Convert discovery findings into structured implementation estimates, with architecture complexity scores, team composition, and milestone planning.
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Architecture complexity scoring
Score the overall complexity of the project based on systems, integrations, and data requirements from discovery.
Integration complexity analysis
Analyze the effort required to connect each system based on method, data volume, frequency, and dependency depth.
Data modeling complexity scoring
Assess the complexity of data migration and transformation requirements from the data model produced in discovery.
Implementation effort modeling
Convert complexity scores into estimated effort hours across roles and workstreams grounded in the discovery evidence.
Recommended team composition
Generate a recommended team structure (roles, seniority, and capacity) based on the specific complexity profile of the project.
Milestone estimation
Produce a phased milestone plan aligned with architecture, integration, and delivery complexity across the engagement.
Project complexity score
A composite score reflecting architecture, integration, and data complexity, grounded in discovery evidence.
Recommended team composition
A role-by-role team recommendation with seniority and capacity guidance based on the project complexity profile.
Estimated timeline
A range-based delivery timeline derived from complexity scores and industry benchmarks for comparable projects.
Milestone plan
A phased milestone structure covering architecture, configuration, integration, testing, and launch.
“ERP + PIM + Commerce implementations typically require 18–24 weeks. Estimation Intelligence makes this visible from discovery, not after scoping.”