AI workers for workflows you cannot automate blindly.
We help operations, finance, support, and IT teams turn one risky, exception-heavy workflow into a controlled AI worker with scoped identity, approval gates, short-lived access, workflow memory, and a complete execution ledger.
When an invoice arrives, check vendor status, PO match, and amount. If above $500, pause for finance approval before updating the ERP.
The missing layer between automation and autonomy.
Simple automation tools break when workflows require context, judgment, policy checks, and human approval. Generic AI agents are flexible, but often too open-ended for real operations.
Start controlled. Earn autonomy over time.
Your first worker does not need full autonomy. It can start by drafting, then move step by step toward safe execution as your team builds trust.
Select one workflow
Choose a workflow that is painful, repetitive, and too risky or contextual for simple automation.
Map the rules
We extract SOPs, business rules, tools, thresholds, approval gates, and exception paths.
Build the worker
A Workflow Supervisor designs the worker. A Secure Worker Runtime executes bounded steps safely.
Run with control
The worker pauses before risky actions and gives humans clear approve, reject, or adjust options.
Audit and improve
Every decision is logged. Repeated patterns become reusable templates in the workflow vault.
Every worker runs inside a Trust Boundary.
The worker does not get broad access to your company. It receives a scoped identity, approved tools, action-level permissions, short-lived access, approval gates, and a complete audit trail.
Built for workflows where trust matters.
We are looking for early adopters with real workflows that are painful to keep manual, but too sensitive to hand over to an open-ended agent.
Invoice exception approval
Check invoice details, PO match, vendor status, and approval thresholds before routing or updating finance systems.
Internal IT requests
Classify requests, verify policy, draft actions, and pause before access changes or production-impacting steps.
Support escalation
Summarize tickets, detect urgency, check SLA, draft a response, and escalate low-confidence or high-risk cases.
Not a generic company brain. A scoped Workflow Brain.
Each worker uses only the context it needs for its workflow: SOPs, policies, approval rules, exception history, and past decisions. It does not freely search all company data.
What makes the worker safe enough for real work?
The product is designed around controlled execution, not open-ended autonomy.
No anonymous or shared-agent activity.
Keeps humans in control during early adoption.
Prevents unrelated or unsafe actions.
Limits blast radius and supports auditability.
Creates accountability and evidence.
Lets trust grow based on evidence.
Is this a fit for your team?
The best first workflow has real pain, repeated volume, clear business rules, and meaningful risk if automated poorly.
Good early-adopter fit
- Manual workflow with recurring exceptions.
- Requires judgment, policy checks, or approvals.
- Touches systems such as email, tickets, finance, CRM, ERP, Slack, or Jira.
- Has measurable pain: delays, errors, SLA misses, review bottlenecks, or repetitive admin work.
Probably not the right first use case
- Fully deterministic workflow that Zapier, Make, n8n, or RPA already handles well.
- Open-ended personal assistant tasks without a defined business outcome.
- High-risk production actions where no human approval model exists yet.
- Workflows with no owner, no process, and no measurable success metric.
Have a workflow stuck between manual work and risky automation?
We are selecting a small number of early design partners to help shape the first controlled AI workers. Bring one workflow. We will help map it, simulate it, and define a safe pilot.
Early adopter fit
Best fit: operations, finance, IT, support, or product teams with a workflow that has exceptions, approvals, and measurable pain.
Apply for early access