Proposal Turnaround
From customer request to first-pass proposal workflow.
Mid-market builders are often caught in the hardest position.
The company has real demand. The team has real expertise. But proposal volume is growing faster than internal capacity.
Adding another designer, estimator, proposal coordinator, or salesperson every time volume increases is not a scalable operating model.
Konstruct AI is designed to help established builders create more capacity from the team, inventory, systems, and catalog they already have.
This model estimates the time, workload, and revenue opportunity that may be unlocked when a mid-market builder moves proposal work from a slow manual handoff cycle to an inventory-grounded first-pass workflow completed in minutes.
From customer request to first-pass proposal workflow.
Estimated workload capacity that can be redirected, avoided, consolidated, left unfilled, not backfilled, or recovered by a leaner team.
Estimated annual value of recovered labor capacity across design, sales, pricing, estimating, operations, and leadership work.
Labor capacity plus revenue opportunity from faster proposal throughput and more opportunities pursued.
How to read these figures. These figures are illustrative and directional. FTE equivalents represent workload capacity that may be redirected, avoided, consolidated, left unfilled, not backfilled, or recovered for higher-value work. Revenue opportunity is not guaranteed and should be modeled using the builder’s actual proposal volume, win rate, average project value, staffing, compensation, outsourcing costs, software costs, hiring plans, and workflow data.
$190K–$380K annual value
$160K–$320K annual value
$110K–$220K annual value
$36K–$72K annual value
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Move from customer direction to something the team can price and deliver.
A lean commercial team can respond to more opportunities without adding headcount at the same rate.
Customers receive proposal-ready concepts and first-pass pricing sooner.
The builder can pursue work previously delayed, deprioritized, or abandoned because the team lacked capacity.
More first-pass concept generation can happen inside the platform rather than automatically being sent to an external vendor.
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Commercial structure and platform inclusions are detailed on the Pricing page.
This mid-market ROI model is illustrative and directional.
Capacity estimates represent full-time-equivalent workload that may be eliminated, consolidated, avoided, left unfilled, not backfilled, or redirected. The model does not assume that all capacity results in workforce reduction.
Revenue-influence potential represents additional opportunity enabled by greater proposal throughput and is not guaranteed revenue.
Final ROI should be calculated using the builder's actual staffing, compensation, proposal volume, average project value, win rate, software costs, outsourcing costs, hiring plans, inventory complexity, and workflow data.