Checking PDFs for 50 partners slowed the team. Agents now validate rights autonomously, freeing managers to build relationships.
A Formula 1 racing team manages over 50 corporate partners and a global audience of 574 million fans across 100 countries.
Partner managers spent significant time manually coordinating requests, such as cross-referencing trackside availability with contract rights stored...
“In our sport, standing still actually means going backwards. At McLaren Racing, we rely on our partners like Salesforce to deliver industry-leading capabilities to drive performance on and off the track.”
Professional motor racing team competing in Formula One, IndyCar, and Formula E.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
McLaren Racing's Partner management is part of this use case:
Related implementations across industries and use cases
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.
Single-source data gaps stalled global staffing. AI agents now aggregate 10+ providers to map the market in 2 weeks, not 2 months.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Manually hunting for clauses in scattered playbooks consumed half of review time. Now, AI handles first-pass reviews and instant queries.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Manual prospect sourcing took 2 months. Now, AI enriches 8M records and routes scored sponsorship leads to 150 reps in 24 hours.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Checking PDFs for 50 partners slowed the team. Agents now validate rights autonomously, freeing managers to build relationships.
A Formula 1 racing team manages over 50 corporate partners and a global audience of 574 million fans across 100 countries.
Partner managers spent significant time manually coordinating requests, such as cross-referencing trackside availability with contract rights stored...
“In our sport, standing still actually means going backwards. At McLaren Racing, we rely on our partners like Salesforce to deliver industry-leading capabilities to drive performance on and off the track.”
Professional motor racing team competing in Formula One, IndyCar, and Formula E.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
McLaren Racing's Partner management is part of this use case:
Related implementations across industries and use cases
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.
Single-source data gaps stalled global staffing. AI agents now aggregate 10+ providers to map the market in 2 weeks, not 2 months.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Manually hunting for clauses in scattered playbooks consumed half of review time. Now, AI handles first-pass reviews and instant queries.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Manual prospect sourcing took 2 months. Now, AI enriches 8M records and routes scored sponsorship leads to 150 reps in 24 hours.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.