How to build a Compliance Package Generator Agent

An AI-powered RMF compliance automation system that transforms system metadata, uploaded evidence, and security requirements into a complete, audit-ready ATO package for DoD IL5 systems.

Challenge

Preparing a DoD Authorization to Operate (ATO) package for IL5 systems is an extremely time-consuming, manual process requiring deep expertise in NIST 800-53 controls, evidence mapping, and compliance documentation across multiple artifacts (SSP, SAP, SAR, POA&M, eMASS exports).

Industry

Industrials

Department

Sales

Operations

Integrations

Knowledge Base

OpenAI

The DoD ATO Package Generator is an intelligent compliance automation agent designed to streamline the Risk Management Framework (RMF) authorization process for Department of Defense Information Level 5 (IL5) systems pursuing an Interim Authority to Test and Connect (IATT-C).

How It Works:

The workflow operates through six specialized AI agents working in sequence:

  1. System Context Collector – Ingests system information (name, ID, mission, categorization, CIA impact levels, information types) and uploaded evidence files (topology diagrams, design documents, hardware/software inventories) to create a comprehensive system profile with FIPS 199 categorization.

  2. Control Selector – Analyzes the system context against NIST SP 800-53 Rev. 5 requirements to determine the complete set of applicable security controls for DoD IL5, including overlays (PII, PHI), enhancements, and tailoring based on system boundaries, interconnections, and information types.

  3. Evidence Aggregator – Maps all uploaded evidence artifacts (documents, diagrams, inventories, policies) to the selected controls, ensuring every control has supporting evidence or flagging gaps with placeholder entries for remediation tracking.

  4. Documentation Drafter – Generates the complete ATO package including the System Security Plan (SSP), Security Assessment Plan (SAP), Security Assessment Report (SAR), and prepares eMASS-ready control implementation statements with linked evidence.

  5. Compliance Validator – Validates control implementation against evidence, computes residual risk, identifies gaps, and produces detailed validation findings for each control with pass/fail status and remediation recommendations.

  6. Reviewer & POA&M Generator – Performs quality assurance on the entire package, generates a Plan of Actions and Milestones (POA&M) for controls with insufficient evidence or implementation gaps, and produces the final authorization narrative.

Inputs Required:

  • System metadata (name, ID, mission, owner, categorization)

  • System boundary information (environments, external interfaces, roles)

  • Supporting evidence files (topology diagrams, design documents, inventories, policies, procedures)

Outputs Delivered:

  • Complete ATO authorization package (SSP, SAP, SAR) in professional format

  • Detailed POA&M with actionable remediation steps for control gaps

  • eMASS-ready control implementation data for direct import

  • Validation report with compliance status for all applicable controls

Key Benefits:

  • Reduces ATO preparation time from months to days

  • Ensures comprehensive NIST 800-53 control coverage with no gaps

  • Automatically maps evidence to controls, eliminating manual cross-referencing

  • Generates audit-ready documentation in DoD-compliant formats

  • Identifies compliance gaps early with actionable remediation plans

  • Maintains consistency across all documentation artifacts

This agent is ideal for DoD contractors, system integrators, and government agencies seeking to accelerate their IL5 system authorization process while maintaining rigorous compliance standards.

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Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.