Financial companies live under different pressures.<\/p>\n\n
Because when a system fails, the impact is not only technical.<\/p>\n\n
It can mean:<\/p>\n\n
And in an environment where digital services run 24\/7, reacting quickly is no longer an advantage.<\/p>\n\n
\ud83d\udc49 today is part of operational continuity.<\/p>\n\n
Many financial institutions already have advanced monitoring and observability tools.<\/p>\n\n
They use solutions such as:<\/p>\n\n
And that allows them to detect many, many problems before the user does.<\/p>\n\n
But even with all that visibility, a huge challenge remains:<\/p>\n\n
\ud83d\udc49 the reaction still depends too much on people<\/strong><\/p>\n\n Especially when scenarios such as:<\/p>\n\n That’s where the delays start.<\/p>\n\n And in the financial sector, a few minutes can make a huge impact.<\/p>\n\n In many financial operations, the N1 support is under constant pressure.<\/p>\n\n Because it is the team that receives first:<\/p>\n\n And from there it must:<\/p>\n\n All this:<\/p>\n\n \ud83d\udc49 under pressure and against time.<\/p>\n\n The problem is that many of these tasks are repetitive.<\/p>\n\n But they still take up a lot of operational time.<\/p>\n\n Instead of relying on one person to always do the same manual process:<\/p>\n\n \ud83d\udc49 some companies are beginning to automate initial incident analysis.<\/p>\n\n And that’s where 24Brains<\/a> comes in.<\/p>\n\n 24Brains<\/a> is a dParadig software designed as an intelligent complement to 24Cevent<\/a>.<\/p>\n\n Your approach is to act as a:<\/p>\n\n \ud83d\udc49 automatic N1 support supported by AI<\/strong><\/p>\n\n It does not replace monitoring.<\/p>\n\n It does not replace equipment.<\/p>\n\n What it does is:<\/p>\n\n \ud83d\udc49 reduce the time between detection and action<\/p>\n\n When an alert occurs, 24Brains<\/a> can:<\/p>\n\n \ud83d\udc49 all in seconds<\/p>\n\n Because financial operations usually have:<\/p>\n\n And in that context:<\/p>\n\n \ud83d\udc49 automating the first actions generates a lot of value<\/p>\n\n A very common scenario.<\/p>\n\n The API starts to respond slowly and they appear:<\/p>\n\n 24Brains<\/a> can:<\/p>\n\n \ud83d\udc49 less time researching from scratch<\/p>\n\n Another typical scenario:<\/p>\n\n Instead of relying entirely on immediate manual review, 24Brains<\/a> can:<\/p>\n\n \ud83d\udc49 accelerating the operational reaction.<\/p>\n\n Today much of the financial expertise occurs in:<\/p>\n\n And when any of these services fail:<\/p>\n\n \ud83d\udc49 the user notices it immediately<\/p>\n\n\n
Operational wear of the N1 bracket<\/h1>\n\n
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This is where AI starts to make sense<\/h1>\n\n
What is 24Brains?<\/h1>\n\n
What can 24Brains do?<\/h1>\n\n
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Why does this make so much sense in financial companies?<\/h1>\n\n
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Cases where this makes sense<\/h1>\n\n
Slow financial APIs<\/h2>\n\n
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High consumption in critical servers<\/h1>\n\n
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Problems in digital channels<\/h1>\n\n
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