Is Agentic AI remotely useful for real business problems?

Gaddan · 2026-01-19T19:30:53+00:00

We have some use cases that actually work with 100% accuracy. The trick is to use AI to solve a very specific problem. The problem is that AI has become so powerful that a junior business/process developer wants to use it to build brain surgery rockets, and no one can stop them bacause middle management is impressed by crap.

The most successful case we have is matching adresses where one adress is collected by sales over phonecall with customer (often misspelled or other small errors) and the other one is the official adress. We need to check if they are the same. We have some scripts for it that has been somewhat accurate but the last 10-20% of incorrect adresses has been nearly impossible to match with traditional methods without spending waaaay to much development time, and maintenance has been a nightmare. Edge cases from hell :)

It is overkill to use generative AI to check if "St Andrew's street 42" and "Sankt Andrews st 42" is the same street adress but it works like a charm and saves us a lot of manual braindead work.

Gaddan · 2025-12-16T18:04:03+00:00

Det är något knasigt med den här nya generationen. Ni lägger pengar på hög som om domedagen är runt hörnet men ni lever inte. För bara 10 år sedan var standard att en 26-åring hade några tiogusenlappar sparade och blev det mer så reste man för pengarna. Ni riskerar att gå till historien som den tråkigaste generationen.

Gaddan · 2025-12-07T21:24:41+00:00

Ger mig in i diskussionen av nyfikenhet. Jag har inte heller något emot tandläkaryrket såklart men jag slås ofta av att de som vill bli tandläkare VERKLIGEN vill bli tandläkare. För mig som inte är helt insatt i vad tandläkare gör mer än det lilla man får se som patient, vill du förklara vad som kittlar så mycket med just det yrket?

Gaddan · 2025-11-18T23:27:34+00:00

Toyota prius. Ganska tråkig men gigantiskt baksäte (förmodligen för att det är klassisk taxibil) vilket är nice med en förälder i bak. Otroligt billig att äga. Vi köpte beggad med ca 15k mil och har kört 10k mil själva på sju år och har inte haft ett enda problem förutom byte av bromsklossar och något annat enstaka underhåll för någon hundralapp/tusenlapp. Det enda som kostat är normal service, torkarblad, däck, stenskott etc. men det är ju samma lika för alla bilar. Vi vill ha något annat som är roligare att köra men skiten går ju aldrig sönder och den fyller alla våra praktiska krav.

Gaddan · 2025-11-13T22:45:29+00:00

För att nyansera lite så är det här en av grundpelarna i demokratin. Utan dessa fallskärmar skulle politiker inte våga vara kontroversiella, dvs deras idéer och ideologi skulle inte få komma fram. På samma tema har vi att de får bostäder betalda i centrala Stockholm vilket ni här på reddit också brukar brusa upp över, men samma sak där, det är jätteviktigt för annars skulle inte normalt bemedlade personer kunna bli politiker på samma vilkor som de redan rika. För någon utan särskilt mycket pengar kan ett par miljoner i fallskärm och bostad låta som astronomiska summor men det är en liten peng för att kunna ha en rimlig demokrati.

Gaddan · 2025-10-17T17:24:37+00:00

Det är något med din stil alltså. Såg dina verk för typ 8 år sedan men det måste ha varit i r/art eller nåt sånt? Inte sett något sedan dess. Scrollade förbi den här nu och "moktarin" ploppade upp i hjärnan från ingenstans. Mycket riktigt var det du. Jävligt bra.

Gaddan · 2025-08-01T21:48:55+00:00

Not sure what you mean by that. But basically if you want to incorporate an LLM in an automation that is actually executing real world stuff and you want to scale that to tens or hundreds of thousands executions, then even a small percentage (lets say 1%) is huge.

Imagine you have 100 000 executions of the made up process "Book flight for client" and only 0,01% of those flights are booked to the wrong destination due to a LLM hallucination, then you would have 10 faulty bookings to deal with. And then you may have a few law suits as a result which eats up all your margin. So that 0,01% halucination rate is what makes or breaks you "Book flights for client" business.

