Ferguson Cabling / AI Operations
AI-assisted documentation, inventory research, and field-service communication grounded in physical inspection and human decisions.
- Selected operational work; not a company-wide transformation or measured ROI study.
Selected Work
AI and software applied to real-world work.
Explore implementation work across field operations, research, software, and insurance. Each example describes what was built or done and the limits of the evidence; prototypes remain labeled as prototypes.
Featured work
Research Intelligence
A system for organizing research evidence, comparing results, and supporting the next human decision during AI red-teaming research.
- The case study preserves uncertainty, mixed findings, and the limits of what the evidence supports.
Packet Highway
A network investigation application that combines structured context, AI-assisted analysis, and a reviewable explanation.
- A public demonstration of an implementation approach; not a managed security service.
Operational work
The strongest evidence comes from organized field and business operations.
The emphasis is on accurate records, unresolved-item visibility, stakeholder communication, and practical tools that support the process.
Field Operations Documentation and Closeout
Supported an active field-service environment by organizing completed work, unresolved items, access constraints, materials, and follow-up needs for clearer stakeholder visibility.
- Recorded site observations and open items without exposing customer names or sensitive site details.
- Helped field teams maintain practical project records and clearer closeout communication.
- Used a practical internal tool as one part of the documentation and follow-up workflow.
Workflow and Information Organization
Built and supported practical documentation, workflow, and technology solutions in small-business and field-service environments.
- Improved visibility and follow-up through structured documentation and internal tools.
- Supported secure information handling, technical troubleshooting, and stakeholder communication.
- Kept the focus on practical operations rather than technology for its own sake.
Customer-Facing Website and Communication
Created a focused customer-facing website with clear service information, mobile-readable content, and a direct contact path.
- Organized information around the questions a prospective customer would need answered.
- Applied plain-language communication and a straightforward mobile experience.
- Demonstrated the ability to translate operational detail into clear public-facing information.
Additional technical work
Prototypes and technical experiments.
Learning and internal-work examples, including a claims document organization prototype. These are not production carrier systems or claims services.
Claims Document Organization Prototype
Explored ways to organize representative claims documents, notes, and follow-up questions into a clearer human-reviewed workflow.
- A learning prototype, not a production carrier platform or commercial claims service.
- Did not make coverage decisions, value claims, or replace licensed professional judgment.
- Used sanitized or representative material rather than confidential claim-file data.
Analytics and Internal Tool Experiments
Built small tools and workflow experiments to improve information organization, issue visibility, and practical follow-up.
- Technical work explores practical information organization and problem-solving.
- No carrier adoption, production deployment, or business outcome is implied.
Connect
Have a workflow that needs a clearer path forward?
Talk with Nick about the work, the information involved, and where AI or software could help. Claims career and professional introductions are welcome too.