Console closed a $23 million Series A in August 2025, led by DST Global and Thrive Capital, with a post-money valuation estimated between $140 million and $175 million. This marks a substantial increase from the company's earlier funding rounds.

In June 2025, the company raised a $6.2 million seed round, also led by Thrive Capital.

To date, Console has raised approximately $29 million across these two disclosed rounds.

Console is an AI platform that automates IT support requests within Slack, removing the need for traditional help desk portals or manual ticket processing. Employees can message Console in natural language with requests such as password resets, software access approvals, or device troubleshooting.

The platform uses natural-language Playbooks, which IT teams configure to define company policies and multi-step workflows. These Playbooks enable AI agents to execute tasks automatically by calling APIs across connected systems, including Okta, Jamf, Jira, and Zendesk, without requiring scripting or technical setup.

Console maintains an IT Graph that continuously synchronizes employee data, device information, application permissions, and organizational policies from identity management, mobile device management, and ticketing systems. This unified context model allows the AI to identify who is making requests, the device being used, and the applicable policies.

For requests that cannot be fully automated, Console generates tickets in existing help desk systems while keeping Slack threads and ticket comments synchronized. This ensures IT teams retain context when manual intervention is necessary.

The platform also includes knowledge management features, indexing documentation from Confluence, Notion, and Google Drive to deliver instant answers with source citations. Analytics dashboards monitor deflection rates, measure time savings, and identify new automation opportunities based on patterns in unresolved requests.

Console operates as a B2B SaaS platform with subscription pricing tied to employee count rather than IT team size. This structure aligns revenue with the scale of automation value delivered across the organization.

The platform integrates with existing IT infrastructure instead of replacing it, functioning as an orchestration layer that connects identity systems, device management tools, and help desk platforms. This reduces implementation friction and enables customers to retain their existing tool investments.

Console's go-to-market strategy emphasizes immediate ROI through automation metrics. Customers report 40-70% deflection of tier-1 support tickets, along with measurable improvements in response times and customer satisfaction scores.

The business model supports consumption-driven expansion as organizations automate additional workflows and extend Console to departments beyond IT. Common expansion areas include HR, finance, and legal support functions that manage similar repetitive employee requests.

Revenue scales efficiently because the core AI platform accommodates increasing request volumes without proportional growth in operational costs. The model fosters long-term customer relationships as automated workflows become integral to daily operations.

ServiceNow's $2.85 billion acquisition of Moveworks represents a competitive threat by combining enterprise service management infrastructure with conversational AI capabilities. This integration enables ServiceNow to incorporate AI-powered automation into existing customer contracts, exerting pricing pressure on standalone solutions.

Atlassian has incorporated chat-based ticketing functionality into Jira Service Management, using existing customer relationships to offer basic Slack integration without requiring additional vendor partnerships. Okta has similarly integrated atSpoke's identity-focused automation capabilities into its governance platform.

Aisera competes as an enterprise-focused provider with broader omnichannel support and reported auto-resolution rates of 65-80%. The company targets Global 2000 customers with higher price points but offers less specialized Slack integration compared to Console.

Forethought and other conversational AI platforms focus on workflow automation capabilities, though most retain traditional help desk interfaces rather than adopting Console's Slack-first approach. These platforms often require more technical implementation and lack Console's natural-language Playbook configuration.

Slack's rollout of native AI agent capabilities through Agentforce introduces significant risk for Slack-based automation vendors. As Slack integrates more intelligent automation directly into its platform, third-party solutions may face diminished differentiation and reduced customer willingness to pay for separate tools.

Console's natural-language automation platform extends beyond IT to HR, finance, and legal departments that manage repetitive employee requests. HR teams handle benefits inquiries, time-off approvals, and policy questions, all of which follow predictable workflows suitable for automation.

Finance departments oversee expense reimbursements, purchase approvals, and vendor onboarding processes that align with Console's orchestration capabilities. Legal teams manage NDA reviews, contract requests, and compliance questions, which often adhere to standardized procedures.

This expansion could increase Console's addressable market by up to three times. Enterprise service management across all business functions represents a $30+ billion opportunity, compared to the $14.4 billion core IT service management market.

Console's current customer base primarily consists of technology companies with 100-2,000 employees, leaving substantial opportunity in larger enterprises that allocate $10-50 million annually to internal IT support. These organizations process thousands of support tickets each month at $15-30 per ticket, creating a measurable ROI for automation solutions.

Global 2000 enterprises offer higher contract values and longer sales cycles but provide more stable revenue streams and expansion potential. These organizations also have complex approval workflows and compliance requirements, which align with Console's flexible Playbook approach compared to rigid automation tools.

International expansion requires multilingual AI models and adherence to regional data privacy regulations but opens access to markets where Slack adoption is increasing. Console could also expand beyond Slack to Microsoft Teams and Google Chat, significantly increasing its addressable user base. Teams has 320 million monthly active users compared to Slack's 53 million.

Managed service providers present another growth avenue. MSPs could white-label Console's automation capabilities to reduce labor costs while maintaining service quality for outsourced IT support contracts.

Platform dependence: Console's integration with Slack creates exposure to potential risks from platform changes, pricing adjustments, or the introduction of competitive features by Slack. The development of Slack's native AI capabilities through Agentforce could reduce Console's differentiation and impact customers' willingness to pay for third-party automation tools.

Enterprise sales complexity: Selling to larger enterprise customers involves navigating procurement processes, security reviews, and integration requirements, which may slow growth and increase customer acquisition costs. Legacy systems and compliance requirements in enterprise IT environments further complicate Console's integration efforts.

AI commoditization: The increasing accessibility of large language models and improvements in workflow automation across the industry may diminish Console's AI differentiation. Competitors with stronger enterprise relationships or broader platform capabilities could replicate Console's automation features and incorporate them into existing contracts at lower marginal costs.