Integrations

Supercharge Flash By Velora AI with Relevance AI

Flash by Velora AI is an AI copilot designed for product and growth leaders to analyze customer feedback and meeting transcripts. By integrating with Relevance AI, teams can automate the processing of feedback and transcripts, turning raw data into valuable insights.

Give your AI Agents Flash By Velora AI Superpowers

Flash by Velora AI empowers product and growth leaders to derive insights from customer interactions. With Relevance AI, these insights are transformed into actionable strategies through intelligent AI Agents that analyze and respond to data in real-time.

Intelligent Content Orchestration

Empowers AI agents to dynamically generate and optimize content across multiple channels while maintaining brand consistency

Dynamic Personalization Engine

Empowers agents to deliver tailored content experiences based on real-time user behavior and engagement data

Automated Workflow Acceleration

Supercharges agents with streamlined content creation and optimization processes that reduce production time by 70%

Tools

Equip AI Agents with the Flash By Velora AI Tools they need

Relevance AI seamlessly integrates with Flash by Velora AI to enhance your workflows by automating feedback analysis and transcript processing.

Flash (by Velora AI) - Add Feedback
Enables adding and managing customer feedback within Flash, including details like upvotes, contact information, and feedback metadata for product and growth analysis
Flash (by Velora AI) - Upload Transcript
Facilitates the upload of meeting transcripts to Flash, supporting multiple file formats and source systems for analysis and processing
Flash (by Velora AI) - Upload Transcript
Facilitates the upload of meeting transcripts to Flash, supporting multiple file formats and source systems for analysis and processing
Name
Flash (by Velora AI) API Call
Description
Make an authorized request to a Flash (by Velora AI) API
Parameters
["OAuth Account Authentication", "HTTP Method Selection", "Custom Request Headers", "Request Body Configuration", "API Path Specification"]
Use Case
An e-commerce platform uses Flash API integration to automatically process and analyze customer feedback across multiple channels, enabling real-time sentiment analysis and trend identification. This helps them quickly identify product issues and improve customer satisfaction by routing urgent concerns to the appropriate teams.

Security & Reliability

Flash by Velora AI is an AI copilot that empowers product and growth leaders to efficiently analyze customer feedback and meeting transcripts. This integration leverages a robust API interface for automated feedback processing and transcript analysis, enabling teams to extract actionable insights from customer interactions.

With secure OAuth-based authentication, the integration ensures that only authorized workflows can access your data, while handling API operations seamlessly in the background—eliminating concerns about errors, formatting, or limits.

Built-in validation and type conversion guarantee that your workflows operate smoothly, even when dealing with varying data formats.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Flash by Velora AI + Relevance AI integration without writing code:
  • Start with clear feedback and transcript formats: Ensure that customer feedback and meeting transcripts are structured consistently for better analysis.
  • Utilize automated feedback processing: Leverage Flash's capabilities to automatically process and analyze customer feedback for actionable insights.
  • Secure your OAuth credentials: Keep your OAuth tokens safe and do not expose them in public repositories.
  • Test API calls with sample data: Use test data to validate your API calls before implementing them in a production environment.
  • Monitor API usage: Be aware of rate limits and implement error handling to manage requests efficiently.