Qoris AI: AI operating system that unifies multi-intelligence collaboration, automation platform that integrates sales, customer service and knowledge base

Qoris AI is a unified AI Operating System designed to address the current fragmentation of enterprise AI tools. Unlike traditional single-function chatbots, Qoris AI integrates Agents across multiple verticals, including sales, customer service, knowledge base management, and marketing, under one unified platform. The core vision of the platform is to orchestrate the work of sub-intelligences through a centralized "brain", the Thinking Agent™ (scheduled for release in Q1 2026). Users set specific business goals (e.g., "Reduce customer churn at 15%"), and the Thinking Agent™ automatically breaks down the tasks, sets KPIs, and directs the sales or customer service intelligences to perform the actions. Qoris AI is currently live for Sales Agent and open for Beta testing for Knowledge Agent and Service Agent. The platform supports no-code deployment, allowing SMEs to build enterprise-grade automated workflows at a low cost, realizing closed-loop management of the whole process from lead generation to after-sales service.

Function List

• Sales Agent
  • 24/7 Dive Conversion: 24/7 online reception of website visitors, screening of potential customers through intelligent dialog.
  • Automated conference booking: Directly in the conversation, guide high-interest clients through the booking of meetings or presentations, seamlessly in the calendar.
  • Clue Capture: Automatically collect customer contact and requirement information to generate qualified leads.
• Knowledge Agent (Knowledge Base Intelligence - Beta)
  • Intelligent document parsing: Support for uploading internal documents such as PDFs, SOPs (Standard Operating Procedures), manuals, etc.
  • Instant Q&A Quotes: When an employee or customer asks a question, the AI generates an accurate answer based on the content of the document and provides a citation for the source of the information.
  • data interaction: Transform unstructured documents into interactive intelligent assistants to improve information retrieval efficiency.
• Service Agent (Customer Service Intelligence - Beta)
  • multichannel support: Provide automated customer support services across multiple channels including website, email, etc.
  • Work Order Management: Handles common inquiries and can categorize and escalate flow for complex issues.
  • After-sales satisfaction: Ongoing follow-up after sales conversion to answer user questions and maintain customer relationships.
• Thinking Agent™ (core brain - expected 2026 Q1)
  • Goal-oriented implementation: Users don't need to write complex prompts, just enter a business goal (e.g. "Increase conversions").
  • Automatic strategy planning: The system automatically translates goals into execution strategies and KPIs for multiple intelligences.
  • Cross-intelligence collaboration: Coordinate different intelligences such as sales and customer service to share data context and work together.
• Unified Management Platform
  • Code-free deployment: Intelligent bodies can be configured through a visual interface, no programming knowledge required.
  • shared context: Sharing of customer data among all intelligences avoids duplication of information provided by customers at different points in the process.
  • Data Analytics Dashboard: Provide real-time analysis of interaction data and conversion metrics.

Using Help

Qoris AI is designed to work "out-of-the-box", with a modular approach that allows users to build their own AI business streams step-by-step. Below is a detailed how-to guide to help you deploy your first AI intelligence from scratch.

1. Registration and workspace initialization

• Create an accountTo register for Qoris AI, visit the Qoris AI website and click on "Sign In" or "Try for Free" in the upper right hand corner. Email registration is currently supported.
• Select ProgramNew users can start with the "Free Plan" by default, which includes 100 queries and 1 Smartbody slot per month. If you are a team, we recommend upgrading to "Starter" or higher later to unlock more projects and storage space.
• Establishment of the project: After logging into the console, click on "Create New Project". Name your project (e.g. "Company website assistant") and the system will automatically assign you a separate workspace.

2. Deployment of Sales Agent

This is the most core and fully live feature for businesses that acquire customers through their official website.

• Selecting an Intelligent Body Type: In the project dashboard, select the Sales Agent module.
• Configuring Roles and Conversations::
  • persona: Give your AI a name (e.g., "Sales Consultant Alex") and upload an avatar.
  • target setting: Define the main tasks of the AI, such as "guide the user to book a demo" or "collect the user's mailbox".
  • knowledge input: Enter your company's basic introduction, product selling points and common objections handling (FAQ). The system will generate dialog logic based on this information.
• Integrated Calendar: If your goal is to book a meeting, you'll need to connect your calendaring tool (such as Calendly or Google Calendar) in Settings so that the AI can read the availability and send the appointment link directly.
• Embedded website: When the configuration is complete, click "Deploy". A JavaScript code snippet will be generated. Copy and paste this code into the HTML of your company's website. <head> maybe <body> tab. After a few minutes, the chat bubble in the lower right corner will take effect.

