Custom AI systems for agency workflows

You know where time, cost, or consistency needs to improve.
We build it around the real work.

A focused implementation project for agencies that have named the workflow and need someone to test, architect, configure, document, and launch the right system.

Discuss your system
In one sentence

AI Systems Setup is a scoped implementation service that turns one clearly defined agency workflow into a tested, documented, team-ready AI system using the tools and infrastructure that best fit the operation.

The operating constraint

A clear use case can still fail in the build.

The team has no time to compare tools against real client volume
A demo works, but the live workflow has approvals, exceptions, and judgment
The system has no clear internal owner
Documentation is written for technical users instead of the account team
The outcome

A working system that saves time and standardizes delivery.

The goal is an operating result the agency can use and own—not a recommendation that creates another implementation project for the founder.

01

Less manual effort and rework inside the defined workflow

02

More consistent output with human review where judgment matters

03

Plain-language SOPs, roles, controls, and ownership

04

A repeatable process current team members and new hires can follow

Investment + format
Priced by scopeFlat project fee

Final scope follows the operating problem, the number of users and workflows, implementation complexity, and the conversion path described on this page.

What is included.

Workflow architecture and requirements definition
Tool evaluation against the use case
Configuration, integrations, custom instructions, or agent setup
Testing against real examples and edge cases
SOPs, roles, review points, and team handoff
Launch training and implementation readout
How it works

A defined path from context to ownership.

The structure changes by offer. The operating principle does not: understand the real constraint, make the decision explicit, and leave the agency able to carry the result.

01

Scope

Define the workflow boundary, desired output, human judgment points, and success criteria.

02

Prototype

Test the likely tools and architecture against representative agency work.

03

Build

Configure the production workflow, integrations, instructions, and controls.

04

Handoff

Document ownership, train the users, and decide whether embedded adoption support is needed.

Optional adoption layer
Add-on only

Embedded Fractional Operations Support

From $3,000/monthTypically 2–3 months

An optional adoption layer added after AI Systems Setup, a specialized Build, or as part of AI Adoption. An Agency Owner Lab operator stays close to the team while the new workflow meets real client work, resolves edge cases, and becomes normal operating behavior.

Weekly team office hours during the highest-friction adoption window
Async support in the channel your team already uses
Leadership check-ins on usage, ownership, and workflow friction
A structured taper and handoff as the internal team becomes self-sufficient

This support cannot be purchased as a standalone service.

Strong fit

One workflow and desired outcome are already clear

The agency wants implementation rather than more strategy

The team can provide examples, access, and a process owner

Not the structure

The root operating problem is still unclear

The work actually spans four or more connected workflows

You want a one-click automation without testing, documentation, or team input

Fit + scope

Start with a fit and scope conversation.

Bring the workflow, the people who use it, and the outcome you need. Agency Owner Lab will confirm whether a focused setup is the right structure and price the actual scope.

Systems Setup, answered

The questions behind this decision.

Direct answers about AI Systems Setup, fit, format, pricing, and what Agency Owner Lab actually delivers.

Common use cases include research, reporting, content and pitch development, client updates, knowledge retrieval, onboarding, quality control, and connected delivery workflows. The final architecture follows the process rather than a predetermined tool.

Not when the workflow, users, input, output, and operating problem are already clear. If they are not, the Diagnostic prevents a premature build.

It is priced as a flat project fee after a fit and scope conversation. Complexity depends on tools, integrations, data, testing, user roles, and the number of workflow branches.

Yes. Embedded Fractional Operations Support is an optional add-on for systems that need team office hours, async troubleshooting, usage monitoring, and a structured adoption handoff.

Your agency owns the workflow, documentation, custom instructions, and operating knowledge built for the project, subject to the licenses of any third-party tools you choose to use.

Results may not be typical. Individual results vary, and specific outcomes cannot be guaranteed.