The AI assistant lets employees interact with organizational knowledge, workflows, and enterprise systems through natural language.
It provides a conversational interface where they can:
- Ask questions
- Retrieve information
- Complete tasks
- Start workflows
The AI assistant uses multi-agent orchestration. A primary agent coordinates specialist agents and connected tools to complete complex tasks.
Employees can submit a single request. The system then:
- Retrieves information
- Performs required actions
- Combines results into a single response
The assistant works across multiple channels, including:
- Web applications
- Mobile apps
- Collaboration tools such as Microsoft Teams
How the AI assistant works
The AI assistant processes each message using a structured workflow.
When an employee sends a message:
- The system creates or resumes a conversation.
- The assistant interprets the user’s intent.
- The system retrieves relevant knowledge or identifies required tools and systems.
- Specialist agents or integrations perform any required actions.
- The assistant returns a response.
Responses stream in real time as the assistant generates them.
Use cases
Get answers from organizational knowledge
Problem
Employees need accurate answers to questions about company policies, procedures, or internal guidance. Finding this information manually can take time and may lead to inconsistent results.
Solution
The assistant retrieves relevant content from approved organizational sources and generates a grounded response.
Complete tasks across systems and workflows
Problem
Employees need to perform tasks such as updating records, retrieving data, or starting workflows. These tasks often require navigating multiple systems or submitting separate requests.
Solution
The assistant performs actions across connected systems and workflows from a single conversation.