One orchestration runs the whole business.
The orchestration does not answer requests one at a time. It builds the business, from the offer to the measurement, then keeps operating it.
- 1The functions, laid one by one
Blaast builds and operates complete new businesses beside your core: one orchestration of autonomous agents, coordinated by an AI CEO, outside your systems, under your committee’s mandate.
By video, under NDA if you wish.
Figure 1. A whole business, operated by one orchestration, under your committee’s mandate.
Illustrative example
Adoption is no longer the question. McKinsey found about 90 in 100 vertical use cases still stuck in pilot mode, and named the obstacles: poor integration with enterprise systems, fragmented data, siloed teams, organisational inertia [1].
In McKinsey’s 2026 survey, 37 in 100 respondents attribute at least some effect on EBIT to the technology, about the same share as a year earlier [2]. In France, 24 in 100 proofs of concept run with start-ups reach deployment, against 31 in the United States [3].
The usual answer is to integrate harder. The other answer is to start where there is nothing to integrate.
“Nearly eight in ten companies report using gen AI – yet just as many report no significant bottom-line impact.”
Figure 2. Use is widespread. Conversion into results is rare.
| Share, % | Share, % | Source |
|---|---|---|
| Vertical use cases that “remain stuck in pilot mode” | about 90 | McKinsey, 13 June 2025 [1] |
| Respondents who “attribute at least some EBIT impact to AI use” | 37 | McKinsey, 25 August 2026, 1,719 respondents [2] |
| Proofs of concept with start-ups converted into deployment, France | 24 | Bpifrance Le Hub, 16 September 2026, 437 respondents [3] |
| Same measure, United States | 31 | Bpifrance Le Hub [3] |
Inside the core, the path is long. BCG X found that companies spend “up to three years considering whether to add a new business”, then typically “another three years to commercially launch” it [4].
A business designed around the orchestration from its first day has nothing to integrate, no legacy data to migrate and no organisation to redesign. It needs no connection to your information systems, and the contract says so.
Separate does not mean detached. O’Reilly and Tushman described the companies that manage both: distinct units, “tightly integrated at the senior executive level” [5]. Here, that senior level is your committee.
“Now, AI is shifting the build playing field: lowering experimentation costs, quickening build cycles, and letting AI-native businesses be designed from the outset.”
Figure 3. Beside the core, there is nothing to integrate, migrate or reorganise.
Illustrative example
| Two ways to put autonomous agents to work | Inside the core | Beside the core |
|---|---|---|
| Systems | Integration with existing enterprise systems | None: no connection to your information systems, written into the contract |
| Data | Legacy data, fragmented across functions | Data created by the venture, and yours |
| Teams | Siloed teams to coordinate | One orchestration, coordinated by an AI CEO |
| Decision | Project reporting, milestone by milestone | Evidence from the market, decided every month by your committee |
| Path | “Up to three years” to decide, “another three years” to launch | A real business in its market, with a date for the decision |
Figure 4. Work flows from one task board, and the plan changes when results come in.
The orchestration does not answer requests one at a time. It builds the business, from the offer to the measurement, then keeps operating it.
Work flows from a shared task board and is dispatched automatically. The AI CEO re-plans when results come in.
Strategy, finance, product, front-end and back-end engineering, infrastructure and deployment, security, marketing, search, content, translation, sales, analytics, and quality assurance on prospect and customer journeys.
Memory persists from one work cycle to the next: the venture’s business context, its task board and the full history of changes.
A task tied to a business objective cannot be closed without a measured result attached. Otherwise it stays open, and only a person can cancel it.
Illustrative example
When building a business costs less, the sound response is not to spend less. It is to open more options, and to commit only to those the market confirms.
Each Blaast venture is written as an option, in four terms of the contract (Figure 5).
“[…] lower cost per experiment is not an argument for cutting venture budgets. Instead, it is an argument for running more experiments.”
Figure 5. The premium is capped, the date is set, and each month the decision is your committee’s.
At each Monthly review, your committee takes one of four decisions. Nothing is glued, so each one remains possible.
Same mandate, next month. One more level is set, outlined.
The offer, price or target changes. Here the second level is set differently, outlined.
A stop report. The building stays standing, closed, the crane gone: what was built stays yours.
More budget, or handover to your teams: a second crane goes up and two more levels are set, outlined.
The AI CEO is the first management role of this new kind of company. Its written mandate is to plan and prioritise; it excludes writing code, deploying, sending email and touching payments. In its reports, cost and activity figures are computed from the operating database, not written by the model.
A person can steer or pause a venture at any time. And every month, at the Monthly review written into the contract, your committee decides what happens next (Figure 6).
Figure 6. The decision is your committee’s. The contract and the code set the limits.
Who holds what, for each venture
Your committee decides
The contract commits
The code enforces
The AI CEO coordinates, within its written mandate
Contract terms are engagement commitments. Code mechanisms are capabilities of the technology.
Figure 7. Each venture is judged on the strongest evidence of demand it can produce.
Two examples for each leadership team. Each shows a structure: the market movement, the business you open, what your committee will know and when. None shows a result.
Figure 8. At exit, the AI CEO comes off. Everything else stays in your name.
Illustrative example
By video, with the founding team.
We show you how a venture is framed, built and operated, with an illustrative mandate and Monthly review.
We look together at where a first venture could sit beside your core. Under NDA if you wish.
For the briefing
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Or by email: hello@blaast.app