Decide quickly or decide correctly? How to do both with AI

For a long time, companies believed they had to choose between speed and quality in decision-making. Either they decided quickly, assuming high risks, or they decided more cautiously, at the cost of missing market timing. In 2026, this dichotomy no longer makes sense. Artificial intelligence allows for the combination of agility and precision in a single strategic move.

In increasingly volatile markets, deciding quickly and deciding correctly has ceased to be a competitive advantage and has become a basic requirement for survival.

The invisible cost of slow decision-making

Slow decisions are not just a matter of process, but of financial impact. Delays in responding to opportunities, operational deviations, or changes in customer behavior generate losses that are difficult to measure, but profound in the bottom line. According to studies by Bain & Company, companies with faster decision-making cycles grow up to twice as fast as their direct competitors.

In practice, slowness is usually linked to dependence on manual reports, fragmented data, and successive validations. The more intermediate steps involved, the greater the risk of losing relevance at the moment of decision.

When speed compromises quality

On the other hand, decisions made solely based on intuition or incomplete data tend to generate rework, constant corrections, and loss of internal confidence. Haste without intelligence transforms agility into instability. The result is frequent adjustments, misalignment between areas, and difficulty in execution.

Deciding quickly is not deciding in the dark. Speed ​​is only sustainable when there is clarity, context, and reliability of information.

AI as a bridge between agility and precision

Artificial intelligence solves this paradox by eliminating the time spent preparing information. Instead of gathering data, consolidating spreadsheets, and interpreting reports, leaders gain access to ready-made, updated, and contextualized analyses in real time.

With AI and predictive BI, the decision happens at the right time, based on evidence and projected scenarios. The technology anticipates risks, points out opportunities, and drastically reduces the margin of error, without slowing down the process.

From Raw Data to Actionable Decisions

The great advantage of AI lies not only in analysis, but in translating data into action. Instead of lengthy dashboards and subjective interpretations, artificial intelligence answers direct questions, indicates priorities, and suggests clear paths.

This model reduces the cognitive overload of managers and accelerates execution. Making the right decision ceases to be a lengthy process and becomes a continuous flow, integrated into the business routine.

Real-time decisions change the game

Companies driven by real-time data can quickly adjust course without compromising strategy. AI continuously monitors critical indicators and issues alerts when something deviates from expectations. This allows for quick, informed, and preventative decisions, avoiding late corrections and unnecessary costs.

According to Gartner, organizations that adopt advanced analytics and decision automation reduce the average response time to critical events by up to 25%, while maintaining or increasing the quality of decisions.

The New Role of the Leader in the AI ​​Age

With the support of artificial intelligence, the role of the leader evolves. Less time is spent validating numbers and more energy is directed towards strategic interpretation, team alignment, and execution. AI does not replace the decision-maker, but it expands their ability to see the business clearly and act with confidence.

Deciding quickly and deciding correctly becomes a reflection of analytical maturity, not pressure or improvisation.

How Sherlock Enables Fast and Correct Decisions

Sherlock was designed to eliminate the trade-off between speed and accuracy. By connecting data from different areas, applying artificial intelligence, and delivering objective answers, the platform transforms simple questions into strategic decisions in seconds.

With intelligent alerts, integrated analyses, and a focus on action, Sherlock acts as a strategic co-pilot, helping leaders decide at the pace of the market, without sacrificing consistency and profitability. In a scenario where time and accuracy go hand in hand, deciding quickly and deciding correctly ceases to be a choice and becomes the standard.