Move your Crystal Reports estate to Power BI on the Azure stack you may already own or are planning to build about 40% faster and 48% less effort than manual conversion, with 100% validation coverage and every output approved by a named engineer.
Set your report count, hours per report, and blended rate. The model compares a fully manual conversion against Everlign's AI-accelerated method across timeline, effort, and cost.
Adjust the inputs to match your reporting estate.
Effort breakdown by phase (person-hours) for your scope.
| Phase | Traditional | AI-accel. | Reduction |
|---|
All figures are indicative estimates derived from Everlign's AI-accelerated methodology and comparable engagements. The full conversion pipeline runs inside your Azure tenant no report logic, schema, or data leaves your environment. Every converted report is reviewed by a named BI engineer and passes an automated Crystal-vs-Power BI output diff. Confirmed numbers are produced after the fixed-scope Phase 1 assessment.
The gap isn't "AI does it faster." It's structural: a one-time foundation feeds repeating 2-week sprints, each shipping a wave of reports to production drafted by AI, approved by an engineer, validated end to end.
A fixed-scope assessment scans your actual .rpt inventory and hands back a confirmed timeline, effort, and cost - no guesswork, no commitment to the full build.
Every report parsed for formulas, subreports, and data dependencies.
Your real numbers, replacing the indicative model above.
We'll reply within one business day.