How It Works:
The Proliferation of Unstructured Data in Today’s Enterprise
Enterprise companies deal with massive data sets. In a typical company, over 80% of enterprise data is unstructured.
This data is stored in many forms, from emails, documents, images, social media conversations, and more, growing at more than 55% per year.
This data needs to be analyzed to improve business operations and customer service.
Every customer conversation contains valuable information about the customer’s preferences and needs, and the company’s products, services, and processes.
Email is the most popular communication medium between a company and its external customers and vendors. 95% of customer service teams use email to communicate with customers.
According to the Radicati Group, over 130 Billion B2B emails are sent daily, and this number continues to grow.
With billions of dollars lost annually due to poor customer service and experience, understanding what your customers want, recognizing their intent automatically, and handling incoming service requests at scale, have never been more critical for enterprise companies.
Business Emails Sent Daily
SmartBots Use Natural Language to Understand Accounting Emails
What Should be Automated?
It has become critical to unlocking the value in business communications by mining, monitoring, and extracting context and semantics from the unstructured data in email and other communications methods.
Then, using AI/ML and Natural language technologies, the ability to take automated action once intent detection is complete is the holy grail of customer service and fulfillment. These are often referred to as “last-mile-workflows” in the business world.
The hallmarks of the new era of technology include leveraging AI-driven last-mile workflows and decision support across the massive volumes of data that the enterprise generates.
This approach means augmenting people and human operators with intelligent automation, delivering insights consumable in multiple form factors, and enabling the business to be responsive to customer and vendor needs at all times.
AI-powered Automation transforms your finance office. It improves accuracy and accelerates decision-making by delivering critical insights in minutes while minimizing errors in executing essential business tasks.
Natural Language ML/AI – Three Key Functional Pillars
Auditoria built a library of intent categories—and sub-intents within these categories—to determine specific actions according to intent-matching outcomes.
Email Intent Analysis
Context-aware, intent understanding, and relevance filtering
- Interpret emails written in plain English
- Extract the meaning (“intent”) of the messages
- Extract data points communicated in the messages
- Take actions as configured
Fully-automated contextual email replies and dialogue flows based on SmartFlow Skill themes
Streamlined handover to human process as needed and takeover of human-operator-initiated communication when authorized
Intelligent Document Processing
Embedded info extraction from email body and attachments through Auditoria’s proprietary “form-extractor” service
Seamlessly document processing in large volumes and large sizes with precision, accuracy, and industry-leading performance
Natural Language Processing (NLP) and Understanding (NLU)
Attachments come through the shared email inboxes as invoices or other forms.
The advanced technology recognizes what is attached, classifies it for relevance, converts it to a data object, and extracts appropriate info.
If a response is needed, the technology responds accordingly.
Auditoria delivers domain-specific meta-language enhancements for scalability that supports execution across SmartFlow Skills and forms.
The advanced NLP /NLU technology provides ML-driven predictions based on stakeholder interaction.
Auditoria’s Natural Language Strategic Benefits for Intelligent Applications
ML/AI Abstraction Layers
Intelligent Semantic Layer
The Auditoria semantic layer handles some of the uncertainty of the latest advanced models, reading the inputs and outputs and aggregating them to take the higher level algorithm and compose it into the specific machine code for the appropriate output.
Interested in Learning More?
We’d be happy to help you understand how Auditoria SmartBots transform your Finance and Accounting functions.