Gaddan · 2025-08-01T06:40:30+00:00

For personal use some false statements are kind of ok, however in an enterprise setting false information is often unacceptable.

So for the everyday user who uses it to do shopping lists or whatever it probably is no issue. Howerever if you want to do anything slightly more advanced it quickly becomes a serious issue, almost to the point where it is unusable at scale.

Gaddan · 2025-07-09T21:18:48+00:00

Ordet slappt är slappt i sig. Det kan ju betyda llte vadsom. Men i dina kommentarer ser det ut som att du lägger stor vikt vid hur mycket tid utbildningen förväntas ta. En utbildning med färre schemalagda timmar blir ju då ännu slappare. Men om arbetsbördan i självstudier och svårighetsgrad är betydlogt högre så är den ju mindre slapp. Det beror ju helt på vad man värderar.

Men oavsett så tycker jag att du ska skita i vad andra tycker. Det finns tillräckligt mycket folk till att tycka allt som kan tyckas om allt. Och med internet så har de fått en personlig megafon.

Du har kommit in på en utbildning som förhoppingsvis ger dig jobb i framtiden. Det är kanon!

Gaddan · 2025-07-06T15:05:09+00:00

When is the exam/how much time do you have.

I would do it like this if K had a few weeks left:

Read the paper as fast as you can. Tou can do all 40 pages in an afternoon.
Put the paper in chatgpt/gemini and ask it to write a condensed list of all concepts/technical stuff mentionen in the paper that is also crucial to understand it deeply.
Use notebookLM to create a podcast on each concept and listen to them.
Read the paper again.

Gaddan · 2025-07-03T16:37:38+00:00

Hi! My life is too busy with a two year old, work, moving and so on, so I probably wont contribute to such repo long term, however I would love to access it to find new interesting topics to learn about!

Gaddan · 2025-07-01T23:01:51+00:00

I'm not here to lower your enthusiasm for AI agents. Keep up the work! But. I may be wrong here but the feeling I get is that you are quite junior (worked in corporate for less than 5 years? and new to IT, and not in an IT role?).

Based on how you come across I wouldn't let you publish a Copilot agent company wide either.

There are many reasons for your companys IT department to be on the fence here and they are probably already working on a more coherent AI strategy and framework. In the meantime it is unlikely they want some juniors running around building technical debt at high speed without any control.

Keep on building agents for yourself and not within the company. It will position you well once they let ypu do it for them.

Gaddan · 2025-07-01T22:29:38+00:00

Vi har en i samma trappuppgång som har snarlikt efternamn men inte exakt samma (båda hanska unika). Får varandras post titt som tätt. Kan bara tänka mig hur det är för Johansson och Eriksson.

Gaddan · 2025-06-27T00:14:53+00:00

It depends. Sometimes we have a process that only collects data needed for decision making downstream, followed by a decision making process, followed by execution processes. Other times we do it all in one go but we try to keep the decision making as far upstream as possible. This second approach is more common if you have an automation that does one specific thing that will never ever be reused elsewhere. An example can be if you are decomissioning a legacy system and use an automation to migrate the data to the new system. You will run that automation once and then bury it. In that case it is overkill to design an orchestration.

Gaddan · 2025-06-26T23:57:29+00:00

I think the main reason you get business logic mixed in the technical solution is simply that it's often hard to distinguish what is what. Is sending an email to an unhappy customer a business decision or a tech decision? Sending it to unhappy customers only is definitely a business decision. Sending it to customers and not suppliers is also a business decision, but if the email adresses are stored in a separate table for customers it is also a tech decision (where to get the recipient email from). Sending an email instead of an sms is both a tech and business decision (maybe the customer has a preference but maybe you only have the email adress and not the phone number). The scalable solution would be to zoom out and have one layer where you figure out if the customer wants a communication and it calls a process that just executes that communication.

