Harvey, Legora, SOFIA, ChatGPT Enterprise: all of them sell a license. AI Maestro sells a process discovery and training program. This section explains the difference tool by tool, so the decision gets made inside the right category.
The question "which one do we buy?" and the question "why is nobody using what we bought?" are two different questions, with two different owners and two different budgets. The tools on this list answer the first. AI Maestro answers the second, and the second decides whether the first was worth it.
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.
| Criterion | AI tool | AI Maestro (program) |
|---|---|---|
| What you buy | A software license | A diagnosis with deliverables and an end date |
| Which budget it comes from | Technology and licensing | Consulting, education and AI adoption |
| Who decides | IT or the administrative partner holding the software budget | Whoever answers for the team's productivity |
| Which question it answers | Which one do we buy? | Why is nobody using what we bought? |
| What is left at the end | Continuous access for as long as the subscription is paid | Mapped processes, a trained team and a Go/No-Go decision |
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.
What happens after the purchase
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.
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 firmsAI governance
Throughout the program we define with your team which data can travel to the models and which cannot, which tools are used and under what rules, and in which decisions a human stays in the loop. The platform recommendation is neutral: we take no commission from any vendor.
An AI tool like Harvey, Legora, SOFIA or ChatGPT Enterprise is software bought under license that accelerates specific tasks. An AI discovery program like AI Maestro is consulting with an end date: it maps how the team actually works, trains them, ranks opportunities by impact and risk, and delivers a Go/No-Go recommendation before any build investment. The tool solves a share of the work; the program determines what that share is and what happens to the rest.
A company that already bought an AI tool is a better candidate for AI Maestro, not a worse one: it has already accepted that AI matters and already put budget behind it. What remains open is adoption, and the numbers there are hard. Deloitte found in January 2026 that 84% of companies have not redesigned a single role, and McKinsey found that more than 80% of AI users see no impact on operating profit. The license is not the hard part.
No. AI Maestro sells no software and has no commercial stake in which platform you use. Discovery starts with an inventory of what you already have and works around it. In practice, a company with a tool already in place is halfway there, and walking that back is almost never the right recommendation.
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.
Deloitte cut parental leave, PTO and pensions for its Center tier only. Its Workforce Analyzer product sells that same analysis to Fortune 500 clients.
Alex Lieberman mapped 14 stages of AI adoption after 14 months with executives. Most companies skip the first ten and start by building. Then they stall.
Altman said the most credible scientists held AI back through certainty. The same thing happens in your company: the surest person is often the biggest brake.
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.
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