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What is Tango?

Tango is a modern digital adoption platform designed to help teams document, guide, and automate their workflows. It uses a browser extension to capture processes in real time as users complete tasks. Tango automatically generates clean, step-by-step guides with screenshots, highlights, and customizable instructions. These guides can be pinned directly inside applications to deliver help at the exact moment it’s needed. On-screen walkthroughs allow teammates to complete workflows confidently and without mistakes. Tango supports embedding guides into knowledge bases, learning management systems, and customer support tools. The platform can also convert guides into automations to eliminate repetitive clicking, typing, and form filling. Analytics dashboards provide visibility into usage, completion rates, and friction points. This insight helps teams continuously improve processes and training materials. Tango works across major CRM, ERP, and HRIS systems without requiring integrations. Organizations use Tango to standardize processes, onboard employees faster, and support customers more effectively. Overall, Tango solves the last mile of adoption by ensuring processes are followed correctly at scale.

What is Skippr?

Skippr serves as a real-time AI assistant that possesses the ability to see, communicate, and engage with software, thereby streamlining the onboarding, activation, and immediate support of users. It can be effortlessly integrated into a product with just two lines of code, granting each user access to a voice agent that addresses inquiries with contextual responses and provides personalized walkthroughs, all while performing tasks without requiring significant changes to existing systems or data transfers. By persistently monitoring the application and its knowledge base, Skippr guarantees that its information stays current and in sync with the latest developments of the product. When conducting interactive voice and screen sessions, it tailors its responses to the user’s unique needs and goals, avoiding a generic approach that may not suit everyone. Its innovative Click-for-you feature allows it to take control of the pointer to complete forms or navigate through multi-screen tasks while ensuring the user remains actively involved in the process. Furthermore, thanks to its direct API and MCP integrations, it can execute tasks more quickly than conventional UI-only agents, enhancing overall efficiency. Teams can customize various communication methods such as push-to-talk, voice-only interactions, in-app messaging, guided tutorials, spontaneous support, and on-screen annotations, which significantly boosts user engagement and support efficacy. This level of versatility not only enriches user experiences but also contributes to greater operational productivity, making Skippr an essential asset for any organization aiming to optimize its user support processes. Ultimately, its proactive approach to user interaction reshapes the landscape of customer service and onboarding.

Media

Media

Integrations Supported

Box
CommuteHub by RideAmigos
Confluence
Genius Referrals
Google Sheets
HTML
HubSpot CRM
HubSpot Customer Platform
Jira
Markdown
Microsoft SharePoint
Microsoft Teams
Microsoft Word
Notion
Salesforce
Slack
Zendesk

Integrations Supported

Model Context Protocol (MCP)
Skippr Mentor

API Availability

API Availability

Has API

Pricing Information

$22/month
Free Version
Free Trial Offered?

Pricing Information

$149 per month
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Tango.ai

Company Location

United States

Company Website

www.tango.ai/

Company Facts

Organization Name

Skippr

Date Founded

2023

Company Location

United Kingdom

Company Website

www.skippr.ai/

Categories and Features

Categories and Features

AI Agents

Not specified

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