Budget the complete production operation, not just estimating seats and producer salaries.

Use three views: implementation spending, recurring full cost and incremental cash cost.

Which public cost references are available?

The Xactimate amounts were present in the official product-page search records reviewed for this research; the page’s JavaScript presentation limited direct extraction. Obtain a written quote before committing funds. (xactimate.com) The Cotality, BLS and Texas references come from their respective official documentation. (symbilitysolutions.freshdesk.com)

Cotality’s published pricing FAQ states that its Seat License Manager went live on 1 June 2026, valid seat assignments were required by 23 June 2026, and the first bill reflecting the new standard seat and transaction fees was scheduled for 1 July 2026, with an exception for existing custom agreements until renewal. Check your actual contract rather than assuming a historical pricing model still applies. (symbilitysolutions.freshdesk.com)

What implementation work should the budget include?

The following is a hypothetical light-build budget, assuming existing approved systems and available internal staff. It is not a quoted implementation cost.

At an assumed blended internal cost of $80 per hour, labour is $40,000. Add an explicitly assumed $8,000 for incremental licences, training and testing purchases: $48,000 total.

Replace every allowance with a named work owner and estimate. Recruitment, extensive custom integration, core-system changes and major data remediation are outside this example. Maintain a separate schedule-risk allowance rather than hiding uncertainty inside an implausibly precise total.

How do you calculate total cost per accepted file?

Use this proposed formula:

Total cost per accepted file = attributable production, review, correction, exception, reinspection, technology, supervision and implementation-allocation costs ÷ accepted files in the same cohort.

Apply these rules:

• Do not count a bundled supplier correction twice.
• Do not include the same employment cost in both the hourly rate and overhead allocation.
• Include attributable reinspection, but keep ordinary first inspections outside the stated production scope.
• Report stranded or idle capacity separately when comparing operating models.
• Keep indemnity payments outside the production-cost calculation.
• Identify open files and mark immature-cohort results provisional.

What does a worked in-house scenario look like?

All inputs below are assumptions, not benchmarks. Assume a monthly cohort of 500 files, all eventually production-accepted.

The review assumption includes all reviewer touches; correction labour is producer time. The hypothetical productive-hour rates must already account for the relevant paid non-production time, or that cost must be added separately.

If only 480 files have been accepted at the reporting cut-off, the same incurred cost gives $154.17 per accepted file, but that is provisional: the remaining 20 files may add further work and cost.

How do these assumptions translate into headcount?

The example requires 800 producer hours: 750 initial-production hours plus 50 correction hours. At an assumed 120 productive hours per person per month, that is 6.67 producer equivalents—round to seven for a nominal staffing plan.

The 200 reviewer hours require 1.67 reviewer equivalents at the same assumed availability—round to two. Coordination, leave coverage, specialist escalation and surge capacity still require explicit provision. These figures are a calculation from the scenario, not a recommended industry staffing ratio.

When does time saved become cash saved?

Show released capacity and cash savings separately. If people remain employed at the same cost, lower handling time creates available hours; it does not automatically remove payroll spending.

For sensitivity testing, ten additional review minutes across 500 files at an assumed $75 per hour add $6,250, or $12.50 per accepted file. Use this calculation to test whether apparent drafting savings survive the cost of checking the result.