3. Setting up the Knowledge Agent

Use enterprise documents to train AI to answer more accurately.

• Upload data: Go to the "Knowledge Base" section and click on "Upload Documents".
• Supported formats: Supports uploading product manuals, employee manuals or technical documents in PDF, DOCX, TXT, etc.
• Indexing and Training: Once uploaded, the system automatically OCR-recognizes and vectorizes the document. This process usually takes a few minutes, depending on the size of the document.
• Test Q&A: In the "Test Agent" window on the right, try asking for specific details in the documentation (e.g. "What is the refund policy?"). in the document (e.g. "What is the refund policy?"). Check that the AI's answer accurately quotes the document. If not, you can manually reword the document or add additional clarification.

4. Preview of Thinking Agent™ workflow (conceptual version)

While the feature is scheduled to be fully available in 2026, the current logic is already reflected in the platform design.

• Setting business objectives: In future releases, you will not need to manually configure each dialog node. All you need to do is enter in the console: "Increase website visitor retention by 20% next quarter".
• automated programming: Thinking Agent™ analyzes historical data, suggests that Sales Agents adjust their tactical style (e.g., become more proactive), and works with Marketing Agents to send follow-up emails.
• Monitoring and Optimization: You only need to focus on the final KPI spreadsheet, and the system will automatically fine-tune the execution strategy.

5. Monitoring and data analysis

• Real-time dialog flow: On the Inbox or Conversations page, you can view the AI's chats with visitors in real time.
• take over a dialogIf you find a question that the AI can't answer, the administrator can always click "Take Over" and intervene directly in the conversation.
• data sheetVisit the Analytics page to see key metrics including: total conversations, number of leads collected, appointment success rate, and accuracy scores of AI responses.

application scenario

1. SaaS Software Startups
   For understaffed SaaS teams, Sales Agents can be stationed on the website 24 hours a day to answer basic inquiries about product features and guide interested visitors to book product demo sessions directly, filling the unattended sales gap at night.
2. Intra-enterprise knowledge management
   Build an in-house HR or IT support assistant with Knowledge Agent. Instead of asking an administrator when an employee has a question such as "how to request a reimbursement" or "VPN connection failed", ask the AI for the exact steps with references from an uploaded employee handbook.
3. E-commerce customer service
   Service Agent can be integrated into the after-sales page of an e-commerce platform to automatically handle high-frequency, low-value inquiries such as "order inquiries" and "return and exchange policies". When encountering complex customer complaints, the system can automatically identify the emotions and escalate to human customer service to reduce the pressure on the customer service team.

QA

1. Is Qoris AI currently available for free?
   Yes, Qoris AI offers a "Free Plan" that includes 100 queries, 10 AI Actions, 1 Intelligence, and 500KB of storage per month, making it ideal for individual developers or micro-enterprises to try.
2. What is Thinking Agent™? When will it go live?
   The Thinking Agent™ is the core "brain" of Qoris AI, responsible for understanding high-level business goals and directing other intelligences to collaborate rather than just execute predefined commands. According to the official roadmap, this feature is expected to be officially released in the first quarter of 2026.
3. Is my data secure and what compliance standards does Qoris AI meet?
   Qoris AI claims to use enterprise-grade security standards, including encrypted data transfer. The official page shows that it meets GDPR compliance requirements and has a SOC 2 Type II certification to ensure the privacy and security of enterprise data.
4. What if Sales Agent cannot answer a customer question?
   The system supports "human-machine collaboration" mode. If the AI encounters a low confidence question or a customer requests human service, it can seamlessly transfer the conversation to a human agent (if online) or direct the customer to leave contact information for follow-up.
5. What languages does Knowledge Agent support?
   Although the main interface is in English, based on the underlying capabilities of the larger model, Knowledge Agent usually supports multilingual document parsing and multilingual Q&A (i.e., upload a Chinese document and the AI can answer it in Chinese), depending on the extent to which the underlying model supports a particular language.