Abordagem — diagnóstico, build, gerenciado
Abordagem

Diagnóstico → build → gerenciado. Você aprova cada etapa.

Um modelo de entrega projetado para que a IA cuide do volume e um humano valide o resultado. Preço fixo, sem caixas pretas, uma etapa de controle de qualidade humana antes de qualquer coisa chegar até você.

O modelo de engajamento
01

Paid diagnostic

A short, paid engagement on your real data. We show where you lose, under-price or over-invest senior time — with a live demo run on one of your real opportunities. The diagnostic credit applies against the build.

02

Fixed-price build

We stand up the workflow as a system, tuned to your templates, stack and commercial logic. Fixed scope, fixed price — no surprise invoices.

03

Monthly managed plan

We run it on live work, keep it current as your business changes, and review the outcomes that matter — win rate, margin, time-to-value — with you each month. Optional, and cancellable.

O design de entrega

AI does the volume

The system handles the heavy lifting — structuring discovery, drafting scope and estimates, surfacing risk — so a person spends their time on judgement, not typing.

A human owns the result

A named Pro scopes the work, QAs every output and signs off before anything reaches you. The name on the work is a person, not a model.

You approve everything

No black box. You see and approve the scope, the estimate and the draft at every gate. Nothing goes out without your sign-off.

Por que se potencializa

Cada engajamento torna o próximo mais barato e mais afiado.

Cada projeto deposita escopos reutilizáveis, modelos de estimativa, lógica de precificação e regras de risco. Em vez de começar de uma página em branco, o sistema padroniza — responsabilidade semelhante a um serviço com margens semelhantes a software. Esse julgamento acumulado e estruturado é a sua barreira defensiva.

FAQ

Sobre a abordagem

Why a paid diagnostic instead of a free pilot?+

A paid diagnostic earns real data and real attention from both sides. It runs on one of your actual opportunities, so you see the artifact — not a generic demo — before committing to a build. The fee credits against the build if you proceed.

What does "fixed price" really mean?+

Fixed scope, fixed price. We agree the workflow and the deliverable up front, and that is the price. No hourly meter, no surprise invoices. If scope changes materially, we agree a new fixed price before any work — you are never billed for a moving target.

How do you keep AI output trustworthy?+

Two ways. First, evaluation: we build graded eval sets from real past cases and gate every release against them. Second, a human QA step: a Pro reviews and signs off before anything reaches you. Accuracy is measured, not assumed.

What is the standardisation / data-moat story?+

Every engagement deposits reusable assets — structured scopes, estimate models, pricing logic and risk rules. The system gets cheaper and sharper each time instead of starting from a blank page. That compounding standardisation is the moat: service-like accountability, software-like margins.

Do we have to take the managed plan?+

No. The managed plan is optional and cancellable. Many clients run the built system themselves; the plan exists for those who want us to keep it current and review outcomes with them each month.

Veja a abordagem em um dos seus próprios acordos.

Uma chamada de 30 minutos, sem discursos de venda. Vamos analisar como isso funcionaria em uma de suas oportunidades reais — depois você decide se vale a pena um diagnóstico pago.