Platform
Not a prompt interface. A managed workforce
The question isn't whether AI can do the work. It's whether the system around it is built for enterprise operations
The Employee Layer
Six things that separate an AI employee from a chatbot
Identity
A name, a role, a communication style, and real accounts it sends from.
Memory
Context retained across every conversation, task, and month of work.
Tool access
Connected to your email, CRM, docs, and internal systems.
Recurring schedules
Runs defined tasks at defined times without being triggered.
Monitoring loops
Watches for signals (anomalies, emails, changes) and acts on them.
Escalation logic
Knows what to do alone and what needs a human decision.
Managed Deployment
We run the infrastructure. You run the business
Accounts provisioned with your email domain and branding
Integrations configured to your existing tools and systems
Performance monitored with weekly output reviews
Workflows tuned based on observed results and edge cases
Dedicated account manager for ongoing support
Continuous Improvement
Better output every week
Every AI employee improves over time. Workflows are refined based on observed output quality. Playbooks are updated as edge cases surface. The longer an employee works with your team, the better its results become.
This is not a static deployment. Your account manager reviews performance weekly and recommends adjustments. When something can be done faster or more accurately, we update the configuration. You approve every change before it goes live.
Visibility & Control
Full transparency on everything your employees do
Searchable work history across all employees and tasks
Approval flows for sensitive or high-stakes actions
Granular permission levels per employee and per system
Human oversight enforced on defined action types
Works With Your Stack
No rip-and-replace
Gmail, Outlook
CRM
Salesforce, HubSpot
Docs
Google Drive, Notion
Communication
Slack
Finance
QuickBooks, Xero
Custom
Integrations via API