11x
11x provides AI-powered digital workers, like Alice the AI SDR and Julian the AI Phone Agent, to automate …
11x provides AI-powered digital workers, like Alice the AI SDR and Julian the AI Phone Agent, to automate sales and customer engagement tasks. These autonomous agents operate 24/7 to identify prospects, personalize outreach, qualify leads, and book meetings, freeing up human teams for high-impact strategic work and accelerating revenue growth.
About Virtual Agents
Virtual Agents are AI-powered autonomous programs designed to perform complex tasks and workflows on behalf of users. They leverage Large Language Models (LLMs) and process automation to understand intent, access data, use other tools, and execute multi-step actions without direct human intervention. This enables them to automate sophisticated processes in customer support, internal operations, and personal productivity. Unlike simpler chatbots that primarily answer questions, Virtual Agents possess a degree of autonomy, allowing them to handle entire processes from start to finish.
Core Features
- Autonomous Task Execution: Independently completes multi-step workflows, such as processing a refund or scheduling a complex meeting.
- System Integration & API Usage: Connects to external software like CRMs, databases, and other APIs to fetch or update information.
- Complex Reasoning: Analyzes situations, makes decisions based on predefined logic, and plans sequences of actions.
- Proactive Engagement: Can initiate tasks based on triggers or schedules, not just react to user commands.
- Memory and Context Retention: Maintains context over long conversations and multiple interactions to provide coherent assistance.
Use Cases
Virtual Agents are widely used in sectors requiring process automation. In e-commerce, they manage order inquiries and returns. In IT support, they resolve technical tickets by performing diagnostics and system actions. For sales and marketing, they can qualify leads by enriching data and updating CRM records automatically.
How to Choose
When selecting a Virtual Agent tool, evaluate its integration capabilities with your existing tech stack (e.g., Salesforce, Zendesk). Assess the complexity of tasks it can handle and the level of customization available for its logic and actions. Also, consider the security measures for handling sensitive data and the scalability of the platform to support your operational volume.
Virtual AgentsUse Cases
Automate E-commerce Order Management
An e-commerce operations manager uses a Virtual Agent to handle customer inquiries about order status, returns, and exchanges. The agent integrates directly with Shopify and FedEx APIs. When a customer asks, "Where is my order?", the agent retrieves the tracking number from Shopify, gets the latest status from FedEx, and provides a real-time update. For a return request, it verifies the purchase date, generates a shipping label, and initiates the refund process in the backend system, reducing manual workload by over 70%.
Resolve IT Helpdesk Tickets Autonomously
An IT support team deploys a Virtual Agent to handle common helpdesk requests. When an employee submits a ticket for a password reset, the agent initiates a multi-factor authentication process via SMS to verify the user's identity. Upon successful verification, it connects to the company's Active Directory, performs the password reset, and sends a temporary password to the user. The agent then updates the ticket status to 'Resolved' in Jira or ServiceNow, freeing up IT staff to focus on more complex issues.
Proactively Qualify and Route Sales Leads
A sales operations team uses a Virtual Agent to automate lead qualification. When a new lead enters the system from a web form, the agent uses an API to enrich the lead's data with company size and industry from a service like Clearbit. It then scores the lead based on predefined criteria (e.g., company size > 500, industry = 'SaaS'). High-scoring leads are automatically assigned to senior sales reps in Salesforce and a meeting is proposed via email. This ensures high-value leads are actioned immediately, 24/7.
Automate Monthly Financial Reporting
A financial analyst configures a Virtual Agent to automate the creation of monthly performance reports. On the first business day of each month, the agent is triggered to log into the company's accounting software (e.g., QuickBooks), export sales and expense data for the previous month, and populate a predefined Google Sheets template. It then calculates key metrics like gross margin and net profit, generates a PDF summary, and emails it to a list of stakeholders. This process eliminates hours of repetitive manual data collection and compilation.
Manage Personal Productivity and Scheduling
A busy executive uses a personal Virtual Agent to manage their calendar. They can ask in natural language, "Find a 30-minute slot for me and Sarah next week for a project sync." The agent accesses both individuals' calendars via API, identifies mutually available times, and proposes them to the user. Once a time is confirmed, the agent creates the calendar event, adds a video conferencing link, and sends invitations to all attendees. It can also summarize unread emails from key contacts at the start of the day.
Automate Content Research and Drafting
A content marketing team uses a Virtual Agent to streamline its content creation workflow. A marketer provides a topic, such as "Benefits of AI in Marketing." The agent then performs a series of actions: it searches the web for top-ranking articles, extracts key points and statistics, and generates a structured outline in a Google Doc. It can also be instructed to find royalty-free images related to the topic and add them to a shared folder. This automates the initial research phase, allowing writers to focus on creating high-quality, original content.