AI Enablement, From First Training to Agentic Use Case Design

Protiviti has supported Chord Energy's AI enablement since March 2026, taking the company from initial training to real-time use-case development, coaching and visibility into Claude usage across the enterprise. From April to June, through forward-deployed production support and custom-built observability tools, Chord Energy's active named-user base grew by 194 users, or 380%, while monthly token consumption grew by 221%.

Client snapshot

Client

Chord Energy, a Texas-based oil producer, is rolling out AI across the enterprise through a broad adoption plan built on Anthropic's Claude and other capabilities.

 

The challenge

The company wanted organization-wide AI capability, from first exposure through advanced agentic use cases.

 

Our approach

A phased enablement program: initial training, then real-time use-case mentoring, then agentic subject-matter support for internal AI experts and citizen developers across the enterprise.

 

Impact

Active named-user base up 380% (+194 users) and monthly token consumption up 221% from April to June, backed by forward-deployed production support and custom-built observability tools for enterprise-wide usage visibility.

 

The challenge

Durable, organization-wide AI capability takes more than a training event. As adoption grew quickly, the company recognized it needed sustained support that could keep pace as its own team's ambitions moved from basic use cases to advanced agentic ones.

Our approach

Protiviti has supported Chord Energy's AI development through a mentoring program in place since March 2026:

  • Initial training
  • Real-time mentoring as end users develop their own use cases
  • Deeper subject-matter expertise on advanced agentic use cases, using Claude Cowork and Claude for Teams/Enterprise
  • A Protiviti-built dashboard, now in production, giving visibility into Claude usage across the enterprise and showing where adoption is taking hold and where it needs support

Protiviti also works with the team to understand, measure and monitor blockers such as training and tooling gaps company-wide.

"Chord made an early commitment to putting AI in the hands of the people who do the work. Protiviti's mentors have helped us turn training into real use cases across the business, which lets our internal AI team stay focused on the harder problems."

Peter Muehlebach, Manager of AI & Data Analytics at Chord Energy

Impact

Sustained enablement supports both Chord's central AI team and the citizen developers embedded in the business. Enterprise-wide usage visibility helps the program measure, monitor and expand its internal use-case portfolio. Over the first three months of Chord's mentorship program, the company grew its named-user base by 380% and saw 221% increase in the volume of token consumption.

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