A diagnosis of where operations stall, the direction and management cadence that focus the team, and the elimination of the waste that holds growth back. AI comes in as a lever — automating repetitive tasks and clarifying decisions — where it drives results, not as a trend.
If any of these sounds like your company, the conversation starts here.
"Everyone's busy, but the important things don't move forward."
"We grew too fast and lost control of operations."
"We tried goals and rituals before and it didn't work — but we want to do it for real."
"Everyone talks about AI, but no one knows where it actually drives results here."
How we engage changes with the problem, the team's maturity and the urgency. The starting point is always the diagnosis — and from it we define the model that delivers results without creating dependency.
Savvity builds the capability, operates alongside until it stabilizes, and transfers it to your team. The company keeps the function running — not the dependency on a consultant.
Before any project, a short deep-dive to find the real problem, the likely cause and the best point of intervention. Sometimes the conclusion is "not the right time" — and that's a deliverable too.
A short, intense intervention — 4 to 6 weeks — to solve a specific bottleneck, with a plan and execution started within the sprint.
Recurring support, like a senior fractional executive at your side in decisions — without the cost or commitment of hiring a full-time C-level.
Four fronts that combine according to your problem. The entry point is almost always a diagnosis.
From a management-maturity diagnosis to defining clear goals and priorities, with the rituals and cadence that keep the team focused on what matters. The method adapts to the team — goals, metrics or OKRs, when they make sense — and by the end of the first cycle, the team runs it on its own.
Savvity maps where the team's time actually goes, identifies bottlenecks and rework, and prioritizes improvements by impact versus effort. The result is an executable plan and an operation that stops wasting energy.
AI where it drives measurable results, not where it just grabs attention: automation of repetitive tasks, dashboards that support decisions, and an honest diagnosis of where — and whether — AI pays off in the operation. Always with safe, responsible use.
Recurring, close and selective support for the founder or CEO who has a team but stands alone in the hardest decisions. A senior perspective from someone who has scaled operations — focused on the business, not personal coaching.
Profiles of growing companies Savvity usually talks to — and the kind of intervention that makes sense in each case.
Each team pulls in a different direction and the quarter's priority isn't clear.
→ Diagnosis + DirectionSkilled people busy with repetitive work an automation would solve.
→ Efficiency + Applied AINothing moves without them; real delegation became the biggest blocker to growth.
→ Fractional advisory + delegationThe numbers exist, but reach decision-makers late and fragmented.
→ Dashboards & BIPutting AI into operations without judgment creates real risk: data leaks, wrong answers that look right, and dependency on a black box. Savvity applies guardrails and secure development from day one.
Every solution is born with clear limits and output checks. Where mistakes are costly, there's a human in the loop — the model doesn't decide critical things on its own.
Least-privilege access, sensitive data protected, and no company information exposed in public tools without control.
Each solution is evaluated against real cases before going to production. If there's no way to measure that it works, it doesn't ship.
It's clear what the AI does, why, and how to take control. The goal remains autonomy — not dependency on Savvity or a vendor.
Management systems implemented and operations redesigned in the real world, under time and result pressure. Failures and wins lived in practice, not studied in a book.
Savvity doesn't do a bit of everything. Two focuses — clarity of direction and the ability to execute. AI only comes in when it serves them, never as a tech showcase.
Success is your team no longer needing Savvity for this kind of problem. That builds trust — and clients who come back.
No consultant-speak. What's wrong is said — with respect and context, but with clarity.
Over 12 years translating complex, cross-functional problems into structured execution — first in large-scale corporate environments, then in high-velocity fintechs.
At Nokia, Breno led commercial operations and national-scope digital transformation projects across Latin America and Europe, coordinating engineering, legal and finance teams. Later, as COO in fintechs and payment gateways, he redesigned operations, aligned product and operations, and installed management cadences in fast-growing teams.
It's this rare combination — the structure of a multinational plus the speed of a startup — that Savvity brings to every client.
"Savvity doesn't put an operator in to do it for you. It delivers the structure for your team to do it — and keep doing it on their own."
A clear cycle, with no mystery about timeline or scope.
A conversation to understand the context and the urgency.
The real problem, the likely cause and the best point of intervention.
Deliverables, format and success criteria — clear for both sides.
Priced by value delivered, never by the hour. No surprises.
Sprints with real progress. The team executes; Savvity structures and keeps accountability.
Pricing is by value delivered and by type of engagement — never by the hour. The diagnosis works as an entry point, low-cost (and sometimes free for qualified clients). From it, you know exactly what's worth investing in and with what expectation.
It depends on the problem. A full quarterly management cycle — goals, rituals and tracking — runs in 90 days. An operational-efficiency project is usually a 4–6 week sprint for diagnosis, plan and start of execution. AI initiatives are scoped individually.
Yes. Savvity structures, facilitates and transfers capability — it doesn't execute in your team's place. The company appoints a process owner, the team runs the rituals, and Savvity provides structure and accountability. That's how results continue after it ends.
AI applied to operations: automation of repetitive processes, dashboards and BI for decisions, and an honest diagnosis of where AI drives real value — including saying when it doesn't pay off. It's not hype or chatbot-for-chatbot's-sake; it's the lever that accelerates what the method has already structured.
Taken seriously. Every AI solution is built with guardrails, least-privilege data access, output validation and testing against real cases before production. Company data isn't exposed in public tools without control, and there's no black-box dependency — it's clear what the solution does and how to take control.
The best fit is companies of 10 to 200 people, growing (post product-market fit), with a founder or manager with decision power and real openness to change. For those who just want a report for the board, Savvity isn't the right choice.
Tell us what's blocking growth. In one conversation, it becomes clear whether — and how — Savvity can help.
