Outcome · Output Per Person
Scale Execution
More output from the team you already have.
Which repeatable work is capping output, and what should never touch a person again?
How the work runs
Manual Work → Automation → Output Per Person. One AI project manager holds the context, runs the agents, and connects to the stack you already use. A human stays in control of what ships.
- Document the work before you automate it
- Automate the repeatable steps first
- Keep humans on judgment and relationships
- Measure output per person, not activity
What your AI project manager runs
- Documentation
- Automation
- Reporting
- Coordination
- Operating Cadence
Measured on one number: Output Per Person.
Where this sits
- The Revenue Trilogy · FULL GO-TO-MARKET SYSTEM
- The Managed AI Marketing and Sales Team · MANAGED GROWTH
Three ways to work: Teardown (free), Install, Run. See pricing or read the methodology.
Frequently asked questions
When the strategy is proven and the constraint is throughput. Scaling execution before the strategy is proven multiplies waste.
Automate the repeatable, hire for the judgment. If a workflow runs the same way every time and has clear inputs and outputs, automate it. If it requires reading context and making a call, hire.
By running the repeatable workflows across your stack and freeing your team for the judgment work. Follow-up sequences, reporting, content ops, lead qualification: the AI PM handles the volume with a human review layer.
Adding capacity before fixing the constraint. Hiring a second SDR when the first SDR’s sequences are broken doubles the volume of bad outreach.
Three tests. Can you onboard a new client in under 2 weeks without pulling senior time. Can you answer "what did the team do for this client last week" in under 5 minutes. Does your team have visible slack, not just claimed slack.