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Event Recap: Modern Consensus Management at CIRI Senior IRO Leadership Day
Ask any IRO about consensus and you'll hear the same frustration. A group of analysts builds forecasts on your...
When you’re serving 2 million customers a day across 1,750+ locations, operational efficiency is part of your DNA. But for Murphy USA’s IR team, driving that same level of efficiency behind the scenes was a challenge, especially with a small team and growing expectations.
Ranked #214 on the Fortune 500, Murphy USA has built its reputation by helping Americans save on fuel and everyday essentials. As the company expanded, so did the demands for an improved IR function. However, with just three people handling earnings communications, competitive tracking, and investor engagement, inefficient workflows were slowing them down.
The challenge: a three-person team and a disjointed tech stack
Their challenges echoed what many IR teams face today:
- Manual, repetitive tasks draining resources
- A disjointed tech stack creating information silos
- Pressure to maintain tight security around sensitive financial data
- The race to deliver timely, consistent messaging to investors each quarter
The building blocks were already there: Murphy USA was using Q4 for its IR website and earnings events. The missing piece? Unlocking the full potential of Q4’s integrated platform, especially its secure AI capabilities.
The results: three days saved per earnings cycle
Murphy USA streamlined its workflow by leveraging Q4’s AI Earnings Co-Pilot, Peer Transcripts, and centralized IR CRM and Engagement Analytics. The impact was immediate and significant:
- 3 days saved per earnings cycle, freeing up time for strategic initiatives
- Improved data security, with all sensitive materials housed within Q4’s purpose-built platform
- Enhanced accuracy and consistency, reducing back-and-forth on script revisions
- Greater cost efficiency by consolidating point solutions into one cohesive system
- 50% reduction in team members needed on competitor calls, meaning more predictable analyst interactions, thanks to AI-powered insights from past engagements and market trends
Discover how Q4 played a crucial role in driving this transformation by downloading the full case study below.