The Washington Post | Automation Anywhere

We’re not moving slowly—we’re moving with speed and scale. When you see the impact of GenAI and language models on business processes, there’s only one conclusion: move fast, scale fast, don’t blink.

Vineet Khosla,
Chief Technology Officer, The Washington Post

100%

invoices tax-validated

Reduced

tax overpayments

Improved

payment accuracy

Scaling Smarter Media Operations with Agentic AI

By deploying agentic AI across finance and beyond, The Washington Post redefined operational efficiency, automating complex workflows, improving accuracy, and unlocking scalable business impact.

The Challenge

Declining print revenue
High-volume invoice complexity
Inconsistent tax calculations
Limited review capacity

The Solution

Deployed agentic AI in finance
Automated end-to-end tax validation
Leveraged proprietary LLMs
Reused agents across functions

The Result

100% invoices tax-validated
Overpayments significantly reduced
Finance workload reduced
AI scaled enterprise-wide

Review products

Products used

Agentic Process Automation (APA)
AI Agents with LLM Integration
Document Automation

Explore the platform

From Newsroom Innovation to AI-Driven Operational Precision

As a leader at the intersection of media and technology, The Washington Post continues to evolve amid shifting industry dynamics. Facing declining print revenue and pressure to diversify, it turned to agentic AI to modernize operations, moving quickly to capture value. In finance, high invoice volumes, inconsistent formats, and limited capacity made tax validation inefficient. By deploying an AI Agent powered by proprietary LLMs, The Post automated tax extraction and validation across100% of invoices, reducing overpayments and improving accuracy. The same agent scaled into legal workflows, transforming a single use case into enterprise-wide automation impact.

Scaling Agentic AI Across the Enterprise

With proven success in finance and legal, The Washington Post is scaling agentic AI across the enterprise. By reusing intelligent agents and extending automation frameworks, it is accelerating innovation, reducing manual effort, and building a faster, more adaptive operating model.