Team-GPT is a team-first AI workspace connected to your knowledge: - Project-based workspace made for collaboration and knowledge sharing - Streamline work with pre-made prompts and templates - Chat with any AI model and track AI adoption. Trusted by industry leaders like Salesforce, Maersk, Charles Schwab, EY, Yale, and Johns Hopkins University, we are at the forefront of the AI transformation in the workplace. Join us in shaping the future of work, where human creativity meets AI-powered productivity.
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Team-GPT is accelerating enterprise AI adoption with our innovative collaborative workspace. We're on a mission to help organizations unlock the full potential of AI across their operations securely. Our platform enables teams to: - Interact with multiple AI models in one secure environment - Organize prompts and workflows efficiently - Discover actionable AI use cases tailored to their needs With a growing user base of 45,000+ and trusted by industry leaders like Salesforce, Maersk, Charles Schwab, EY, Yale, and Johns Hopkins University, Team-GPT is at the forefront of the AI transformation in the workplace. Join us in shaping the future of work, where human creativity meets AI-powered productivity.
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The next episode in our "AI at Work" series will show marketing teams how to use Team-GPT for their daily work. Join Andre Nunes Pedro, Simona Dobreva, and Margarita Arsova of Team-GPT, who will demonstrate specific marketing processes that attendees can start using right away. #AIwebinar #AIforMarketing #MarketingWebinar #Webinars
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How Miro saves $200K per year by focusing on the right AI implementation: When evaluating where to apply AI in our recruitment process, Nick used a simple framework: impact vs. effort. He analyzed three potential areas: ? CV screening (high volume but manageable) ? Candidate sourcing (only 15-20% of our hires) ? Interview notes (23,000 scorecards written annually) The math made the decision clear: ? Each scorecard: 15-20 minutes of manager time ? Annual volume: 23,000 scorecards ? Total time cost: Massive! By implementing an AI interview note-taking solution, they are now saving approximately $200,000 in manager time annually. The lesson? When adopting AI, don't start with the quick wins. Calculate where your actual time sinks are, quantify the potential savings, and target solutions that deliver maximum impact with minimal implementation effort. What process in your organization would deliver the biggest ROI if automated? #AIImplementation #RecruitmentTech #ProductivityGains #ROIFocus
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Team-GPT转发了
CEO @ House of Growth | We Help B2B SaaS Companies Grow with Revenue-Led Content | 1x Exit |
Scaling from 80 articles per month to 160 Here is the framework ?? I have been using Team-GPT to build workflows that helped us with: - Keyword research - NLP friendly writing - Entity optimization - Content brief creation Although we are still producing human written content, AI has been a great help to make things much faster for my agency. I am dropping some of my fav prompts we are using with the platform, go check the link under comments and let me know how you like it !
The AI literacy gap is creating a silent productivity crisis in organizations. Here are 3 practical approaches to overcome resistance without alienating valuable team members: 1?? Role-specific education, not generic AI training ? For marketing: AI-driven analytics that enhance campaign performance ? For customer service: Chatbots that handle repetitive queries, freeing humans for complex issues ? For HR: Resume screening tools that complement (not replace) human decision-making 2?? Start with low-risk, high-reward implementations ? Email sorting for job applications ? AI writing assistants for initial report drafts ? Meeting scheduling automation These quick wins convert skeptics faster than any presentation could. 3?? Address concerns directly ? Job security: Clarify that AI augments work, not replaces workers ? Skills obsolescence: Provide upskilling opportunities ? Create cross-functional AI task forces to share knowledge Remember: The goal isn't AI adoption itself—it's enhancing your team's capabilities while bringing everyone along on the journey. What resistance have you encountered when implementing AI in your organization? #AIAdoption #ChangeManagement #TeamLeadership #FutureOfWork
Security and privacy are non-negotiable when deploying #AI in enterprise environments. At Team-GPT, we've built our deployment strategy to offer: ? On-premise deployment options for maximum control ? Dedicated cloud deployments on AWS, Google Cloud and Azure ? Separate accounts with restricted access permissions ? Complete visibility for client security teams ? Multi-factor authentication and robust security features For organizations concerned about sending data to OpenAI, we offer a solution: Connecting Team GPT to open-source models deployed within your environment, ensuring your data remains fully private and under your control. Every deployment includes validation by the client's technical team to verify security protocols are properly implemented. The future of enterprise AI isn't just about capabilities—it's about responsible implementation that protects your most valuable asset: your data. #EnterpriseAI #AIDeployment #DataPrivacy
What is Yavor Belakov's favorite IDE? Yavor shares his enthusiasm for Cursor, the AI-powered IDE that's rapidly becoming the tool of choice among developers. What is yours? ??
Which departments adopt AI the fastest? Nick Krekis, AI Program Manager at Miro, shares his perspective during Miro's AI transformation. "Sales, Marketing, and Recruiting teams are consistently the earliest adopters. Departments drowning in text that needs reviewing and roles with repetitive processes (BDRs, customer support) where "if you fix it for one, you can scale across all."