Start with real work
Understand the workflow, users, data, decisions, and constraints before choosing models or architecture.
Useful AI, engineered to last · Northern Virginia
Build AI applications your organization can own
I help organizations turn complex workflows into AI-enabled applications they can run securely, improve over time, and trust in production.
Work directly with Dustin on the architecture, implementation, safeguards, and path to production.
Beyond the model
The model is only one part of the application.
Real value comes from fitting AI to the work, making its behavior testable, and giving the organization a secure way to operate and improve it.
Make behavior testable
Define useful outcomes, evaluate realistic scenarios, and keep human judgment at consequential decision points.
Design for ownership
Build in security, observability, rollback, documentation, and a practical way for the team to keep improving it.
Capabilities
From application idea to production ownership
AI application architecture
Turn an organizational need into a coherent application, roadmap, and delivery boundary.
Agents and workflow automation
Design focused agents, tool use, handoffs, escalation, and human decisions around real work.
Enterprise data and integrations
Connect applications to internal knowledge, APIs, identity, and existing systems without creating another silo.
Evaluation and human oversight
Measure usefulness and failure behavior with realistic scenarios, acceptance criteria, and clear decision rights.
Secure delivery and operations
Create repeatable build, scan, deploy, approval, rollback, monitoring, and verification paths.
Adoption and long-term ownership
Prepare the people, documentation, and operating practices needed to improve the application after launch.
Selected experience
Recent experience behind the offer
A concise view of directly relevant work. Specific engagement details stay private unless publication is approved.
Governed model access
Centralized access across AI providers so applications could share protected credentials, usage controls, and integration patterns.
Human-directed agent workflows
Designed focused agents with classification, tool use, evidence gathering, constrained actions, and explicit human decisions.
Production delivery systems
Established repeatable security, testing, deployment, observability, rollback, and verification practices for live applications.
A hands-on technical partner
Have an AI application that needs to work beyond the demo?
Bring the application, workflow, or platform problem. We can define what useful means, what must stay protected, and a delivery path your organization can support.
Talk through the application