The Post implemented Agentic AI to read, extract, and analyze tax billed on payable invoices. By deploying an AI Agent powered by its proprietary LLMs, the company gained the capacity to validate and issue tax corrections on 100% of invoices, significantly reducing overpayments and relieving burdensome tasks from the Finance team.
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We’re not moving slowly, we’re moving with speed and scale. This technology is real. When you see the impact of Gen AI and language models on business processes, there’s only one conclusion: move fast, scale fast, don’t blink.
Customer Achievements
100%
of invoices analyzed for tax accuracy
0
tax overpayments
$1M
in automation value within year-1
Facing disruption from evolving technology, The Washington Post needed to adapt its business model to develop sustainable monetization strategies and redefine its media operations. With AWS cloud infrastructure and automation already underway, the Post could capitalize on transformational opportunities via Agentic Process Automation (APA) with speed and scale. The company identified 4 use cases ripe for gen AI and seized the opportunity to capture that business impact without blinking. In Finance, staff lacked the capacity to verify tax billed on invoices--invoice formats differed with every vendor, and the volume was simply too enormous to track. The Post implemented Agentic AI that enabled it to validate tax and issue corrections on every invoice.
The Washington Post’s go-forward strategy is “AI everywhere.” With an established in-house ML, Data and AI Analytics team, the Post is investing in packaging its proprietary LLMs to innovatively enhance customer and reader experience and generate new revenue streams by syndicating its LLM Agent’s knowledge base to other major LLMs.
The Washington Post is a tech and media company, combining world-class journalism with the latest technology and tools so readers can interact with The Post anytime, anywhere.
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