Process Automation

Automates repetitive operational work such as document uploads, manual transactions, and report requests.

Business impact

• automation rate — Deutsche Bank says its RPA achieved anywhere from 30 percent to 70 percent automation in the functions it tested.
• manual work — Radisson reports that automation cut manual work in half for ad creation, localization, and translation.
• quality — Deutsche Bank says automation improves quality because machines make fewer errors.
• risk — Deutsche Bank says automation decreases risk because machines make fewer errors.

Data requirements

• transaction data (tabular) — Used by RPA in banking operations.
• document data (text) — Machine learning is used to recognize document types and scan unstructured data.
• SAP data (tabular) — NotCo's chatbot accesses sales, inventory, and other SAP information.
• operational and customer data (tabular) — Radisson trains its system on a unified enterprise and customer dataset.

AI methods and techniques

• robotic process automation — Used to automate manual transactions and other rule-based back- and mid-office tasks.
• machine learning — Used for more nuanced tasks such as recognizing document types and scanning unstructured data for specific information.
• conversational AI — Used at NotCo so users can ask questions about operational data in natural language.
• script generation — Used in the DoorDash example to build a script that automates document uploads.

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: DoorDash, Deutsche Bank, NotCo, Radisson Hotel Group.