ViBe://AUTOMATE
AI employees that handle the repetitive work.
Your team handles hundreds of tasks that follow the same pattern every time — receive input, apply rules, update a system, notify someone. An AI employee does that work reliably, at any volume, without a queue.
What they handle
Triggered, rules-based, high-volume work.
AI employees are purpose-built for work that has a clear trigger, predictable inputs, and a known output. They connect to your existing systems, process information, take action, and escalate anything that falls outside normal parameters.
- Receive a trigger (new record, inbound email, scheduled time, form submission)
- Read and classify the input from connected systems
- Execute the defined action — update a record, draft a message, generate a document
- Flag exceptions and route them to the right human for review
- Log every action with a timestamp and audit trail
What they don't replace
Judgment stays with your team.
AI employees are not autonomous decision-makers. They handle the volume so your team can focus on the work that actually requires human judgment.
- Strategic decisions and relationship-sensitive communications
- Pricing exceptions, contract terms, and client-specific accommodations
- Escalation resolution and policy exceptions
- Creative direction, brand voice, and nuanced messaging
- Final approval on anything that leaves the business
Human in the loop
Approval is built into every workflow.
01
Define approval points
During setup, you specify exactly which actions require human sign-off before execution.
02
AI prepares, human decides
For approval-gated actions, the AI does the research, drafts the output, and presents it for review. One click to approve.
03
Exceptions escalate automatically
Anything outside normal parameters gets flagged, paused, and routed to the right person before any action is taken.
System integrations
Connects to the tools your team already uses.
AI employees read from and write to your existing stack. No rip-and-replace required.
Available roles
Eight AI employees ready to build.
Capacity estimates are illustrative averages based on typical team configurations. Actual results depend on workflow volume, system complexity, and approval cadence.
Get started
Find out how much capacity your team can recover.
The labor savings audit maps your current repetitive workflows to available AI employees and produces an illustrative capacity recovery estimate in one session.