AI, Agentic AI & Intelligent Automation

Responsible AI that amplifies federal mission capacity, from pilot to production.

The federal AI era has arrived. The agencies that are winning are the ones moving beyond proof-of-concept experiments into sustained, mission-aligned AI deployment. Goldman Edwards helps agencies make this transition confidently: from AI curiosity to AI as a continuous operational capability that measurably improves how agencies serve the American people.

We are platform-agnostic and cloud-agnostic in our AI practice. We start with the agency's mission requirements, data environment, security constraints, and long-term goals, then select and integrate the AI technologies that best serve those requirements. Every Goldman Edwards AI engagement is grounded in federal governance frameworks including OMB M-24-10, Executive Order 14110, and agency-specific AI use policies, producing outcomes that are explainable, auditable, and defensible to oversight bodies and IG reviews alike.

Agentic AI represents a qualitative leap beyond traditional automation. Where conventional AI tools perform single, well-defined tasks, agentic AI systems orchestrate complex, multi-step workflows autonomously, perceiving conditions, planning action sequences, executing across multiple tools and data sources, and adapting based on results. For agencies processing millions of documents or managing complex regulatory workflows, agentic AI offers transformation at a scale that was simply not possible before.

Our AI commitment — governance built in, not bolted on:

  • Use-case risk tiering aligned to OMB M-24-10 guidance, completed before any AI system is deployed
  • Algorithmic bias testing and mitigation for any AI system making or influencing consequential decisions
  • Explainability documentation that allows human reviewers to understand, challenge, and override AI-driven outputs
  • Human-in-the-loop workflow design at every consequential decision point. AI augments. Humans decide.
  • Ongoing model monitoring for drift, performance degradation, and unintended outcomes, treating AI governance as a continuous discipline rather than a one-time assessment

AI & ML Capabilities

  • Agentic AI workflow orchestration and multi-agent systems
  • Generative AI (GenAI) with secure, FedRAMP-authorized deployment
  • Retrieval-Augmented Generation (RAG) for grounded, cited responses
  • Machine learning model development and production deployment
  • Natural language processing (NLP) and text analytics
  • Computer vision and intelligent image analysis
  • Predictive analytics and decision support systems
  • AI Center of Excellence (CoE) establishment and governance

OMB M-24-10 / EO 14110 compliance framework support

Intelligent Automation

  • AI-enhanced RPA with computer vision, NLP, and machine learning
  • Intelligent Document Processing (IDP) with better than 95 percent extraction accuracy
  • Workflow automation and orchestration across enterprise systems
  • API automation and legacy systems integration
  • MLOps covering training, deployment, monitoring, and retraining pipelines
  • Vector database and knowledge base infrastructure for RAG
  • Model drift detection and continuous performance monitoring
  • AI workforce training and organizational change management

Secure GenAI on FedRAMP-authorized cloud infrastructure

The outcome

Dramatically faster processing of high-volume workflows, stronger analytical capabilities for federal decision-makers, and responsible AI governance that satisfies OMB M-24-10 and EO 14110 requirements. An AI foundation that scales from individual use cases to enterprise-wide deployment across the agency.