HAVE AN ERROR-FREE POLICY TRANSACTION PROCESS IN APPLIED EPIC IN JUST 4-6 WEEKS.

Automate your transactional process with a digital worker who can work 24/7.

How We Do It

Eleviant’s policy transaction automation bot opens the email and downloads the policy transaction report. It logs in to Applied Epic, searches for each policy in the report, validates the data available in the line of business, and updates annualized/estimated premium and commission values based on the data available on the downloaded report. The bot completes the process by selecting the account manager’s name and primary producer in PR/BR and notifying the account manager once all the transactions are completed.

See The Bot In Action

The Need For Automation

The policy transaction process in Applied Epic involves lots of data validation work that’s time-consuming moreover highly repetitive. And, when the transactional volume increases, so does the chance of errors. Eleviant’s digital worker completely automates the policy transaction process, from downloading reports from email to notifying account managers after process completion. Our bot completes the process, only faster and more accurately, so your team can spend more time on high-value tasks.

Numbers That Speak For Themselves

2X

Faster process

3000+

Policies transacted per month

100%

Accuracy

100%

Error free

$15000

Worth of productive hours saved every month

100%

Automated

Numbers That Speak For Themselves

2X

Faster process

3000+

Policies transacted per month

100%

Accuracy

100%

Error free

$15000

Worth of productive hours saved every month

100%

Automated

Carriers We Support

Our bot readily integrates with your Applied Epic system and can extract statements from popular carriers including Travelers, W.R Berkley, Markel and many more.

Why Eleviant

With over a decade of automation experience, we design, develop, and deploy bots tailored to the unique process needs of businesses across industries, saving time and money while improving operational efficiency.
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