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Orchestrate Startup IPO Readiness Audits using CrewAI Agents

Tech startups preparing for public listing in India must fulfill complex SEBI disclosure requirements across financial balance sheets and cap tables. Orchestrate a team of specialized CrewAI agents to cross-verify compliance documents, statutory audit filings, and valuation reports. Achieve a 95% detection rate on regulatory discrepancies.

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What you are building

Deploy a multi-agent team using CrewAI to automate financial audit, SEBI compliance, and cap-table risk checking for IPO-bound startups.

How work is evaluated

Evaluation

Evaluates CrewAI team report output against known compliance violations in synthetic DRHP documents.

Datasets

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

How submissions are scored

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

critical_finding_test

Checks if critical related party non-disclosure is flagged

Binary check

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

Dimension 2

discrepancy_detection_rate

Percentage of deliberate filing discrepancies successfully identified • target: 0.95 • 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

  • Define collaborative CrewAI roles for Financial Auditor, Legal Counsel, and SEBI Compliance Analyst

  • Build sequential and hierarchical multi-agent execution tasks

  • Parse multi-year DRHP drafts and financial statement footnotes

  • Produce consolidated IPO readiness risk matrices with regulatory references

Resources

Dataset notes

Synthetic startup DRHP draft excerpts, cap-table structures, and statutory financial audits.

Challenge setup

Evaluates CrewAI team report output against known compliance violations in synthetic DRHP documents.

Challenge input

JSON object containing financial summary and regulatory criteria

CrewAI

Provides collaborative multi-agent delegation and task management primitives.

Evaluated output

JSON object with compliance status, audit findings, and risk score

Evaluation checks
  • Checks if critical related party non-disclosure is flagged
  • Percentage of deliberate filing discrepancies successfully identified • target: 0.95 • range: 0-1
Configured evaluation evidence
  • Benchmark: SEBI Compliance Audit Benchmark
  • Discrepancy Detection Rate target: 95%
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

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

Evaluation contract

  • critical_finding_test · Weight 1
  • discrepancy_detection_rate · Weight 1

Metrics

  • discrepancy_detection_rate · Target 0.95

Benchmarks

  • SEBI Compliance Audit Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON object containing financial summary and regulatory criteria

    Output: JSON object with compliance status, audit findings, and risk score

    Execution harness: Python

Evaluation tools

  • CrewAI · Multi-Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Orchestrate Startup IPO Readiness Audits using CrewAI Agents