Inagent answers inquiries, handles issues, follows up, and routes cases that require human judgment. Your customers get instant support, and your team steps in only when it can add value.
Customers who already trust Inagent
For answering calls, identifying the reason for contact, resolving inquiries, and routing customers to the team.
For handling inquiries, requesting information, and following up on a request within the same conversation.
For providing immediate answers while customers browse your website, explore a service, or seek help.
For turning social media messages, questions, and issues into traceable customer service requests.
For sending alerts, reminders, confirmations, and brief updates about a request.
Inagent responds with approved information about services, processes, policies, timelines, and procedures.
Create specialized AI agents for inquiries, issues, follow-up, initial support, or escalation, all within the same platform.
Apply the same service criteria across voice, WhatsApp, webchat, SMS, and social media to ensure consistent service quality.
Customer service AI agents retrieve information and update requests in your CRM, contact center,
e-commerce platform, and other business systems.
Define how far AI agents can go, then route each case with its history, collected data, priority, and a clear reason for the transfer.
Analyze contact reasons, repeat inquiries, complaints, issues, and transfers to improve customer service AI agent performance.
Security and governance
Inagent is certified to ISO/IEC 42001 and ISO/IEC 27001, supporting responsible AI management and information security.
Personal, account, order, and issue data is encrypted in transit and at rest, with access controls in place.
Inagent runs on Amazon Web Services to keep service stable even during periods of high demand.
Transform your customer service with AI agents
Request a FREE demoWe assess business impact and technical feasibility to identify the customer service process with the greatest potential for success.
Together, we define the language, accent, and tone; information sources and knowledge bases; permissions, actions, and handoff criteria.
We integrate your CRM, contact center, help desk, e-commerce platform, and any other systems needed to retrieve or update information.
We activate the AI agent in phases, review conversations, and refine its performance using real data so you can continue scaling.
Setup, phone numbers, initial configuration, and Meta-approved templates.
Together, we identify the process with the greatest impact on your business.
We define rules, accent, and tone, and connect Inagent to your systems.
We go live in phases, measure results, and refine the solution together.
Customer service AI agents are designed to handle inquiries, collect information, retrieve data from systems, initiate requests, communicate updates, and route cases to human teams. Unlike AI chatbots or voicebots that only provide predefined answers, Inconcert AI agents can interpret customer intent and perform actions within established permissions. With Inagent, every agent works with your information sources, processes, and service rules.
It can answer questions about services, orders, opening hours, documentation, policies, terms, appointments, billing, or request status, among other topics. Its scope depends on the available information and configured integrations. When an inquiry exceeds its permissions or requires human judgment, the agent transfers it to the contact center team with full context.
Yes. An AI agent can provide initial support: identify the problem, collect data, ask diagnostic questions, offer authorized steps, classify urgency, and create or update the corresponding request. Complex, critical, or sensitive issues are escalated to the technical team according to the defined rules.
No. They can also be used for outbound customer service. Inagent can run outbound campaigns to report status changes, request documentation, send appointment reminders, communicate delays, confirm deliveries, or check whether an issue has been resolved. Customers receive information through the right channel before they have to ask for it.
Yes. When Inagent is connected to your systems, the AI agent can tailor its answer using available information about the customer, their order, their service, or an open request. Access to this data is limited by the permissions, controls, and rules defined by the company.
Yes. Inagent can connect to CRM, contact center, e-commerce, and other business systems to retrieve information, log conversations, update statuses, or trigger the next step in a request. Inagent includes native integrations with the entire Inconcert ecosystem and with third-party software such as Salesforce, Jira, Shopify, Calendly, Google Calendar and Sheets, Outlook Calendar, HubSpot, and Supabase. It connects to other systems through REST APIs. These integrations transform generic answers into contextual, traceable customer service.
The AI agent transfers the conversation to the human team with the history, collected data, reason for contact, actions already taken, and reason for escalation. The human agent understands the case from the outset, and the customer does not have to explain everything again.
Inagent, Inconcert's AI agent platform, is omnichannel, allowing agents to operate across voice, WhatsApp, webchat, SMS, Instagram DM, and Facebook Messenger. Inagent applies the same service logic across channels while maintaining conversation traceability.
A traditional chatbot typically answers questions or follows closed flows. An AI agent can interpret what the customer needs, retrieve information, apply business rules, update systems, and decide when a person should intervene. The main difference between AI agents and bots lies in how they converse and, above all, in their ability to resolve tasks without being tied to closed flows.
Inagent works with information sources and rules defined by the company. You can specify what information it uses, which actions are allowed, which topics require validation, and when it must stop or escalate. Conversation histories also make it possible to review results and continuously refine each AI agent's performance.