Artificial Intelligence and Intelligent Automation

AI Strategy and Readiness

We help organizations identify where AI can create the most value. This includes reviewing current processes, data readiness, system constraints, user needs, and risk areas. The result is a practical roadmap that supports responsible adoption and measurable outcomes.

Generative AI and Knowledge Solutions

We design AI-powered tools that help teams search, summarize, draft, review, and use information more effectively. These solutions can support knowledge management, help desk operations, policy research, document review, training, reporting, and mission support.

Agentic AI and AI Assistants

We help clients design AI assistants and agentic workflows that can support multi-step tasks, coordinate actions across systems, retrieve information, summarize findings, trigger workflows, and assist users with decisions. These solutions are designed with appropriate guardrails, human review, access controls, and monitoring so organizations can use more capable AI workflows while managing risk responsibly.

Intelligent Automation and RPA

We combine AI, agentic workflows, workflow automation, and robotic process automation to reduce manual effort, improve accuracy, and speed up routine tasks. This includes automating repetitive system actions, document processing, data entry, approvals, case routing, report generation, and operational workflows. When paired with AI and analytics, RPA becomes part of a broader intelligent automation strategy that helps organizations work faster and with greater consistency.

AI-Enabled Application Modernization

We help clients add AI capabilities to existing systems, portals, dashboards, and applications. This can include predictive analytics, smart search, decision support, virtual assistants, automated workflows, and improved user interfaces.

Data, Analytics, and Machine Learning

AI depends on reliable data. Goldman Edwards supports data preparation, integration, analytics, machine learning, dashboarding, and model monitoring so organizations can make better use of the information they already have.

Responsible AI, Security, and Governance

We build AI solutions with security, privacy, transparency, auditability, and human oversight in mind. Our approach helps clients manage risk, protect sensitive data, validate AI outputs, and maintain confidence in how AI is used.

The Right AI, Automation, and Cloud Platform for the Right Problem

Every organization has different needs. Some require commercial generative AI tools. Others need agentic AI frameworks, cloud-native AI services, private model environments, open-source options, robotic process automation, workflow platforms, low-code tools, or custom machine learning solutions.

Goldman Edwards helps clients make those choices with independence and clarity. We assess the mission, the data, the users, the systems, the workflows, the cloud environment, and the risk profile before recommending a path forward. Our cloud-agnostic approach allows us to support AI adoption across major cloud platforms, hybrid environments, private cloud environments, and existing enterprise architectures. This helps clients avoid unnecessary lock-in while building AI and automation capabilities that can scale over time.

Goldman Edwards helps clients adopt AI and automation without being locked into a single cloud ecosystem. We can support solutions across commercial cloud, hybrid cloud, private cloud, and existing on-premises environments. Our focus is to help clients choose the environment that best fits their data, security, compliance, performance, and cost requirements.

This cloud-agnostic approach gives customers more flexibility, better long-term control, and a clearer path to scale AI capabilities as their needs evolve.

Where AI and Automation Can Help

Goldman Edwards supports use cases such as:

• AI-powered help desk and knowledge assistants
• Agentic AI assistants for multi-step tasks and workflow support
• Document review, summarization, classification, and data extraction
• Workflow automation and case routing
• RPA bots for repetitive system tasks
• Predictive analytics and operational reporting
• Grants, financial, HR, acquisition, and operational process support
• Enterprise search and knowledge management
• Application modernization with AI-enabled features
• Training, user support, and content generation

Our Delivery Approach

We help clients move forward in a structured, low-risk way.

First, we identify high-value use cases across business processes, workflows, systems, and data. Then we assess readiness, security, integration needs, automation potential, and expected value. From there, we build focused prototypes, validate the results with users, and scale the solutions that prove practical value.

We support organizational change management, user adoption, training, and stakeholder communications to help teams understand, trust, and effectively use AI and automation capabilities in day-to-day operations

This approach allows organizations to move quickly while still maintaining control over quality, security, cost, and adoption.