【Business Innovation Series】
Fast Track Document Management with AI-Powered Capture and Flow Service
Artificial intelligence is here to stay, and organizations have everything to gain from adding AI on the team.
AI adoption results in increasing revenues, benefiting Marketing and Sales, Manufacturing, and Service Operations departments the most.[i] One AI implementation improved productivity and processing capacity, reducing business costs by up to 70 percent.[ii]
AI-based tools like robotic process automation and machine learning can augment processes,[iii] help workers to improve job performance,[iv] and free them up for more high-value work.[v]
Consider the document capture process: scanning paper documents, manually naming each file and double-checking for errors can be a tedious, morale-sapping chore for your most highly-valued workers.
FUJIFILM Business Innovation Hong Kong offers an AI-powered Capture and Flow Service that automates the entire process: from document capture to classification to workflow automation.
The Capture and Flow Service leverages machine learning to fast-track document capture. Once paper documents are digitalized on FUJIFILM Business Innovation Multifunction Printers, the Capture and Flow Service detects and classifies the documents, automatically extracts important data, routes it to the relevant personnel, and summarizes it for easy management review.
As it’s built on the cloud-based Microsoft Azure platform, the Capture and Flow Service is endlessly scalable and highly secure against cyber-attack; the AI engine also improves its accuracy as it learns from experience. And by reducing worker intervention in the process, the Service cuts human error down to a minimum.
It’s a win-win for everyone: rank-and-file liberated from tedious tasks, high-quality document analysis and insights for management, all at a manageable cost thanks to the Capture and Flow Service’s flexible subscription model.
[i] "Global AI Survey: AI proves its worth, but few scale impact." McKinsey & Company. McKinsey & Company, 2020. https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact.
[ii] “Robotics and intelligent automation.” EY. Ernst & Young Global Limited, June 7, 2018. https://www.ey.com/Publication/vwLUAssets/ey-robotics-and-intelligent-automation-power-of-human-and-machine/$FILE/ey-robotics-and-intelligent-automation.pdf.[iii] "Using AI to Succeed in the New Business Process Era." Accenture Operations. Accenture, 2017. https://www.accenture.com/_acnmedia/PDF-65/Accenture-Move-AI-Point-of-View.pdf.
[iv] Jimenez, Javier. "5 Ways Artificial Intelligence Can Boost Productivity." Industry Week. Endeavor Business Media, May 22, 2018. https://www.industryweek.com/technology-and-iiot/article/22025683/5-ways-artificial-intelligence-can-boost-productivity.[v] Davenport, Thomas H. and Ronanki, Rajeev. "Artificial Intelligence for the Real World." Harvard Business Review. Harvard Business School Publishing, January–February 2018. https://hbr.org/2018/01/artificial-intelligence-for-the-real-world.