Daniel Victorino


If AI became cheap, why does decision-making still take so long?
Marketing has never had so much data available. And it has never been so slow to turn that data into a decision.
Today’s CMO has dashboards, AI tools, automated reports and analytics platforms. Access to processing is no longer the problem. Intelligence has become a commodity.
And yet, when a real question appears, the cycle is the same as always. Open tabs, request analysis, wait for rework, organize the output and, two days later, arrive at an answer that is minimally defensible for the committee. Sometimes more.
The problem was never a lack of data. It was what happens between data and decision.
Where does the time disappear before the answer arrives?
Before any answer appears, someone has to do work that does not show up in any dashboard: decide exactly what to ask, choose which methodology makes sense for that specific question and structure the research path so the result can support a budget decision.
This translation stage is where time disappears. It happens before any value is extracted from the tool. It is not processing; it is technical research knowledge that most marketing teams do not have, and should not need to have, in order to reach an answer.
General-purpose AI tools do not eliminate this stage. They still require the user to know how to structure the right question and interpret the output technically. For people who master research methodology, that works. For the rest of the team, it is one more layer before the answer, not one less.
Galaxies has already demonstrated the size of this gap in practice: in the Bradesco Seguros case, testing and simulating a new product took 48 hours, with a 93% reduction in cost per respondent, from R$ 17.00 to R$ 1.20 per interview, in a process up to 10.5 times faster than the traditional validation cycle. Agente Nexus makes that same engine accessible without the methodological translation stage that previously required technical research knowledge.
What changes when methodological translation is no longer a prerequisite?
When this intermediate stage no longer depends on prior technical knowledge, the time between a business question and a structured answer falls directly.
Not because the data became faster to process. Because the barrier that blocked access to the answer disappeared.
In practice, what used to take days of technical coordination starts to be measured in hours. And the CMO can use data for what data is meant to do: support a decision before the window closes.
What is Agente Nexus?
Agente Nexus is Galaxies’ marketing decision tool that turns a business question, described in natural language, into a structured and defensible answer without requiring technical research knowledge from the person asking. It automatically organizes the methodological path and delivers first results in hours, not weeks.
In practice, how does Agente Nexus change the path to the answer?
You describe your business question the way you would think out loud. Without translating it into research language. Without choosing a methodology. Without knowing in advance which path leads to the most defensible answer.
The agent interprets the objective behind the question, organizes the path and keeps decision control with the person asking. What disappears is the translation stage. What remains is the answer.
How does Agente Nexus compare with the traditional approach?
Starting point: in the traditional approach, a technical research brief; with Agente Nexus, a business question in natural language.
Who structures the methodological path: in the traditional approach, a research specialist; with Agente Nexus, the agent does it automatically.
Time to first results: in the traditional cycle, conventional qualitative research; with Agente Nexus, a documented 48-hour reference from the Bradesco Seguros case, up to 10.5 times faster.
Technical knowledge required: high in the traditional approach; none to get started with Agente Nexus.
Who makes the final decision: the CMO in both cases, but with less friction on the path to the answer.
Time and cost reference: Bradesco Seguros case, Galaxies.
What does this change in the CMO’s routine?
The most critical moment in a CMO’s routine is the interval between identifying an opportunity and being able to defend a decision about it before the window closes.
Testing a concept before committing campaign budget. Understanding an audience reaction before approving a creative asset. Validating a hypothesis before a committee meeting.
In all these cases, what determines whether the decision happens is the distance between the question and the defensible answer. Not more data. Less friction on the way to it.
Intelligence became cheap. Agente Nexus exists so decision-making can become fast too.
Explore Galaxies’ capabilities on the solutions page or speak directly with the team.
Frequently asked questions
What is Agente Nexus?
It is Galaxies’ marketing decision tool that turns a business question, described in natural language, into a structured and defensible answer without requiring technical research knowledge. The agent automatically organizes the methodological path.
Doesn’t general-purpose AI solve the decision-speed problem?
Not by itself. General-purpose AI tools accelerate data processing, but they still require the user to know how to structure the right question and interpret the output technically. Agente Nexus eliminates the methodological translation stage, not just processing time.
Does this mean data is no longer important?
No. Data remains the foundation of any defensible decision. What changes is the distance between having that data available and turning it into a structured answer without relying on prior technical knowledge.
How long does it take to get a first answer with Agente Nexus?
Galaxies documents, in the Bradesco Seguros case, a 48-hour cycle to test and simulate a new product, up to 10.5 times faster than the traditional qualitative validation process.
Who benefits most from Agente Nexus?
Marketing teams that need to validate hypotheses repeatedly, including concept, packaging, messaging and creative, before committing budget, and that currently lose days in the translation stage between the business question and the research path.
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