing ideas. Done well, those tasks save time person by person.
This is not a list of flaws. It is the category boundary: no software platform is designed to do what follows.
What happens after the purchase
Buying the tool is an afternoon decision. Getting the team to change how it works is a months-long project, and it is the one almost nobody runs. The numbers below are third-party, not ours.
84%
of companies have not redesigned a single role around AI
Deloitte, January 2026. Survey of 3,235 C-suite leaders across 24 countries.
78%
use AI, and more than 80% see no measurable impact on operating profit
McKinsey, April 2026.
37%
use it superficially. Only 34% are in deep transformation
Deloitte, January 2026.
The electric factory analogy
In the 1890s factories swapped steam engines for electric motors and left the floor plan untouched, still built around the old central transmission shaft. Productivity barely moved for thirty years, until someone redesigned the factory around the flow of the work instead of the shaft. Most firms with an AI license today have swapped the motor and left the layout alone.
AI Maestro is a two-month discovery program, not a product. We map how your team actually works, train people in AI fluency, rank the opportunities by impact and risk, and close with a Go/No-Go gate that decides whether building anything is worth the investment. Sometimes the conclusion is that a task does not need AI at all, and that answer is a deliverable too.
Generic access is the floor, not the ceiling. AI Maestro takes that base and turns it into redesigned processes and evidence-backed priorities. Worth stating that IQ Source's program is anchored on Anthropic Claude, though that obliges nobody to cancel the licenses they already have.
01
Discovery documents who uses what and for what, and usually surfaces working use cases nobody else in the company knows about. That is free material: internal cases, with internal people, ready to be standardized.
02
Measurable gains appear when the flow of the work changes, not when each person writes emails faster. It is the difference between swapping the motor and redesigning the factory.
03
At the close of discovery, your company decides with mapped processes and ranked opportunities whether to invest in building something or keep the artifacts. If the answer is that nothing needs building, that is a good answer too.
If the context is legal, the version of the program applied to the work of lawyers and paralegals, with the confidentiality and privilege boundary drawn from Stage 1, lives on its own page.
See AI Maestro for law firmsTo make that rollout produce something measurable. Handing out licenses solves access, not usage. McKinsey measured in April 2026 that 78% of companies already use AI and more than 80% see no impact on operating profit; Deloitte found 84% have not redesigned a single role. AI Maestro works in that gap: it maps processes, trains by role, and ranks where the change actually pays.
No. ChatGPT Enterprise and Copilot are general-purpose software licenses. AI Maestro is a two-month discovery and training program that ends in artifacts: a Process Reality Map, an AI Opportunity Score and a Go/No-Go recommendation. Neither of those tools delivers that, and AI Maestro delivers no assistant.
Because buying access is an afternoon decision and changing how a team works is a months-long project with an owner, a budget and follow-through. When the rollout comes with nothing but a general webinar, every person is left to discover their own use case, and most do not. The pattern is measured: Deloitte found 60% of workers have AI access while 84% of companies have not redesigned any role around it.
Deloitte surveyed 3,235 C-suite leaders: 60% have AI access, but only 34% transform real processes. The bottleneck isn't technology anymore.
Raphaël Dabadie named the new model: software plus service. Traditional consulting runs sampling. AI transformation needs agents that map everything.
NomadGo promised 99% accuracy and 8x faster counts. Starbucks rolled it out to 11,000 stores without ever testing the number on the actual floor.
Boris at Anthropic watched it happen: one data scientist opened Claude Code, and within a week the entire floor had it. 98% of companies have shadow AI.
Cisco's CFO confirms every employee gets a cost-routed AI agent by fiscal year start. On-prem infrastructure, smart routing, and an unresolved trust question.
Anthropic analyzed 9,830 AI conversations. Iteration doubles output quality, but teams accept first responses uncritically. How to fix this at your company.
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