Purpose of the AI Agent
Reduce a baseline bid to a specified target while preserving scope quality, safety, and schedule integrity.
User Inputs
Baseline Bid: Line items, vendor/sub quotes, allowances, alternates
Target Budget: Not-to-exceed number and non-negotiable inclusions
Constraints: Quality standards, schedule commitments, warranty, compliance
Options: Acceptable alternates, substitutions, means/methods flexibility
What the AI Agent Does
Baseline Analysis: Identifies cost drivers; benchmarks unit costs/productivity
Value Engineering: Substitutions and system choices with quantified impacts
Means/Methods Optimization: Phasing, crew mix, prefab, logistics, waste reduction
Vendor/Sub Optimization: Re-scope, rebid, bundle buys, negotiate price/lead times
Scope Clarification: Resolve ambiguities; align inclusions/exclusions with client
Savings Plan: Option catalog with staged selections to meet the target
Expected Output
File Format: HTML document
Contents: Savings summary; option catalog with cost/schedule/quality impacts; revised totals; residual risks and mitigations
Key Outcome
A credible, prioritized path to reach the target budget without compromising success factors.