
Recurring revenue business models
Predictable revenue streams where efficiency, consistency, and scale directly impact margins.

Established sales teams
Typically 5+ sellers where capacity, coaching, and consistency matter—and manual work slows growth.

Leadership-led transformation
Owners and executives who want AI driven from the top—not scattered experiments across the org.

Professional & Managed Services
Accounting, legal, payroll, IT MSPs, and HR firms where consistency, margins, and knowledge work are challenges.
ChiefAI works with B2B companies that have recurring revenue, an established sales team, and operational complexity. Our best-fit clients run people-heavy, process-driven operations where growth has historically required adding headcount.
No. These industries are where we most often see fast, measurable results from AI, but many B2B companies with recurring revenue and repeatable workflows are a strong fit even if they are not listed.
B2B businesses typically have complex sales motions, delivery requirements, and internal workflows, which creates clear opportunities for AI strategy and implementation to improve capacity, consistency, and margins.
Usually not. ChiefAI is most effective when a company has traction, at least five revenue-generating roles, and leadership ready to drive AI adoption across teams.
They want a clear owner and roadmap for AI, they have teams already experimenting with AI tools, they want more structure and governance, and they need measurable ROI tied to business outcomes.
The principles are consistent, but the use cases vary. Staffing firms focus on recruiter and sales capacity, professional services focus on delivery consistency and margin protection, tech-enabled services focus on process efficiency, and SaaS companies focus on revenue operations and customer lifecycle management.
Yes. While our advisory framework is consistent, the workflows, metrics, and priorities are tailored to each industry. That’s why we maintain industry-specific pages and adapt our recommendations based on how work actually gets done.
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If you know you should be doing something with AI but don’t know where to start, we should talk.





