Count the review work before you fund the workflow
Compare the same work before and after a proposed change. This is a synthetic planning example, not measured savings or a quotation.
Cabrillo Club
Editorial Team · November 19, 2025 · Updated Sep 10, 2026
Compare the same work before and after a proposed change. This is a synthetic planning example, not measured savings or a quotation.
Keep handling, review and additional rework separate. Count every model attempt in the average token input. Count setup once and ongoing ownership monthly. Labor capacity is not cash saved unless an actual avoidable expense is identified.
Download the editable three-scenario spreadsheet
Change an assumption
All workload and labor inputs below are estimates. Before authorizing work, record each observed baseline, method, date and owner in the spreadsheet. Nothing you enter here is transmitted or saved.
Check the evidence before the budget
Missing input rights, owner acceptance, spending approval or a usable test set means stop, even when the arithmetic is positive. Keep the existing workflow available. Stop if recurring cost exceeds the baseline or setup cannot pay back inside your chosen horizon.
Price example: AWS Bedrock Claude 3.5 Sonnet v2, Public Extended Access, US West (Oregon), on-demand input $6 and output $30 per million tokens, checked 9 September 2026. This is an arithmetic reference, not a deployment recommendation. Verify availability, exact model, region, tier, all attempts and current rates against AWS pricing. Your architecture and operating owner have not been verified by this worksheet.
Include additional security, support, tax, storage growth, training and change-management costs where applicable; do not assume they are zero. Unchanged shared costs cancel only if truly unchanged. No revenue gain is assumed.
Book a free 25-minute conversation · Review the paid assessment scope
The conversation is free; it does not purchase the assessment.

Cabrillo Club
Editorial Team
Cabrillo Club is a defense technology company building AI-powered tools for government contractors. Our editorial team combines deep expertise in CMMC compliance, federal acquisition, and secure AI infrastructure to produce actionable guidance for the defense industrial base.
Related Articles

AI Proposal Writing for Gov Contracts: Automation vs Compliance
Learn where AI accelerates government proposal writing—and where compliance risks live. A technical guide to automation patterns that keep you audit-ready.

RAG Isolation for Proposal Management: Keep Competitive Data Separate
Learn how to isolate retrieval-augmented generation (RAG) by customer, bid, and competitor to prevent data leakage in proposal workflows.

Proposal Automation for Federal RFPs: What Actually Works
A practical checklist for selecting and implementing proposal automation software for federal RFPs—what to automate, what not to, and how to prove ROI fast.