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The Nerode AI Readiness Practice
A method, a delivery kit, and agreed analysis support to help you turn client AI questions into a bounded, white-label service.
What you are building
You bring the client context and relationship. Nerode supplies the assessment structure, evidence discipline, and report workflow. Together, we turn a broad AI conversation into specific, reviewable recommendations.
Designed for U.S. MSPs serving SMBs, particularly owner-led teams of roughly 5–50 people. Fit depends on your client mix and delivery needs.
These are the working elements of the Practice. The engagement proposal confirms your branding, support, scope, and usage terms.
/01
Structured intake, six-domain questions, evidence register, use-case prioritization, and pilot prerequisites.
/02
A white-label report structure and 90-day roadmap with findings, owners, missing evidence, and decision points.
/03
Interview and review guidance, launch materials, and agreed first-client analysis support behind your brand.
Clear responsibilities
MSP
Secure authorization, lead intake, collect the agreed evidence, review the analysis, and present the findings.
NERODE
Maintain the method and assets, provide agreed analysis support, and make the evidence and recommendation logic explicit.
CLIENT
Set the objective, name the sponsor, verify the context, and approve or defer any next step.
A bounded starting point
The founding Practice is structured as a one-time engagement. Later assessment support is scoped separately. No subscription is required at launch.
We confirm the client environment, workflows, evidence, branding, support needs, and commercial terms before a paid engagement. Larger or more complex environments require separate scope review.
Implementation, production-system changes, and ongoing application management are outside the initial advisory offer.
Tell us about your first opportunity ↗
Tell us about your MSP and an AI question your clients are asking.
Discuss your first assessment ↗
Clear thinking. Practical AI readiness. Built for the MSP–client relationship.
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