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Latest Recruiterflow AI Videos

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... 31:31
AI-First Recruiting – How Recruiterflow is Changing the CRM Game

RecTalk Podcast - Explore Recruitment Insights

1+ months ago 1K views

Recruiter Flow is an AI-driven recruitment operations software designed for staffing firms, particularly in mid-market segments. It integrates various communication channels to automate tasks and enhance efficiency, reducing manual data entry. The platform leverages AI for data enrichment, call summarization, and job change alerts. By automating administrative tasks, it allows recruiters to focus on relationship building and strategic decision-making instead of data management, thus improving productivity and enhancing client engagement. The transition to AI-driven processes aims to elevate recruitment practices and provide actionable insights through effective data utilization.
11:04 - 11:47

Recruitment decision-making gains efficiency through AI-driven data insights and patterns.

Recruiterflow Machine Learning AI Startups
... 36:11
This AI Automation Finds Clients Who Actually Need Your Services!

Work Smarter

1+ months ago 1K views

Automating lead generation using AI tools can significantly streamline workflows and enhance productivity. By leveraging platforms like Na10 and Apollo, one can build a robust automation system that collects job postings, retrieves verified contact information, and crafts personalized outreach emails tailored to specific company needs. This process involves scraping job listings, verifying emails through tools like Million Verifier, and integrating into an AI-powered CRM. The demonstration outlines each step to set up this automation, emphasizing its efficiency and effectiveness in driving engagement without the need for expansive hiring.
05:26 - 05:50

Understanding company needs through job postings for effective solutions.

Machine Learning AI Startups
... 13:52
Automating Sales: Inside My Go High Level Workflow with Voice AI

Chris M Parker

1+ months ago 6K views

The workflow leverages a Facebook advertising campaign to guide leads through an automated sales process using Go High Level and voice AI. When potential clients express interest by filling out a lead form, they are tagged and entered into a sales funnel that includes automated SMS messages, emails, and calls through a voice AI agent. The process tracks engagement and responses, adjusting communication strategies based on client interest levels. The goal is to nurture leads through multiple touchpoints to facilitate conversions while considering the different preferences in communication amongst potential clients.
05:31 - 07:28

Discussion on creating longer-term workflows to nurture less responsive leads.

Go High Level Voice Recognition Digital Media
... 12:23
Set Up an AI LinkedIn Inbox in Just 11 Minutes! [Free n8n Template]

n8n

1+ months ago 2K views

Max introduces Linked Out, a self-hostable AI-powered LinkedIn inbox built using Oumnya Benhassou's collaboration with n8n, bolt.DIY, pocketbase, and unipile. This tool generates AI drafts, identifies decision points for replies, and includes text snippets for frequently used links. The backend, designed using n8n, offers a user-friendly setup experience, even for non-developers. Users can customize their inbox, add functionality like sentiment analysis, or utilize automation features, making it a versatile tool for LinkedIn interactions. The developers also released a documentary detailing the creation process for interested users.
01:20 - 01:29

Documentary release on the development of Linked Out for further insights.

Natural Language Processing (NLP) Tech & Hardware
... 13:10
How to Build Your First AI Agent Team in 10 Minutes (No Code, Relevance AI)

Bot Nirvana

1+ months ago 2K views

Build a multi-agent AI system for sales automation using Relevance AI. Create three agents: a manager that receives requests and delegates tasks, a person info agent that gathers individual data from LinkedIn, and a company info agent that collects corporate information. Set up triggers based on email subjects to streamline requests. Follow a four-step approach to implement the system, enhancing efficiency in sales by automating data collection and response processes for sales teams.
01:12 - 01:24

Designing a multi-agent team to address sales challenges.

Relevance AI Machine Learning Education
... 59:42
We Built An AI LinkedIn Inbox with n8n and bolt.DIY [The Making of LinkedOut]

n8n

1+ months ago 2K views

Max, the original Flowgrammer, discusses the challenges of managing his LinkedIn inbox while maintaining authenticity in interactions. Partnering with fellow Flowgrammer Umnia in Dubai, they aim to build a solution that smartly integrates AI to enhance personal communication without losing the human touch. While addressing issues related to filtering messages and navigating negotiations, they seek to create a tool that organizes and prioritizes messages effectively. The project underscores the importance of balancing technology with genuine user engagement and ensuring privacy in communication.
02:25 - 02:47

Explores the frustrations of filtering important messages amidst unimportant ones.

n8n Chatbots Tech & Hardware
... 24:28
Go Beyond ChatGPT: Diaflow AI App Builder LTD

Dave Swift

1+ months ago 2K views

To integrate AI efficiently into business operations, Diaflow offers a no-code solution for building internal tools. Users can create automations, chatbots, and apps that leverage AI models to improve workflows and customer interactions. The platform features an automation system reminiscent of Zapier, allowing users to trigger actions using various integrations. Diaflow also supports customization with templates for internal tools and chat agents, enhancing the organization’s ability to utilize its data effectively. The app is currently available as a lifetime deal on AppSumo, making it accessible for businesses seeking to streamline processes with AI technology.
06:52 - 07:06

Data storage in Diaflow supports three types: tables, drive, and vectors.

Diaflow Chatbots AI Startups
... 7:13
Mercor CEO Brendan Foody on $2 billion valuation, streamlining hiring with AI

CNBC Television

1+ months ago 2K views

AI startup Mercor has raised $100 million in Series B funding, increasing its valuation to $2 billion from $250 million in just four months. The company's technology automates the hiring process by leveraging AI to analyze resumes and interview transcripts, predicting candidate performance with greater accuracy than human evaluators. Mercor's models are widely used in top AI labs for identifying talent across various fields, enhancing recruitment efficiency. With the new funding, Mercor plans to expand its talent pool and improve its AI vetting technology to enhance performance predictions.
01:30 - 01:56

Excels at analyzing text-based data for various job roles.

Mercor Machine Learning AI Startups
... 7:13
Mercor CEO Brendan Foody on $2 billion valuation, streamlining hiring with AI

CNBC Television

1+ months ago 2K views

AI startup Mercor has raised $100 million in Series B funding, increasing its valuation to $2 billion from $250 million in just four months. The company's technology automates the hiring process by leveraging AI to analyze resumes and interview transcripts, predicting candidate performance with greater accuracy than human evaluators. Mercor's models are widely used in top AI labs for identifying talent across various fields, enhancing recruitment efficiency. With the new funding, Mercor plans to expand its talent pool and improve its AI vetting technology to enhance performance predictions.
01:30 - 01:56

Excels at analyzing text-based data for various job roles.

Mercor Machine Learning AI Startups