# 80% of your queries do not need a person > The problem in a support operation is not volume: it is that the 80% shares a queue with the 20% that does need judgement, and delays exactly what matters. Support ## 80% of your queries do not need a person The problem in a support operation is not volume: it is that the 80% shares a queue with the 20% that does need judgement, and delays exactly what matters. **Luis Aguilar** September 15, 2026 3 min read IN SHORT - More than 80% of queries are resolved without human involvement when an AI agent can check the systems and complete the task. - The real cost is not handling that 80%: it is that it mixes with the 20% that does need judgement, and delays what matters most. - Time to first response falls 61% when the contact stops waiting for someone to be available. - A chatbot that replies and hands off does not shrink the queue: it moves it. It only shrinks if the agent completes the task in the systems. CONTENTS - Two different queues in the same line - Why a chatbot does not shrink the queue - The cost that does not appear in the report Ask at your institution how many queries come in each month and you will get the number right away. Ask how many of those actually needed a person and the conversation gets uncomfortable, because that figure almost never exists. It is the figure that decides everything else. ### Two different queues in the same line In most operations there are two kinds of query mixed in the same place. The first are repetitive and have a correct answer: the balance, the due date, the status of an order, how to update a detail. They do not require judgement. They require access to a system. The second do require judgement: a complaint, an exception, an upset customer, a case that does not fit the policy. There a person contributes something no system does. The problem is not that the first kind exists. It is that they sit **in front of** the second kind in the same line. The customer with a complaint waits behind thirty people asking for their balance. | Queries resolved without human involvement the agent closes the case, it does not hand it off | over 80% | | --- | --- | | Time to first response from when the query arrives | −61% | Figures from the aggregate of Shimli's operation in production, across the processes the agents run. Published Shimli results ### Why a chatbot does not shrink the queue | Criterio | Chatbot | AI agent | | --- | --- | --- | | Where the answer comes from | Text written in advance for a recognised intent. | The institution's systems, queried at that moment. | | What it does with the case | Hands it off. It returns to the queue. | Completes it. It does not return to the queue. | | Effect on the workload | Moves it, and adds a customer who already tried and failed. | Removes it, and frees the line for what needs judgement. | The distinction is worth understanding early because of what it costs to get wrong. A chatbot that hands off does not reduce anything: it displaces the work and worsens the mood of whoever arrives. An AI agent checks the institution’s systems, decides within the policies it was given and completes the task. The query does not come back to the queue because it finished. Inbox · Open MG **María G.** 11:30 Ok, thanks CR **Carlos R.** 10:12 Call · 4m LP **Lucía P.** Lun More info DM **Diego M.** Dom Checked balance MG **María G.** Hi, I'm interested in an item. Sure. Which one? A bed and a wardrobe. You have credit available, I'll connect an advisor. Every conversation in one inbox, with the customer's history in view. What the agent resolves never lands here; what escalates arrives with full context instead of starting from scratch. [See the customer support case →](https://www.shimliapp.com/en/casos/atencion) ### The cost that does not appear in the report Support reports usually measure volume, response time and satisfaction. None of the three captures what the mix really costs. What it costs is that the case that could have retained a customer was handled late, that the person with the best judgement on your team spent the morning confirming balances, and that growing in customers meant growing in headcount at the same rate. That last point is the one a CFO recognises instantly: a cost that rises with every new customer instead of falling. Three questions for your next operations review - Of last month's queries, what share was resolved by checking a system, with no human judgement needed? If nobody has that figure, that is the first job. - How long does a real complaint wait today behind queries that were not? That number is the cost of having a single line. - If volume doubled next quarter, how many more people would you need to hire? If the answer scales one to one, the process is not automated yet. [See how you define what the agent can resolve →](https://www.shimliapp.com/en/funciones) ### Questions on this topic What is the difference between a chatbot that answers questions and an agent that resolves? A chatbot recognises an intent and returns text written in advance; if the customer needs something that requires checking a system, it hands off to a person. An AI agent checks the institution's systems, decides within the policies defined and completes the task, leaving a trace of every decision. How is it decided which cases a person should handle? The institution defines it, not the vendor. You declare what the agent can do, how far it can go and under what conditions it hands the case over. Anything outside that policy escalates to a person with the full context of the conversation. Useful to someone on your team? Share it with whoever decides on this process. [WhatsApp](https://wa.me/?text=80%25%20of%20your%20queries%20do%20not%20need%20a%20person%20https%3A%2F%2Fwww.shimliapp.com%2Fen%2Fblog%2Fthe-queue-nobody-measures) [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fwww.shimliapp.com%2Fen%2Fblog%2Fthe-queue-nobody-measures) [Email](mailto:?subject=80%25%20of%20your%20queries%20do%20not%20need%20a%20person&body=80%25%20of%20your%20queries%20do%20not%20need%20a%20person%20https%3A%2F%2Fwww.shimliapp.com%2Fen%2Fblog%2Fthe-queue-nobody-measures) Copy link ### Keep reading [See all →](https://www.shimliapp.com/en/blog) - Support #### Your next banking channel is already installed: WhatsApp AI agents are doing to apps what apps did to websites. What that means for an institution running real volume, and what separates a chatbot from an agent. September 25, 2026 - Platform #### FINNOSUMMIT 2026: one in three sessions was about AI Instead of summarising impressions, I counted the sessions: 22 of the 67 had AI in the title. That says a lot about where banking in the region stands. September 25, 2026 - Platform #### The next AI advantage is: trust What the Volcano Innovation Summit 2026 left behind: when capability gets cheap, the advantage becomes trust. And trust has two sides. September 16, 2026 ### Put an agent to work on this process. Create the account and start today. Or we take 30 minutes and define which metric you'll move. [Create account](https://shimli.app/user/auth/create-account) Book a demo [See the full support case →](https://www.shimliapp.com/en/casos/atencion)