Construction
AI agents can help with RFIs and change orders, but only after construction teams define authority, trusted context, approval paths, evidence, and outcome accountability.
Workflow brief
Core risk
An agent drafts, routes, or summarizes a construction commitment without current project context, scope approval, approval thresholds, or evidence of the source used.
Built for
Construction operator, COO, project executive, operations director, risk lead, or technology lead
Starting point
Agent Readiness Audit
Useful resource
7 Gates Checklist or Agentic Readiness Scorecard
Why this workflow matters
RFIs and change orders are strong first workflows to audit because the work is specific, costly, version-sensitive, and easy for operators to understand.
Construction AI gets risky when agents draft or route work without knowing the current source, approval threshold, or evidence requirement.
The question before automation
Before an agent assists, recommends, routes, drafts, escalates, or triggers a next step, the team needs identity, authorization, approved context, risk classification, review rules, evidence, and outcome attribution.
Where it usually breaks
Workflow teardown
Teams gather drawings, specs, field notes, photos, and stakeholder context before drafting and routing a response.
What breaks: Drawing version unclear, Spec context conflicts, Ownership is split, Response evidence not packaged
Where agents may assist: Summarize RFI, Retrieve relevant drawings, Draft response, Route for review
Why controls matter: An RFI response can shape field action, cost, schedule, and dispute posture.
Controls to define: Source version control, Response authority, Reviewer matrix, Evidence packet, Acceptance log
A change is documented, priced, reviewed, approved, and communicated across project stakeholders.
What breaks: Scope impact unclear, Approval threshold informal, Cost rationale scattered, Schedule impact missing
Where agents may assist: Draft change summary, Collect supporting docs, Classify impact, Suggest approval route
Why controls matter: A change order touches money, schedule, contract obligations, and stakeholder trust.
Controls to define: Cost approval threshold, Schedule impact review, Contract trusted context, Human approval, Evidence trail
Teams compare vendors, documents, quotes, compliance items, and project needs before selection or approval.
What breaks: Approval criteria unclear, Documents stale, Quote assumptions missing, No clear final owner
Where agents may assist: Compare quotes, Summarize vendor docs, Flag missing requirements, Draft recommendation
Why controls matter: A vendor recommendation can create cost, schedule, quality, and compliance implications.
Controls to define: Approved criteria, Document freshness check, Owner approval, Risk flags, Recommendation evidence
What the audit produces
The audit does not start by selecting a tool. It starts by making the work legible enough for humans and agents to share the same operating model.
Which project workflow is most expensive when delayed?
Who approves scope, cost, and schedule impact?
Which sources are authoritative?
Where is approval captured?
What evidence would you need in a dispute?
No guaranteed ROI, savings, compliance, legal, clinical, or operational outcomes before diagnosis.
No assumption that agents should handle rfis and change orders without human review rules.
No automation plan until trusted context, approvals, evidence, and escalation paths are mapped.
No broad agent permissions. Start with one scoped workflow and one clear review path.
Start with a focused Agent Readiness Audit for RFIs or change orders before any agentic build. Suggested scope: One RFI workflow, one change order path, or one project type.