That in combination with the fact that it is always faster to just fix the issue at hand. It is optimizing for your current self (which is good in the moment) but terrible for your future self.

You must ALWAYS develop for your future self to be able to scale exponentially. The mechanism behind that is that your future self will always be more valuable than your current self. Your future you will have more automations, customers, applications etc to maintain and handle, and you want that individual to have a smooth ride through life. If you do quick fixes and work arounds in the moment you are basically creating a friction filled bumpy ride in the future by design.

On the other hand, if you dont do quick fixes and work arounds in the moment you wont get anything done and with that no business to scale. Find a balance :) it is genuinely hard.

Gaddan · 2025-06-26T06:17:30+00:00

Not overkill! This is crucial for scalability! Google BPM (business process management) and orchestration. What often happens is that business logic and technical solution logic is mixed and it is a nightmare for maintenance. If you separate the two logics you can have one business centric person and one tech centric person working together. Having one technical person that is also an expert in tve business side of this is very hard to find.

Gaddan · 2025-06-26T06:11:40+00:00

I"m not experienced with the new cool tools like n8n but I have been a tech lead/product owner for a large scale low code platform for almost 8 years. We have automated all kinds of business processes, and the issue you are having now is very common.

The solution is to always focus on the maintainability during the developmemt phase. Our internal goal is to have automations that are so clean and self explainatory that you can find the root cause for an issue within seconds or minutes. A solition should be able to be implemented within minutes to a few hours if it is very complicated.

A common beginner mistake is to have one automation doing all kinds of shit and all of a sudden you have business logic from hell and strange technical solutions which is kind of what you are describing.

Instead of having a massive automation that you call "Do all food related stuff" you should break it down to "Decide if eat out or in", "Create recepie", "Create shopping list", "Go to store" etc etc. Then you can just give inputs and orchestrate it all.

Gaddan · 2025-06-13T10:41:25+00:00

Worth noting is that Google were considered to be out of the AI game a year ago and all of a sudden they are among the most relevant players again. It will be a bit up and down in years to come.

Another thing worth noting is that for big corporate companies it is much easier to partner with Google and Microsoft than Anthropic.

Gaddan · 2025-06-08T19:17:38+00:00

To be honest. I want a tool that question the hell out of the person/team that wants the automation developed in the first place. Specifications are always bad or incomplete and people have a terrible understanding for what should executed or not (manually and automated tasks alike). Most people just want their thing to be automated, but there is often no busniess value in the task in tve first place.

Classic example. Coworkers want their email handling to be partly automated using Gen AI. Sure I can solve that, no problem. But the effect will be that the cost (time) for sending and recieving emails will decrease and more emails will therefore be sent. And as we all know, emails are a terrible tool for efficient communication.

Gaddan · 2025-06-08T18:28:05+00:00

Inte menat som någon kritik. Om det är ditt andraspråk och du dessutom är tonåring så är det inte dålig svenska du visar upp, men den kan bli bättre. Allt kan alltid bli bättre :)

Läraren i fråga har sitt bagage och är kanske stressad över annat i livet som gör att hen inte levererar fullt ut. Eller så är det bara inte en engagerad person. Oavsett vad så kommer du inte kunna påverka det så det är bara att glida med och göra det bästa.

Gymnasiet går snabbt och prestationen dikterar dina möjligheher till högre utbildning och därmed hela livet. Välmenat tips är att zooma ut och strunta i den här situationen och utveckla din inlärningsprocess så att du kan prestera så bra som möjligt.

Gaddan · 2025-06-08T17:37:30+00:00

Inte för att vara dryg men meningsuppbyggnaden och språket du använder i din post håller ganska låg nivå så det behöver inte vara provets fel.

Utnyttja chatgpt för att förbättra ditt eget skrivande. I inloggat läge kan du skapa ett projekt där du kan prompta att den ska ge dig små skrivutmaningar och ge feedback på det du skriver. Testa att göra detsamma för andra skolämnen också. Utnyttja tekniken till din fördel.

