Real-time Analytics · Risk Management
PepsiCo’s Global Sustainability Office had to coordinate hundreds of processes and data sources, but forecasting and planning still took weeks and stakeholders needed faster, more consistent sustainability insight.
Reported impact
PepsiCo shortened key sustainability scenario analyses from weeks to minutes, improved data integrity through anomaly detection and verified repositories, and created a repeatable AI operating model the business can scale across future sustainability workflows.
PwC helped PepsiCo turn sustainability planning from linear analyses into an AI-native operating model for its Global Sustainability Office. The team mapped more than 500 processes, data sources, and decision points, then reorganized priority workflows into 17 agentic loops that watch for changes, reason over implications, and either trigger the next step or route issues for human review. At the center is an interactive scenario-analysis blueprint that recalculates glidepath projections on demand, supported by an AI-enabled data-management layer and verified information repository that standardize shared sustainability inputs. Reusable agentic archetypes handle data validation, calculation, anomaly detection, and AI-assisted drafting, while a governance framework monitors performance, investment choices, and human oversight. The result is a scalable analytics environment where work that once took weeks can run in minutes without separating speed from data integrity.
Data from procurement, research and development, marketing, manufacturing, finance, and external reporting flows into the AI-enabled data-management layer and verified repository. Scenario-analysis logic and agentic loops recalculate glidepaths, check completeness, detect anomalies, and draft insights; outputs are then routed to human reviewers or advanced to the next step for sustainability teams and leaders.
An agent will assess data, check for completeness and detect anomalies, allowing team members to surface more consistent insights faster.
Scenario analyses that once took weeks now run in minutes, freeing PepsiCo’s professionals to focus on higher-value activities.
We started by creating a visualization of 500 nodes representing the processes, data sources and decision points that make pep+ run.
What started as linear workflows transitioned to 17 AI-forward, agentic-driven loops.
With the help of PwC, PepsiCo built an interactive blueprint for automated scenario analysis that can recalculate glidepath projections in real time as variables change.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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