About CallScripter
The CallScripter team consists of enthusiastic Call Centre Professionals who all have in depth knowledge of the industry, from both a suppliers and an end user perspective. We believe in developing our own staff through the organisation and many of the team initially worked within Ansaback, allowing them to gain an understanding of how a modern contact centre works before graduating into the software arm of the business. This allows us to fully understand the issues facing our customers and in some cases, we even pre-empt requests for new functionality as we see the same needs within our own contact centre.
This provides us with a major unique selling point - CallScripter has been developed based upon real experience and real knowledge of a demanding call centre environment.
Our current client list consists of companies from a wide range of industries including Outsourcers, Financial Services, Helpdesk, Telemarketing, Internet Providers, Accident Management and Charities.
Key Drivers
CallScripter delivers benefits in many different ways, however the three most common areas CallScripter can provide return on investment are:
Compliance:
In heavily regulated industries, scripting is essential in ensuring best practices and compliance regulations are constantly and consistently adhered to.
Implementing CallScripter:
- Ensures best practice
- Ensures consistency
- Ensures adherence to regulatory procedures
- Ensures all data is captured correctly & accurately
Multi Tasking
Contact centre agents are often expected to work with many different applications/campaigns during a single shift.
CallScripter:
- Provides agents with relevant knowledge at the appropriate times
- Allows agents to rotate across campaigns without specific training
- Guides agents through the communication process allowing them to concentrate on the customer
Agent Training
CallScripter's flexible architecture allows it to act as a "dashboard", connecting all the applications to one single point of entry resulting in:
- Reduced training time for agents
- Uniformed approach to training schedule
- Controlled learning structure