More capacity. Less coordination overhead.
Most organizations respond to delivery pressure by adding people or buying more tools. Foreman takes a different position: help identify and recover capacity you already pay for by reducing the coordination cost that sits between intent and shipped work.
Before you assume you have a capacity problem, measure how much existing capacity is being lost to coordination — a cost that grows as you add AI.
Every new agent, contractor, and tool adds capacity on paper and coordination cost in practice. Foreman closes that gap so more of what you already pay for turns into shipped, validated work.
The tax you're already paying.
None of these show up as a line item. Together they are often a major drain on engineering throughput.
What organizations get back.
Increase delivery capacity
Move more validated work through the organization without increasing complexity at the same rate.
Maximize AI investment
Understand which agents perform best for which work instead of accumulating tools with unknown return.
Optimize FTE + external capacity
See where internal teams, contractors, and delivery partners create value, where work is blocked, and where capacity can be reassigned.
Reduce unnecessary expansion
Add people or external resources when execution evidence shows a real capacity need — not because coordination is inefficient.
Value you can see in the evidence.
Because every work item carries its own record, Foreman can report on delivery the way finance reports on spend — with real signals instead of estimates.
- Queue timeWhere work waits before it starts
- Cycle timeIntent to release-ready
- First-pass validation rateHow often work passes the first time
- Remediation frequencyHow much rework the system carries
- Capacity utilizationHow much of what you pay for is used
- Provider performanceWhich resource is effective at what
- Bottleneck concentrationWhere delivery repeatedly stalls
- Cost per completed work itemUnit economics of delivery
Build the business case using your own operating model.
Estimate where engineering capacity is being consumed today and model how improvements in coordination and delivery overhead could affect your organization. External labor and planned hiring are shown as separate scenarios; AI-tool spend is shown in context but is not counted as savings.
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Grey example values are hints only — they are not submitted and are not Foreman benchmarks. The model calculates once you enter your own figures for the required fields.
Your engineering organization
Foreman scenario assumptions
Illustrative starting assumptions — not based on Foreman customer outcomes. Adjust them to reflect your own business case.
Modeled business value
Complete the required inputs to see your modeled scenario.
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This assessment is an illustrative planning tool based on information and assumptions supplied by the user. It is not a guarantee of savings, productivity improvement, staffing reduction, revenue, or financial return. Actual outcomes depend on implementation, adoption, workload and operating environment.
Model the return on your own numbers.
Bring your headcount, tooling spend, and delivery volume. We'll walk through where the coordination cost is and how much capacity may be recovered through improved orchestration.