Identity & communication
05- Dedicated email
- Approved phone
- Text messaging
- Role
- Working style

The managed digital workforce
Prairie Labs builds, deploys, and manages AI employees that use approved systems, learn how your business works, and complete defined work—with people in control.
An AI employee is a managed software worker that can communicate, use software, remember permitted context, and complete approved work on a schedule or in response to a request. Its role, access, approvals, and escalation path are defined before it starts.

Governance perimeter
Build · deploy · manage
We do not hand you an AI tool and leave your team to keep it running. Prairie Labs maps the work, establishes the operating environment, and manages the system behind it.
We identify responsibilities, map source material and workflows, define success and failure conditions, and shape the role around your standards.
We connect approved systems, configure identity and channels, set permissions, test real workflows, and establish clear approval and escalation points.
We monitor the environment, maintain automations, handle failures, update knowledge, review access, and improve workflows under human direction.
ROI · Jobs an AI employee takes on
50 recurring jobs a Prairie Labs AI employee can take on, priced at what they cost done by hand: minutes per run × times per month × $25/hour. That is a plain wage, not a fully loaded cost—payroll tax, benefits, and overhead typically add 25–40%—and it leaves out cash collected sooner, deals closed, and no-shows recovered. A menu, not a bill.
40× a month · 3 steps · Sales
Weekly · 6 steps · Finance & Accounting
Every weekday · 3 steps · Finance & Accounting
Every weekday · 3 steps · Marketing
Every weekday · 3 steps · Operations
300× a month · 4 steps · Customer Support
Every weekday · 4 steps · Operations
Every weekday · 4 steps · Operations
180× a month · 4 steps · Sales
Every weekday · 5 steps · Finance & Accounting
Every weekday · 5 steps · Human Resources
25× a month · 4 steps · Operations
40× a month · 5 steps · Sales
250× a month · 4 steps · Customer Support
50× a month · 5 steps · Sales
Every weekday · 5 steps · Marketing
Weekly · 5 steps · Sales
Twice a week · 4 steps · Sales
Every weekday · 4 steps · Human Resources
Weekly · 4 steps · Operations
130× a month · 3 steps · Customer Support
Weekly · 5 steps · Marketing
12× a month · 5 steps · Human Resources
30× a month · 4 steps · Operations
Every weekday · 5 steps · Finance & Accounting
40× a month · 4 steps · Operations
Weekly · 4 steps · Customer Support
Weekly · 5 steps · Finance & Accounting
Weekly · 6 steps · Marketing
100× a month · 4 steps · Customer Support
60× a month · 5 steps · Customer Support
Weekly · 5 steps · Finance & Accounting
Every weekday · 5 steps · Sales
Twice a week · 4 steps · Operations
Every weekday · 5 steps · IT & Security
10× a month · 5 steps · Sales
Weekly · 5 steps · Finance & Accounting
Weekly · 5 steps · Finance & Accounting
Twice a month · 6 steps · Human Resources
25× a month · 5 steps · Marketing
Twice a week · 4 steps · Customer Support
Weekly · 5 steps · Marketing
12× a month · 5 steps · Operations
Monthly · 4 steps · IT & Security
Weekly · 4 steps · Engineering
Monthly · 5 steps · Finance & Accounting
Twice a week · 4 steps · IT & Security
Twice a week · 5 steps · Marketing
Twice a month · 5 steps · IT & Security
Weekly · 5 steps · IT & Security
Four ways to deploy
Four products designed around how your people, teams, and company actually work—whether you need one dedicated AI employee, shared team support, multiple AI employees, or a platform built for your business.
A digital worker shaped around one person's recurring responsibilities and approved tools.
See the model →One shared role with team-level requests, source-of-truth knowledge, and clear instruction rights.
See the model →Multiple coordinated AI employees with role-specific access and a governed company brain.
See the model →A customer-branded foundation for organizations delivering managed AI employee services.
Discuss fit →Education and enablement
Training is built around real responsibilities: how to delegate, review, approve, correct, and measure AI-assisted work without turning adoption into more busywork.
Explore educationOwners learn to identify high-value repeatable work and assign human ownership.
Teams establish source documents, request rights, review rules, and handoff habits.
Leaders classify data, permissions, evidence, incidents, and deployment requirements.
Everyone measures value through quality, throughput, time, or business impact—not novelty.
Governance, privacy, human control
Prairie Labs AI employees are given only the access they need to do approved work. Your data stays private, important actions are logged, and people remain in control of permissions, approvals, and shutdowns.
01
Access follows the role.
02
People define limits and approvals.
03
Important actions leave records.
04
Routine work runs inside set rules.
05
Access and schedules can be paused.
Managed cloud
Maintained by Prairie Labs for businesses that want a managed deployment and do not require all processing to remain on their premises.
On premises
Available when workloads require tighter local control. We map every model, integration, log, backup, and support path before making any data-residency commitment.
Work in the field

Homies
California's first life-sharing program.
“We are a small team doing a lot, and the admin was eating us alive like intake forms, scheduling, billing, the same questions answered fifty times a week. Jake gave us an AI employee that took all of it. The paperwork that used to cost us entire days now runs on its own.”
Garrett AckermanCEO, Homies
After hours
Every job that lands after close still gets answered, quoted, booked and followed up. The morning starts with the work already done.