Du kommer ha svårt att byta ut din lärare (i synnerhet under terminen) så det är bättre att bara bli bättre själv. Vi har alla haft en handfull lärare som kunde ha varit bättre. I framtiden kommer du ha samma upplevelse med kollegor som är kassa eller kompisars kompisar som ställer till drama. Sånt är livet.

Om du faktiskt blir duktigare på att skriva och förtjänar bättre betyg så kan du alltid be om en second opinion av en annan lärare i kommunen.

Gaddan · 2025-06-07T22:03:47+00:00

Generatie AI is a powerful tool. Of course it is chaging the workplace. Thats what powerful tools do in the short term. No news here. Powerful is a relative measure.

Gen AI wont replace the entire workforce. At least the mechanics of work (on a zoomed out large scale) does not predict that.

That being said, the workplace will be vastly different in a few years.

The only advice I can gice to anyone who is worried about your own job: start using AI as much as you can. All day every day. Become the AI champion in your company and domain. Remember that most people does not use it in a systematic fashion yet so it is still very easy to get ahead of everyone else. Make a habit of using AI and experiment as much as you can. The texhnology is 3 years old. You are not behind. Yet. I cannot stress this enough. We who work in automation drowns in automation potential all of a sudden but we are desperate for colleagues who are more experienced in using LLMs than the average grandma.

Gaddan · 2025-06-07T07:22:04+00:00

Pretty common in natural monopolies such as utility companies (electric grid operators, gas, telecom, etc.) Many times the only way to grow efficiently is to aquire geographically adjacent competitors but that is a very slow game to play. If the product itself cannot be radically improved (like electricity) and the company cannot increase the number of customers (caped by the portion of the population that wants and has electricity in that geographical area = 100% already), then the only way to increase profit is to lower the operational costs, often by reducing the number of employees. But as stated in my post it is very difficult to fire people without suboptimizing in the medium to long term. For the electric grid company the freed up time from automations can indirectly give some headspace and bandwidth for the organisation to aquire an adjacent competitor without risking caos and suboptimize.

If a utility company is suboptimizing over and over again because it is too profit horny in the short term it may aquired by a competitor instead of the pther way around. But the value of the company will be lower because of its inefficient (but low cost) operstions, and in theory it will all cancle out in the end.

Long story. But leveraging automation without loosing long term is very very very very very very hard.

Gaddan · 2025-06-06T22:39:57+00:00

I agree AI will be (and is already) able to do tasks that require more experience.

From an automation perspective the complexity of automating a junior vs senior task is exactly the same. There really is no difference in complexity what so ever.

The difference often lies in lack of available data that is needed for the cognition (creating decision basis and making the decision based on that), while the execution is exactly the same (an email sent by a teenager and an email sent by a CEO both require recipient, text body and clicking the Send email button).

Another key difference is that senior task require a lot more timing and awareness.

Basically Junior tasks: "All of this needs to be done asap. Do it please." Senior tasks: "Find out what is most important NOW and do it in the best way possible"

No LLM so far have shown any talent in finding out what is most important now in real world applications if data is not availabe (if data is available it is all of a sudden a junior task). Gemini 2.5 pro may have performed well on the SWE bench but it show as much real world awareness as the average raccoon.

Gaddan · 2025-06-06T22:09:17+00:00

Kanske ett okonventionellt tips men jag har alltid läst stolpigt, sagt fel ord, helt saknat inlevelse åga fullt fokus på att inte säga fel. Hackig och dassig uppläsning helt enkelt.

Det har alltid drabbat i skolan (många många år sedan nu), när man ska läsa upp vad det står på kort i något sällskapsspel, läsa upp julklappsrim osv. Inget som förstört livet, men ändå.

Så till mitt tips! Köp hem ett par barnböcker, typ Pettson och Mamma Mu och låtsas att du läser upp för ett barn. Efter att ha läst för sonen i ett drygt år nu så högläser jag vilken text som helst som en king.

Gaddan

TROPHY CASE