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Agent
AI Assistants

Not a chatbot. AI that gets work done.

Let your customers and teams speak in natural language; Agent understands their needs, finds the right information and carries out the actions within its permissions. Manage a wide range of tasks through AI, from creating requests and processing documents to updating data and running workflows. By learning your enterprise systems and processes, Agent becomes a digital assistant that works 24/7. It understands the question. Finds the data. Runs the process. Completes the task.

Self-Service AI Agent

Let your customers complete their own transactions. Instead of a chatbot where customers can only ask questions, offer an experience that understands their need and carries out the required action. Customers can update their details, raise a request or complaint, open a work order, look up their existing records and complete the actions they are authorised for without needing a live agent.

Document Management with AI

Understand documents and turn them into data. Process the documents, forms and other content users send through Agent. Understand the information in a document, extract the required fields and pass them to the relevant customer, transaction or workflow, reducing manual data entry.

Sentiment Analysis

Understand not just what customers say, but how they feel. Analyse satisfaction, hesitation, frustration and other emotional signals in conversations. Surface negative or critical conversations so teams can see faster which customer needs attention and when.

Multilingual AI

Answer every customer in their own language. Serve your customers without setting up separate systems for each language. Agent recognises the language of the conversation, communicates with the customer in the right language and can run the same processes across different markets on a shared structure.

Role, Permission and Security Management

You decide what it's allowed to do. Centrally manage which information Agent can access and which actions it can perform for each user. Restrict permissions such as viewing information, creating or updating records and starting processes by role and business rules, so the AI works under control.

Service and Support Agent

The first point of contact for customer service. Go beyond FAQs: understand the customer's request, access the relevant data and complete possible actions directly. When something can't be resolved or needs human judgement, hand the conversation over to the right customer service team with full context.

AI-Driven Process Management

Run workflows through conversation. Users describe what they want to do in natural language, and Agent starts the relevant workflow and manages the necessary steps. Make approvals, task creation, opening records, updating information or triggering other systems a natural part of the conversation.

Request, Complaint and Work Order Management

Turn requests from conversations into processes. Don't leave what a customer tells you buried in the chat history. Agent understands the conversation and can create a request, complaint, service case or work order, check the status of existing records and tell the customer which stage their case is at.

Smart Handoff to Live Agents

A human steps in when needed. Not every conversation has to be resolved entirely by AI. Agent can hand the conversation over to the right employee when needed; the representative sees the conversation history, summary and actions taken, and picks up where it left off.

Brand and Communication Identity

It speaks with your corporate identity. Define not only what Agent says, but how it says it. By defining your brand voice, communication style, product information and operating rules, give customers an assistant that understands your organisation instead of a general-purpose AI.

Task and Skill Management

One agent, many tasks. No need to build a separate chatbot for every process. Give the same agent different skills, such as providing information, creating records, processing documents, customer service, sales support or operational tasks.

Integration and Action Layer

It works together with your enterprise systems. Don't leave Agent as an isolated chat island. Run it alongside CRM, Commerce, Loyalty, service, document, workflow and other enterprise applications to turn conversations into real business processes.

Record and Data Management

It doesn't just read data, it updates it. Agent isn't limited to querying enterprise data. It updates customer information, fills in forms, creates new records and changes existing ones, all within the permissions and business rules you define.

Automatic Logging and Summarisation

Build customer memory from every conversation. Automatically identify key customer information and actions within conversations held with Agent. Turn conversations into summaries, CRM activities, requests or other enterprise records so that information from chats isn't lost outside the system.

Live Conversation Monitoring

Join the conversation if you want to. Authorised users can follow ongoing conversations and step in when necessary. Automation and human support become parts of the same customer experience rather than two disconnected channels.

Quick Setup

Get started in minutes. Building an agent shouldn't require long projects and complex development. Define your corporate identity, its area of work and core tasks to create your first agent in about a minute, then expand its knowledge, tasks and capabilities as your needs grow.

Sales and CRM Agent

It works alongside your sales teams. Summarise customer history, query open opportunities, prepare information before meetings and identify the actions that need follow-up. Rather than replacing your sales teams, Agent reduces their research and admin load so they can spend more time with customers.

Not a chatbot. AI that gets work done.

It understands the question. Finds the data. Runs the process. Completes the task. Agent is designed not just to generate answers for customers, but to work with your enterprise systems to create records, update information, process documents, start tasks and track processes.

Brands using this product

Juan Valdez
Shiniq
MSA
OSP
Juan Valdez
Shiniq
MSA
OSP

Let’s talk about Agent for your business

Frequently asked questions

Investing in an AI agent is not just about answering customer questions automatically. The real value is building a digital work layer that understands the conversation, reaches the corporate information it needs and actually completes the tasks within its authority.
Success Stories

How brands grow with INNTHEBOX

Sector leaders describe how they manage loyalty, sales, analytics and field processes on a single platform.

Gratis
01

We built Gratis Beauty’s digital transformation on a single platform that gives customers an uninterrupted service experience and store teams end-to-end operational management.

Retail (personal care & cosmetics)

An end-to-end beauty platform from booking to store operations
gratis beauty
Read the Story
Teknosa
02

For Teknosa we built a comprehensive loyalty and campaign management platform that knows the customer, segments them by behaviour, brings the right campaign to the right member and makes the results measurable.

retail (technology)

Loyalty tailored to every customer, unified across every channel
TEKNOSA
Read the Story
sahibinden.com
03

For Sahibinden.com, customer service, complaints, SLAs, campaigns, quotes and orders come together on a single agent screen; every call turns into a personalised service and sales opportunity.

e-commerce (services)

From a call centre to an intelligent customer engagement platform
sahibinden.com
Read the Story
Starbucks
04

Starbucks Türkiye’s stars, campaigns, prepaid card, QR payment and customer service processes come together in one experience.

food & beverage (coffee)

The platform that turns every coffee into loyalty
starbucks türkiye
Read the Story
MSA
05

MSA is no longer just an academy present on digital channels; it is a platform company that runs its whole operation digitally, from sales to teaching, from data to communication.

food & beverage (education & gastronomy)

From ticket sales to an end-to-end digital academy
culinary arts academy
Read the Story
Total
06

Mechanics, service points, field teams, dealers and head office came together in an integrated ecosystem working on the same current data.

energy

One digital ecosystem from the mechanic to the field, from loyalty to sales
TOTALENERGIES
Read the Story
Borusan
07

We built Borusan Lojistik eTA’s digital transformation on bringing truckers, vehicles, field teams, the call centre and transport operations together on a shared data and process infrastructure.

logistics

Managing not the truck, but the entire lifecycle of the transport
borusan lojistik - eta
Read the Story