ConstructionAI implementation case study

Construction – Design-Build Firm (Mountain West): Preconstruction & Subcontractor Bid AI

AI automation for RFP ingestion, subcontractor outreach, bid leveling, and executive go/no-go packs.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom automated the entire preconstruction funnel from RFP drop to leadership decision, replacing email-thread bidding with agent-orchestrated data.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: design-build commercial. Size: 190 staff. Complexity: fast-track schedules, union packages. Systems: ACC, Excel legacy macros.

02 · Challenge

Core problem

Manual RFP reading, inconsistent sub quotes, hidden scope gaps. Bottleneck at bid leveling and risk surfacing.

03 · Approach

Solution

PrimeAxiom built a preconstruction OS: AI parses owner RFPs, generates bid grids, agents chase subs with structured forms, and a Decision Agent assembles financial and schedule risk for leadership sign-off.

04 · Impact

Results

Bid preparation hours −47%; subcontractor response rate +29%; estimate error variance −18%; executive review time −63%.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

RFP Intelligence pipeline, Sub Outreach Agent, Bid Normalization Agent, Risk Scoring Agent, Executive Brief Agent.

Workflow

How the automation runs

1. RFP upload/email. 2. AI extracts divisions and alternates. 3. Canonical scope object. 4. Outreach sequences to qualified subs. 5. Responses normalized to grid. 6. Leadership go/no-go with scenario toggles. 7. Win/loss feeds estimator models.

Intelligence layer

AI agents and decision logic

RFP Parser Agent, Sub Matcher Agent, Leveling Agent, Risk Narrative Agent.

Under the hood

Technical architecture

Node orchestration, Postgres, doc pipeline, LLM with table extraction, email/SMS gateways.

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