The constraint is not capacity.
Approval and review concentrate decisions in too few people. Hiring now expands the queue, not delivery.
- Evidence
- 3 services · 2 approvers
- Risk
- High
- Priority
- Now
Origammi · Engineering Diagnostic
Within up to 10 business days, we analyze delivery, architecture, and productivity constraints. You leave with prioritized decisions and a clear 90-day plan.
Fixed scope · delivered within up to 10 business days · investment: R$10,000.
Quando faz sentido
For CTOs, founders, and engineering leaders who need to separate daily pressure from what should actually change.
O produto
Engineering Diagnostic is neither a checklist audit nor development sales in disguise. It is a focused investigation into the few constraints that matter most now.
It may confirm that hiring is right. Or show that the priority is simplifying architecture, resolving an overdue decision, or redesigning delivery flow.
Como funciona
Entendemos o contexto de negócio, o que precisa destravar e onde vale aprofundar.
Olhamos arquitetura, fluxo de entrega, decisões e pontos de atrito com as pessoas certas.
Separamos sintomas de causas: arquitetura, processo, contexto, capacidade e qualidade.
Priorizar é escolher. Traduzimos achados em decisões e uma sequência de ação viável.
Apresentamos o assessment e o roadmap para que a liderança possa agir com clareza.
Veja o que você recebe
A simulated excerpt of the artifacts: the level of clarity, decisions, and prioritization your team receives at the end of the diagnostic.
Approval and review concentrate decisions in too few people. Hiring now expands the queue, not delivery.
Context — critical changes depend on three coupled services.
Alternatives — rewrite, keep coupled, or extract in stages.
Decision — extract a gradual boundary before rewriting.
Consequence — reduces risk without pausing the roadmap.
Simulated example. The actual artifacts reflect your company's context, risks, and decisions.
Quem conduz o diagnóstico
More than 15 years building and leading engineering in environments where technical decisions have real business impact.
Led platform teams building and evolving complex systems at a scale of more than 100 million users.
Structured technology integration operations at funds with more than R$40 million under management and helped build more than five companies from the ground up.
That experience is what I bring to the diagnostic: separating symptoms from causes, identifying the few problems that matter, and turning complex decisions into a plan the team can execute.
IA e agentes
We assess where AI creates leverage — and where it only adds volume, cost, and risk. When agents make sense, we define responsibilities, context, guardrails, human oversight, and metrics.
Para quem é
Usually teams of 10 to 300 engineers facing real roadmap, scale, quality, or efficiency pressure.
Para quem não é
The diagnostic requires context and willingness to face trade-offs. If the decision is already made and execution is all that remains, a different format may fit better.
Próximo passo
In 30 minutes, we understand your main constraint and determine whether Engineering Diagnostic is the right way to address it.
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