Console automates IT support requests within Slack using AI trained on an organization's knowledge base and policies, deflecting common inquiries like access requests and password resets. For complex issues, the system seamlessly routes requests to human agents in existing help desk platforms.
Funding
Funding not disclosed
Founders
Product
Problem
IT support teams are often overwhelmed by repetitive requests, such as password resets and access provisioning, which consume valuable time and resources. Employees face delays in resolving these common issues, leading to frustration and decreased productivity. Existing help desk systems often lack the automation capabilities to efficiently handle routine inquiries.
Solution
Console provides an AI-powered automation platform that resolves IT support requests directly within Slack. By connecting to an organization's existing IT systems and knowledge base, Console's agentic AI autonomously addresses common inquiries, freeing up human agents to focus on complex issues. The platform uses natural language processing and a real-time IT graph to understand organizational context and execute multi-step workflows. Console continuously learns from interactions, identifies resolution gaps, and recommends new knowledge to improve automation rates.
Target Audience
Console is designed for IT teams seeking to automate routine support requests, improve service delivery, and reduce the burden on human agents.
Features
- AI-powered agent that automates IT support requests within Slack
- Integration with ITSM, MDM, knowledge base, and IAM systems
- Natural language playbooks for automating complex, multi-step workflows
- Real-time IT graph that models employees, devices, apps, and permissions
- Continuous improvement through AI-driven identification of resolution gaps and knowledge recommendations
- Automated access governance with multi-step approvals and provisioning flows
- SOC 2 Type II compliance, end-to-end encryption, and RBAC implementation
- Detailed audit logs for compliance reporting