Founder & Principal Consultant
Brandon Russell
“I have spent 20 years in the Marine Corps getting people to change how they work: new equipment, new data systems, new processes. The technology was rarely the hard part. Ownership, trust, and a clear before-and-after number were. AI is the same problem moving faster. I founded Russell Innovation Group to work on it, and I build the tools myself so my advice stays honest about what the technology actually does.”
Brandon Russell, Founder
- AI transformation and adoption strategy
- Organizational change management
- Workflow redesign and Lean Six Sigma process improvement
- Responsible AI governance
- Hands-on AI and business intelligence builds
- B.S. Organizational Leadership
About Russell Innovation Group
Russell Innovation Group (RIG) is an AI-native consulting and technology practice focused on AI transformation: the organizational change, workflow redesign, and responsible adoption that together decide whether an AI investment ever shows up in the work.
RIG was founded in 2026 in Sneads Ferry, North Carolina. Its products cover workforce transition, records and knowledge management, and small-business operations, each tied to a defined user problem and workflow. Its founder also built readiness reporting and inspection tools during Marine Corps service. RIG builds what it advises on.
Our Mission
Help organizations turn AI investment into changed work, and prove it with numbers captured before launch.
We work where new technology meets institutional friction: busy teams, real constraints, and decisions a person has to own.
Our Vision
- AI that changes how the work gets done.
- People who know when to trust the output and when to check it.
- Governance that makes the compliant path the fast path.
- Results measured against a baseline.
RIG aims to be the partner organizations call when they have the tools and still need the change.
The rules we hold every engagement to:
Start with the work
Map how the job actually gets done before choosing a tool.
Design for trust
People adopt what they understand. Each role learns what the tool does well and when to check it.
A person owns every decision
AI drafts and recommends. A named person approves.
Baseline first
Capture the before number at launch, or there is nothing to compare against later.
Build what we advise on
Hands-on builds keep the advice honest about what the technology does.
Outlast the champion
Change that depends on one enthusiast ends when that person moves on. Build it into the operating rhythm.
The goal is an organization that keeps working the new way after we leave.
Change leadership first
Twenty years of fielding new equipment, data systems, and processes in high-accountability units. The tools change. The adoption problem stays the same.
We build what we advise on
RIG builds AI tools hands-on, including source-grounded assistants and local-first systems, so recommendations come from use rather than vendor claims.
Built for constrained environments
Experience shipping AI tools inside restricted government networks, including local models and tools that need no backend, with a person approving each decision.
Measured outcomes
Seats and logins measure activity. We measure active use in a named workflow, proficiency, time-to-value, and productivity against a baseline.
Candid guidance
We will tell you when a use case is not ready, when the data is not there, or when AI is the wrong tool. No buzzwords, no padding.