Sinch Agentic AI

  Chatbots are good at answering questions. When a customer has a billing issue that travels from one channel to the next, it becomes more difficult in enterprise CX because the next system has lost context. A trained bot will likely refer the customer to a help article, while an agentic system can work towards an outcome through allowed systems. An AI customer support agent can do more than just respond, but the autonomy of the agent brings up questions of control, accountability, and when a human needs to intervene. We will discuss both methods and demonstrates how enterprises can select the correct CX solution.   What traditional chatbots do well Traditional chatbots handle predictable requests efficiently. They are capable of handling common FAQs, provide policy information, collect basic information and walk users through common processes. The constraints become clear when a conversation takes a detour. A user may add new information, ask for an exception, ...

  What if a customer calls about a delayed loan payment and gets stuck in a menu? They want an answer and help that remembers what they’ve explained, without repeating themselves. That’s where agentic AI customer service comes in. Unlike traditional bots, agentic AI can work toward an outcome across several steps. The examples below show where it can help enterprise teams across complex service operations.   Beyond scripts and standard chatbots Traditional bots follow predefined paths. Agentic systems can interpret a request, check permitted information, choose the next step, and act within business rules. That might mean checking an application status or sending a reminder. The goal isn’t autonomy for its own sake; it’s fewer unnecessary handoffs with decisions that remain accountable.   Give customers a useful voice experience A voice AI agent can answer questions, clarify a request, and retrieve information from systems. Imagine a customer checking an...

  When customers telephone their bank, they want to be answered, not to spend ten minutes listening to a navigation menu. Is a loan sanctioned? When does an EMI fall? Which KYC document have you not supplied? Agentic AI can assist voicebots manage mundane calls by interpreting the customers, verifying from the authorized data, and dictating the following line of action. This blog touches on BFSI applications and how to automate them without alienating your customers.   Take loan status calls off the queue Loan applicants often call to check progress. One connected voicebot is all you need to authenticate, get the status, explain the stage of the application, and inform of the next steps. That translates to less repetitive calls for service teams and fewer question marks for applicants. If human review is needed, the bot should say so rather than guess.   Make EMI reminders more useful A reminder should do more than announce a date. Customers may require...

  For years, businesses have used AI to answer questions, summarize information, predict customer needs, and recommend products. In 2026, the next major shift is taking place: AI is moving from simply responding to customers to completing tasks on their behalf. This is the role of agentic AI . An AI agent is designed to pursue a specific objective. It can understand a customer request, collect relevant information, interact with connected business systems, take approved actions, and adjust its approach when the situation changes. For example, a customer may initially ask, “Where is my refund?” To answer that question properly, the agent may need to: ·        Identify the customer. ·        Locate the original purchase. ·        Check whether the return was received. ·        Confirm whether the refund was initiated. ·      ...

  Financial services are among the most promising and challenging environments for agentic AI . Banks, insurers, lenders, payment providers, and fintech businesses manage large volumes of customer requests, many of which follow repeatable procedures. At the same time, a mistake involving a payment, loan, account, insurance policy, or identity record can have serious consequences. This makes BFSI an important testing ground for responsible AI autonomy. Where agentic AI can help A financial-services agent may assist with: ·        Loan-application status. ·        Outstanding-document notifications. ·        KYC updates. ·        Payment-date enquiries. ·        Card-related service requests. ·        Account-information changes. ·        Insurance-renewal...