Artificial Intelligence
A Quick Note to Our Partners in the Federal Government
We understand that agencies need to do more with less. AI is the mandated solution, but government IT leaders and professionals know that the value of advanced technologies cannot simply be spoken into existence. The long-term benefit of AI takes up-front resources, expertise, and a commitment to change. TCG is proud to support our Federal partners in a moment when technology is accelerating relentlessly, policy is in flux, and the demands are greater than ever. Ask how we can help. Or, see what we offer.
What We Do
TCG helps agencies escape proof-of-concept purgatory and implement AI solutions that quickly deliver ROI. Our services include
- Strategy and Governance
- Prototype Development (AI Start Button)
- Use Case Design
- Solution Deployment
The Four Stages of AI Adoption: Where is Your Agency?
Understanding where you are in your AI adoption journey is the first step to effective implementation and oversight. Adoption typically progresses through the following stages, each with its own characteristics and opportunities. We help agencies progress in their AI integration regardless of their starting point.

1. Air-Gapped
Manual interaction on separate devices. AI is a research assistant.

2. Cut and Paste
Approved sharing of non-sensitive code. AI becomes a debugger.

3. IDE Integrated
AI is a project-aware partner inside the editor.

4. Autonomous
AI acts as a proactive agent, running tasks independently.
Strategy and Governance
How can agencies actually realize the value AI promises? TCG’s strategy and governance services provide the frameworks that moves AI from valuable in theory to valuable in practice.
AI Readiness Assessment
Regardless of your current state, TCG’s AI readiness assessment process shows you where you need to go and helps you get there. Culminating in a strategic roadmap with clear, actionable steps to reach AI readiness, this process unlocks the pathway to a more efficient enterprise.
AI Data Infrastructure and Governance
Without robust data management practices, including metadata management to ensure context and traceability, in place to ensure quality, AI tools won’t be able to deliver trustworthy insights. We ensure that the data feeding the AI is standardized, validated, and governed by sound data management policies
Talent Development
Technology and planning is only part of the solutions. Agency staff need to learn how to leverage these new resources. TCG’s AI experts help upskill staff with brief, but effective workshops and training materials.
AI in Action: Advanced Analytics and Data Sharing
At SEC, TCG is developing DCStats (Database for Commission Statistics) a web-based data visualization tool that will take a natural language query from the user, transform it to a SQL statement, and return the results in a visualization that can easily be shared across the agency.
Prototype Development
TCG’s AI Startbutton is an LLM and platform-independent AI prototyping framework. Designed for seamless integration into diverse agency Enterprise Architectures, this platform leverages multi-agent architecture to allow agencies to explore what’s possible rapidly, securely, and without major upfront investment.
Open-Source
Our platform leverages open-source tools to avoid vendor lock-in.
Secure Deployment:
Test LLMs in a private cloud without sending sensitive data outside the agency. Deploy AutoGen workflows inside AWS GovCloud or Azure GCC to ensure compliance with federal security mandates.
In Action
OMB MAX’s OPAL (Open Security Controls Assessment Language [OSCAL] Policy Administration Library) tool leverages LLMs for document generation and security policy Q&A.
Opening the Black Box: What is a multi-agent workflow and why should you care?
A coordinated process where multiple AI agents collaborate to perform complex tasks and achieve a common objective. Mutlti-agent workflows behave like a team, with clear roles for each agent. They improve performance, accuracy, and can scale up as the complexity of the workflow increases.
Use Case Design
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Sample use cases