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ERC's Virtual Agent

ERC’s multi-channel Virtual Agent provides 24×7 inbound and outbound support to augment sales, customer care and recovery solutions. Eva meets with customers in their preferred channel through speech, text or digitally, face-to-face to reduce customer effort and operating costs.

AT LEAST 1,500

conversations per month are handled by our virtual agent, EVA.


after we included virtual agent support to our already existing chat service.


Our virtual agent, EVA has been able to reduce resolution time from potentially hours to minutes.

OVER 40%

of customer inquiries can be answered with zero human intervention.

Source: Partner Research and Survey Data Analysis.

EVA is multi-channel

June 2017

ERC enlists EVA to help users in a new era with advanced Voice technology, helping customers make easy payments over the phone.

February 2020

ERC adds Chat skills to EVA’s repertoire to handle customer questions via web. With Chat, EVA supports customers with payments, job applications and sales-related inquiries. She also generates a database with the information provided by the users

June 2021

EVA, the enhanced AI Virtual Agent, can now interact face-to-face and she is front and center to help guide engagement with customers and prospects.

EVA can be trained to support any business need.

Below are some ways EVA is helping today. Talk to her face-to-face or connect with one of our experts to see how EVA can help your brand.

Bootstrap Example

Provide general information

Book a meeting

Negotiate and settle debts

Tailor content for your business

Process payments

Authenticate accounts

Book an appointment

Train your employees

The options are limitless


EVA uses artificial intelligence to handle diverse customer needs. EVA even expresses emotions like empathy, gratitude, and enthusiasm.

Machine Learning

EVA learns patterns and context of customer language and can utilize similar meaning phrases to put together what a customer is trying to accomplish.

Natural Learning Understanding

EVA uses NLU cognition to understand customers’ statements and to provide effective responses to move the interaction forward.

Reinforced Learning

Intent Analysts monitor interactions to determine the next step when EVA is unsure. Ongoing human input strengthens EVA’s decision-making skills over time.


EVA is ERC’s multi-channel virtual agent:
voice, chat, and now digitally… Face-to-face.

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