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Challenge

Orchestrate Commercial Construction Risk Assessment with CrewAI Multi-Agent Teams

Large commercial construction projects demand multi-faceted risk review across safety, contractual, and environmental exposures. Build a collaborative multi-agent system using CrewAI featuring specialized Risk Inspector, Legal Auditor, and Financial Loss Estimator roles. Achieve comprehensive risk analysis reports with high factual coverage on project documentation.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Design a CrewAI orchestration framework with defined agent roles, goals, tools, and sequential workflows for construction policy evaluation.

Delivery guide

How work is evaluated

Evaluation

Evaluates CrewAI team output quality and coverage of critical risk factors in construction documents.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

crew_completion

All agent tasks complete successfully without deadlocks.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

hazard_coverage_recall

Percentage of benchmark hazards successfully identified by the agent crew • target: 0.9 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Define specialized Agent roles, goals, and backstories in CrewAI.

  • Implement sequential and hierarchical Task execution pipelines.

  • Integrate custom inspection tools into CrewAI tasks.

  • Generate unified multi-agent exposure summaries for commercial construction.

Resources and assets

Reference links and supporting material

Dataset notes

Dossier dataset of 50 commercial construction projects including engineering specs and site reports.

Challenge setup

Evaluates CrewAI team output quality and coverage of critical risk factors in construction documents.

Challenge input

JSON with project_type, budget_usd, structural_specs, and site_hazards

CrewAI

Specialized framework for role-playing multi-agent workflows.

Evaluated output

JSON containing risk_score, key_recommendations, and agent_outputs summary

Evaluation checks
  • All agent tasks complete successfully without deadlocks.
  • Percentage of benchmark hazards successfully identified by the agent crew • target: 0.9 • range: 0-1
Configured evaluation evidence
  • Benchmark: MultiAgentTaskBench
  • Hazard Coverage Recall target: 0.9
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • CrewAI · Required
  • crewAI · Optional
  • Aim · Optional

Evaluation contract

  • crew_completion · Weight 1
  • hazard_coverage_recall · Weight 1

Metrics

  • hazard_coverage_recall · Target 0.9

Benchmarks

  • MultiAgentTaskBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with project_type, budget_usd, structural_specs, and site_hazards

    Output: JSON containing risk_score, key_recommendations, and agent_outputs summary

    Execution harness: Python

Evaluation tools

  • CrewAI · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Orchestrate Commercial Construction Risk Assessment with CrewAI Multi-Agent Teams