EverAfter Features

Allows users to simultaneously collaborate on a document within the application.

Stores different versions of a document.

Allows users to provide an e-signature within the platform.

Allows businesses to request files from clients.

Allows businesses to solicit feedback on projects or documents from clients.

Provides billing and invoicing within the application.

Provides internal and/or external instant messaging capability.

Offer project management features like task creation and tracking within the application.

Offer analytics concerning productivity or client engagement.

Allows businesses to track time spent on projects within the application.

Provides a mobile application.

Provide customizable workflows for onboarding activities and tasks.

Include templates for onboarding project plans and documents.

Generate checklists to monitor the prograss of onboarding projects.

Track tasks, project, and dependencies using timeline views or GANTT charts.

Allocate resources to tasks and projects, and track their costs.

Manage onboarding documents, training materials, and other content.

Assign and track onboarding tasks to internal and external stakeholders.

Identify trends and analysis that can be used to optimize onboarding.

Provider a portal for customers and external users to collaborate and share documents.

Include features to keep customers engaged such as internal communications.

Create white-label portals by customer, product, or project.

Provide multiple levels of visibility accrosss all onboarding stages.

Allow internal and external users to collaborate without loging into the system.

Generates a score that represents the likelihood of customer churn and customer satisfaction.

Catalogues and organizes a profile for each customer where every data point is attributed to.

Set alerts for customer profiles in need of urgent attention and resolution.

Service quality is measured in real time to provide alerts to case managers on opportunities for improvement

Provides dashboards and reports to describe profiles and trends.

Measures the business value of each customer and their contribution to the company bottom line.

AI technologies like NLP, NLU, and/or NLG are used to analyze and process text provided by customer interactions.

The product automatically discerns customer sentiment from text and/or calls for proactive action.

Calculates the likelihood of your customers continuing to use your product or leaving.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.