FAQs
Find answers to common questions about Konverso, including business use cases, AI agents, integrations, and enterprise capabilities.
What is an AI Agent?
An autonomous expert Gen AI agent is a computer system designed to operate independently and perform specific tasks within a domain of expertise with a high level of efficiency. These agents consist of a set of components that enable learning, reasoning, planning, decision-making, and action, while having access to both internal and external data and knowledge. An orchestrator facilitates the execution of tasks that can range from simple to complex and allows for collaboration among agents. Read more.
Do I need technical or coding skills to use Konverso's AI Agents?
No. Konverso’s AI agents are designed to be user-friendly and no-code. This means users with any background can build AI agents and interact with AI Agents without needing any programming expertise.
Is the AI agent secure and compliant with data security protection standards?
Yes. Konverso’s platform is enterprise-grade secure, featuring strong data encryption at rest and in transit, granular data sharing controls, and strict governance around data usage. The platform is GDPR-compliant and SOC 2 Type II certified, and customer data is never used to train external models. We make sure that the user's sensitive data is safe and secure. With Konverso, you retain full ownership and control of your data. You decide what enterprise data the agent can access, and Konverso does not access or process information beyond the boundaries you set. This privacy-first approach ensures that sensitive audit and compliance information remains protected
How do AI Agents improve team productivity?
By automating repetitive or complex analysis tasks and turning raw data into easily understandable insights quickly, these agents allow your team to focus on higher-value strategic work, speed up reporting cycles, and make better decisions backed by data.
What are the best AI Agent Platforms?
The best AI Agent platforms include Konverso, Co-pilot studio, and more. AI Builders Research, the analyst arm of AI Builders, has developed an AI Decision Matrix that delivers a comprehensive market analysis. You can access it here.
What are the different buisness use cases Konverso supports?
Konverso supports a wide range of business use cases by deploying AI agents that automate tasks, surface knowledge, and assist both employees and customers. Key use cases include:
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Knowledge Management
Centralized access to company information with semantic search, document summarization, content organization, and up-to-date knowledge retrieval. -
Customer Service & Support
AI agents that answer customer questions, draft support responses, assist human agents, and reduce response times across chat, email, and messaging channels. -
Employee Productivity
Automation of everyday tasks such as meeting summaries, document creation, content refinement, image analysis, and quick answers from internal systems. -
HR & Internal Services
Support for employee onboarding, policy and benefits questions, and internal HR assistance. -
IT Service & Helpdesk
First-level IT support, troubleshooting guidance, and automated responses to common technical issues. -
Sales & Marketing Enablement
Content creation, sales messaging support, CRM-connected assistance, and marketing productivity tools. -
Integrated Business Workflows
AI agents that work within existing tools like Microsoft Teams, SharePoint, CRM systems, and ticketing platforms to automate cross-system processes. -
Custom & Industry-Specific Automation
Tailor-made AI agents trained on your own data to support unique workflows or industry-specific needs.
What are AI Agents for Customer Support?
AI agents for customer support are intelligent software programs that automatically handle customer inquiries, resolve issues, and provide information through chat or ticketing. They use natural language processing to understand requests, deliver accurate answers, and escalate complex cases to human agents when needed, improving response times and customer satisfaction.
What are AI Agent for HR?
AI agents for HR are intelligent virtual assistants that automate and streamline HR processes such as answering employee questions, onboarding, managing leave requests, and providing policy information. They improve efficiency, reduce administrative workload, and enhance employee experience by delivering instant, accurate support.
What are AI Agents for IT?
AI ITSM refers to the use of artificial intelligence within IT Service Management, where intelligent and autonomous systems enhance traditional proceedings by automating repetitive tasks, analyzing service desk data,. These capabilities help identify potential issues early, improve service quality, and support continuous improvement across IT operations.
In IT, agentic AI in ITSM enhances user experience by delivering accurate responses, improving user satisfaction, and ensuring unified, consistent service delivery. By reducing manual work and allowing teams to focus on higher-value tasks, agentic AI strengthens overall IT performance and organizational outcomes. Learn more here
Does Konverso offer a free trial?
Yes, we offer a 15-days free trial. After that you will have the option to subscribe to one of our plans. You can visit our pricing page, here.
Does Konverso AI agents support information across multiple internal and external data sources? How?
Yes, Konverso AI agents can connect to a wide range of internal systems such as document repositories, databases, CRMs, and knowledge bases, as well as selected external data sources through secure APIs. They autonomously search, retrieve, and consolidate relevant information, allowing teams to get answers faster without manually querying multiple systems.
Why is MCP support important for AI models?
MCP support allows AI models to go beyond static responses, they can invoke tools, retrieve live data, and execute actions on connected systems (like CRMs, code repositories, or databases) without custom integrations for each connection. This results in more powerful, context-aware AI agents.