Invoice disputes took days across disconnected systems. An AI assistant now researches and classifies each case; specialists just decide.
A 150-year-old consumer goods and industrial adhesives manufacturer with operations spanning 75 countries and one of the world's largest SAP Business AI Platform deployments.
As agentic AI became a strategic priority, the centralized data lake model created a two-part problem: AI agents worked from batch-extracted data...
Producer of adhesives and consumer goods like personal care and laundry products.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Henkel's Invoice disputes is part of this use case:
Related implementations across industries and use cases
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
AP teams fielded supplier invoice queries by hand; delivery dates from emails had to be keyed into the ERP. AI agents handle both now.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
AP teams fielded supplier invoice queries by hand; delivery dates from emails had to be keyed into the ERP. AI agents handle both now.
Invoice disputes took days across disconnected systems. An AI assistant now researches and classifies each case; specialists just decide.
A 150-year-old consumer goods and industrial adhesives manufacturer with operations spanning 75 countries and one of the world's largest SAP Business AI Platform deployments.
As agentic AI became a strategic priority, the centralized data lake model created a two-part problem: AI agents worked from batch-extracted data...
Producer of adhesives and consumer goods like personal care and laundry products.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Henkel's Invoice disputes is part of this use case:
Related implementations across industries and use cases
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
AP teams fielded supplier invoice queries by hand; delivery dates from emails had to be keyed into the ERP. AI agents handle both now.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
AP teams fielded supplier invoice queries by hand; delivery dates from emails had to be keyed into the ERP. AI agents handle both now.