Deploy AI Workers that own workflows end-to-end. Scale operations without scaling headcount.
Chat-based AI assistants help with single tasks, but they don't own workflows. Humans still coordinate across tools, gather context, and execute every step manually.
Organizations need digital colleagues that can actually move work forward — from trigger to completion.
Without workflow autonomy, teams remain trapped in manual coordination
AI assistants only answer questions — they can't own a workflow from trigger to completion
Humans still coordinate across tools, gather context, and execute every step manually
Growth requires linear headcount increases — no path to leverage AI for operational scale
Teams spend hours on manual tasks that could be automated, leading to burnout and attrition
Designed to own complete workflows in your most critical functions — from support to sales to operations
Transform support operations by automating tier-1 resolutions while escalating complex cases with full context.
Auto-triage and route incoming tickets to appropriate queues
Resolve routine tier-1 issues using runbooks, FAQs, and knowledge base
Draft detailed responses and knowledge articles for human review
Escalate complex cases with clean summaries and recommended next steps
Amplify sales productivity by automating CRM maintenance, account research, and outreach preparation.
Maintain CRM hygiene — auto-update records based on email, calendar, and activity
Generate concise account briefs before customer meetings
Draft personalized outreach and follow-ups based on recent interactions
Flag at-risk deals and surface accounts requiring attention
Eliminate manual report compilation and free finance teams to focus on analysis and strategic planning.
Assemble recurring reports from approved data sources automatically
Surface anomalies, policy breaches, and exceptions for human review
Draft narratives and commentary for month-end financial packs
Monitor compliance and flag issues before they become problems
How we're building AI Workers to go beyond chat — autonomous workflow execution with built-in governance
Job-specific AI Workers come ready with domain knowledge and best practices for Support, Sales, Operations, Research, and more.
Pre-trained on common workflows and industry patterns
Customizable to your specific processes and tools
Plug into existing systems via MCP integrations
Workers monitor triggers, gather context, execute permitted actions, and deliver completed tasks — not just answer questions.
Event-driven triggers and scheduled workflows
Multi-step task orchestration across tools
Handoff protocols for seamless human collaboration
Every AI Worker operates within strict, auditable boundaries — what data it accesses, what actions it can take, when to escalate.
Data access scoped to role and department
Action whitelists with approval workflows
Automatic escalation for edge cases and high-risk actions
Workers know when to stop and ask for help. Ambiguous, high-stakes, or novel situations trigger human review automatically.
Confidence thresholds trigger escalation
Approval queues for sensitive operations
Full audit trail of decisions and actions
Our target deployment path following initial platform release
Currently in early-access phase — we're partnering with select enterprises to co-design autonomous AI Workers for their specific workflows before general release.
Choose a pre-built AI Worker for your target function. Connect to required tools and data sources.
Set what the worker can do autonomously vs. what needs approval. Establish escalation rules and thresholds.
Deploy to one workflow or team. Monitor closely, gather feedback, refine policies before broader rollout.
Apply learnings to additional workflows and teams. Measure impact and continuously optimize performance.
Goals we aim to help enterprises achieve with autonomous AI Workers
Goal: Handle 2-3x volume growth without proportional hiring increases
Consistent coverage and quality — no vacation, no sick days, no shift gaps
Target: Free teams to spend more time on strategy, relationships, and complex problem-solving
Track tickets resolved, deals progressed, reports generated — clear productivity metrics
Impact targets based on deployment goals and initial pilot feedback. Actual results will vary by organization, workflow complexity, and implementation approach.