EnateAI

Powered by GPT-4
 

The future of
operations is here

The rise of large language AI models has unlocked vast potential for businesses worldwide to increase productivity, decrease time spent on repetitive tasks and focus on value-added work.

Operational excellence is an area where most businesses would like to improve but until now, attempts to operationalize AI have been limited.

Enter, EnateAI powered by GPT-4.

EnateAI

5 AI features in one

Save time, become ultra-efficient and focus on valuable work. This product is automatically integrated within Enate’s platform.

Categorization

Automatically categorize emails to create the right ticket category.

Sentiment Analysis

Identify the emotional tone of communications from your clients.

Data Extraction

Extract data from your emails and auto-populate forms.

Thank You Analysis

Know when ‘thank you’ emails need action.

Foreign Language Fluency

Understand and process foreign language emails.

Benefits of EnateAI

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Less manual tasks

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More value-added work

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90% accuracy

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Private and secure

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Included with monthly cost

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New to market

How does it work?

We’ve identified specific use-cases to boost efficiency in operations, and baked AI technology directly into Enate’s platform, eliminating the need for complex machine learning pipelines. Simply install Enate and you’re ready to go.

This product is totally private, promising the highest levels of security and governance. It’s powered by the Microsoft Azure OpenAI Service so customers have their own private network.

Wave goodbye to complex MLops

Traditionally, Operations Teams have had to spend vast sums of money purchasing, training and testing AI MLops from a third-party vendor to solve specific use-cases with low accuracy.

EnateAI allows you to remove the complexity and cost of paying for third-party AI vendors and training machine learning models. It's integrated into Enate’s platform and promises 90% accuracy.

Say “Hello” to a new era of customer success

EnateAI shifts the focus away from customer service and lets you focus on customer success. It automatically categorizes emails, extracts data, performs sentiment analysis, understands foreign languages and can automate queries.

With EnateAI

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Included in monthly cost

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Automatic - just install Enate

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5 ready-to-use features

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90% accuracy

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No MLops needed

Without EnateAI

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£££

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3 month implementation

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1 feature per MLop

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70% accuracy

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Machine learning pipeline needed

A word from the experts

A profile picture of Kit Cox founder of Enate

Kit Cox

Founder at Enate

”At Enate, our mission is to help businesses run operations smoothly and work smarter and faster by leveraging the latest technology. We’ve recognised an opportunity to integrate large language models within Enate's platform which will enable businesses to use AI in operations, in a way that’s never been done before.  

We’re really excited to help businesses slash the time spent on boring, repetitive tasks such as thank you analysis and email triage so they can be lazer-focused on customer success. The first iteration of EnateAI powered by GPT-4 focuses on communication, but we’re just getting started. It’s the end of customer service, and start of customer success, which is not to service the customer, but to delight the customer. ”

James Chadwick, GPS ISV Director at Microsoft, endorsing EnateAI, the new AI-driven operations platform by Enate.

James Chadwick

GPS ISV Director at Microsoft

“The rise of large language models will be a catalyst for the productivity boom in coming years but operationalising AI for service delivery has been hard until now.

Enate’s solution will help businesses to save valuable time and money on resources and training while simultaneously improving operational efficiency and employee satisfaction. We are pleased to work with Enate to bring the privacy and security benefits of Microsoft Azure OpenAI Service to service providers.”

Install Enate to get started

EnateAI is available to all existing Enate customers. Install our process orchestration platform today to maximize AI-led operational efficiency.