One roadmap tied to delivery cost, team capacity, margin, and quality priorities
Enterprise AI adoption for agencies
Your team has AI tools.
Now turn them into operating leverage.
A six-month enterprise engagement for mainly seven-figure and larger PR + marketing agencies that combines assessment, priority system builds, team enablement, and embedded adoption around measurable operating gains.
Start the intake conversationIn one sentence
AI Adoption Engagement is Agency Owner Lab's enterprise option: a six-month program, designed mainly for seven-figure and larger PR and marketing agencies, that improves delivery cost, capacity, consistency, onboarding, and adoption across multiple workflows.
The operating constraint
Enterprise adoption fails between the tool and the team.
Different departments are experimenting without one operating architecture
The agency has licenses but inconsistent use
No one owns the transition after go-live
Senior judgment, data access, approvals, and team habits were not designed into the rollout
The outcome
Lower operating drag across teams—not isolated AI wins.
The goal is an operating result the agency can use and own—not a recommendation that creates another implementation project for the founder.
Four to six priority workflows built and tested against real agency work
Documented roles and review points that support consistent execution and faster onboarding
Three months of embedded support so adoption survives real client work
Investment + format
High five figuresSix monthsFinal scope follows the operating problem, the number of users and workflows, implementation complexity, and the conversion path described on this page.
What is included.
Full operational assessment and AI Adoption Roadmap
Custom AI system architecture
Four to six priority workflow implementations
Team onboarding, training, SOPs, and documentation
Adoption plan, ownership structure, and handoff
Usage, friction, ownership, and handoff reviews
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.
Assess
Audit tools, workflows, readiness, risk, team habits, and highest-leverage operating opportunities.
Roadmap
Align leadership on architecture, sequence, owners, success measures, and what should not be built.
Implement
Build and test priority systems against representative agency work.
Adopt
Embed with the team, resolve live friction, monitor ownership, and complete a structured handoff.
Optional adoption layer
Add-on onlyEmbedded Fractional Operations Support
From $3,000/monthTypically 2–3 monthsAn 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.
Mainly a seven-figure or larger PR or marketing agency with multiple teams or workflows
Leadership wants organization-wide operating leverage rather than isolated AI pilots
The agency can commit time from leaders and users during assessment and adoption
You need one clearly defined workflow built
You want a short training workshop without operating change
Leadership is not prepared to assign internal owners or involve the team
Fit + scope
Enterprise scope starts with intake and fit.
The first conversation confirms readiness, team scope, likely workflows, timing, and whether a six-month adoption engagement is the right structure before pricing is finalized.
AI Adoption, answered
The questions behind this decision.
Direct answers about AI Adoption Engagement, fit, format, pricing, and what Agency Owner Lab actually delivers.
It is the coordinated change from scattered AI tool use to shared, documented systems across multiple agency workflows. It includes operating assessment, architecture, implementation, training, adoption support, and ownership.
The timeline covers assessment, build, and the period when systems meet real team behavior. Shorter implementations often stop before adoption friction becomes visible.
The engagement is a high five-figure investment. Exact pricing follows an intake and fit conversation because workflow count, integrations, team size, risk, and implementation complexity vary.
Yes. Embedded Fractional Operations Support is available as a separately scoped add-on when the team needs live office hours, async support, usage monitoring, and a longer adoption handoff.
Yes. The goal is internal ownership. Your agency retains its workflow architecture, documentation, custom instructions, and operating knowledge, subject to third-party tool licenses.
Results may not be typical. Individual results vary, and specific outcomes cannot be guaranteed.