Scribed AI is an AI-native Super CRM that combines three powerful pillars: a full-featured CRM with deal pipelines and contact management, Slack-level team chat with channels, DMs, and threading, and Asana-level project management with kanban boards and AI copilot. On top of that, you get a built-in power dialer, AI meeting transcription, booking & scheduling, 200GB file drive, and an AI assistant. It's the CRM that does everything.

How is Scribed different from other CRMs?

Traditional CRMs manage contacts and deals — that's it. You still need Slack for messaging, Asana for projects, and a dialer for calls. Scribed combines all three into one AI-native platform: a powerful CRM, Slack-like team chat with channels and threading, and kanban project management. Then it layers on a power dialer, AI transcription, booking pages, 200GB file drive, email generation, and an AI assistant that searches across everything. Your contacts, conversations, tasks, and files all live in one place.

How does the free trial work?

You get full access to the Standard plan for 30 days. This includes unlimited transcriptions, AI chat, team workspaces, CRM, project backlogs, power dialer with 1,000 minutes, booking pages, file drive, notes, email generation, and all platform features. After the trial, simply choose a plan to continue.

What's included in the Standard plan?

The Standard plan includes everything: unlimited transcriptions and AI chat, organizational workspaces with Slack-like team messaging, full CRM with unlimited contacts and pipelines, project backlogs with kanban boards, 200GB file drive, 1,000 calling minutes with power dialer, 1 free phone number per workspace, booking & scheduling pages, personal notes, AI email generation, smart search, integrations, and more. Add-ons like extra workspaces, phone numbers, and premium support are available as needed.

What is the Power Dialer?

The built-in power dialer lets you make calls directly from Scribed with call recording, call metrics, and analytics. You also get AI agent calls via Vapi integration for automated outbound calling. The Standard plan includes 1,000 calling minutes and 1 free phone number per workspace. Additional phone numbers are $4.99/month each, and call overage is $0.08/minute.

Does Scribed include scheduling and booking?

Yes! Scribed includes a full booking and scheduling system. Create public booking pages with customizable event types, manage availability, and let clients RSVP directly. You can create both personal and team booking links, approve or reject bookings, and sync everything with Google Calendar. No need for a separate tool like Calendly.

What integrations are available?

Scribed integrates with Google Calendar, GitHub, Slack, Asana, Pipedrive, and Vercel — with more integrations coming soon. We also offer a developer API with API keys and webhooks for custom integrations, plus a browser extension for quick access. Enterprise plans include SSO and advanced security.

How does seat-based pricing work?

The Standard plan has a base price that includes your core platform access, plus a per-seat cost for each team member. Annual billing saves you compared to monthly. You can add or remove seats at any time as your team grows.

What about Enterprise?

Enterprise plans include unlimited everything — storage, organizations, members, calling minutes, and phone numbers. You also get dedicated support, custom onboarding, white-labeling options, SSO & advanced security, SLA guarantees, and data migration assistance. Contact our sales team for custom pricing.

AWS's AI Ambitions: Navigating Trust and Innovation

Introduction

Amazon Web Services (AWS) is taking bold steps to redefine its role in the rapidly evolving AI landscape. With recent announcements at re:Invent 2025, AWS is not just focusing on infrastructure but is actively enhancing its AI capabilities. This move is crucial as AWS seeks to build trust and credibility in a competitive field dominated by established AI players.

AWS's Strategic AI Investments

New AI Agent Tools

AWS unveiled a suite of AI agent tools designed to meet the needs of enterprise clients. These tools aim to streamline AI integration and deployment, showcasing AWS's commitment to facilitating AI-driven innovation. By offering such specialized tools, AWS is positioning itself as a comprehensive solution provider in the AI ecosystem.

Third-Gen Chip Introduction

The introduction of a third-generation chip highlights AWS's dedication to technological advancement. This chip is designed to enhance performance and efficiency, critical factors in processing AI workloads. By developing its hardware, AWS can optimize the synergy between its software and hardware offerings, providing a seamless experience for its users.

Developer Incentives

AWS is rolling out database discounts to attract developers, recognizing their pivotal role in the adoption of new technologies. By reducing costs and offering competitive advantages, AWS aims to foster a loyal developer community that can drive further innovation and expansion of its AI services.

Competitive Landscape

The AI industry is fiercely competitive, with established leaders setting high standards. AWS's challenge lies in catching up to these frontrunners while differentiating itself. Its focus on enterprise AI and developer incentives is a strategic move to carve out a unique position in the market.

Building Trust Beyond Infrastructure

AWS's reputation has been built on its reliable infrastructure services. However, to succeed in the AI domain, AWS must demonstrate its prowess in AI innovation and application. Trust and credibility in AI will not only boost AWS's market position but also expand its reach into new customer segments.

Implications for the Cloud Industry

Innovation and Advancement

AWS's investments in AI have the potential to drive significant advancements in cloud computing. By integrating AI capabilities, AWS can offer more sophisticated, intelligent solutions, enhancing overall industry offerings.

Market Position and Growth

Success in AI will directly impact AWS's growth trajectory. As enterprises increasingly adopt AI, AWS's ability to meet these demands will determine its competitive edge and market share.

Opportunities for Developers and Enterprises

Developers stand to benefit from AWS's AI focus, gaining access to cutting-edge tools that can solve complex challenges. Enterprises can leverage these advancements to optimize operations and unlock new business opportunities.

Future Predictions and Recommendations

Continued Innovation

AWS must sustain its innovation drive, continually upgrading its AI tools and services to stay ahead. Strategic partnerships and collaborations could further enhance its capabilities.

Focus on Trust and Transparency

Building trust in AI requires transparency in operations and outcomes. AWS should prioritize ethical AI practices and clear communication to establish itself as a trusted leader in the AI space.

Conclusion

AWS's journey into the AI realm is marked by strategic investments and a focus on innovation. By addressing the challenges and seizing opportunities, AWS can redefine its role in the cloud industry, offering transformative solutions that benefit developers, enterprises, and the broader market.

AWS's AI Ambitions: Navigating Trust and Innovation

Introduction

AWS's Strategic AI Investments

New AI Agent Tools

Third-Gen Chip Introduction

Developer Incentives

Competitive Landscape

Building Trust Beyond Infrastructure

Implications for the Cloud Industry

Innovation and Advancement

Market Position and Growth

Success in AI will directly impact AWS's growth trajectory. As enterprises increasingly adopt AI, AWS's ability to meet these demands will determine its competitive edge and market share.

Opportunities for Developers and Enterprises

Future Predictions and Recommendations

Continued Innovation

AWS must sustain its innovation drive, continually upgrading its AI tools and services to stay ahead. Strategic partnerships and collaborations could further enhance its capabilities.

Focus on Trust and Transparency

Building trust in AI requires transparency in operations and outcomes. AWS should prioritize ethical AI practices and clear communication to establish itself as a trusted leader in the AI space.

AWS's AI Ambitions: Navigating Trust and Innovation

AWS's AI Ambitions: Navigating Trust and Innovation

Introduction

AWS's Strategic AI Investments

New AI Agent Tools

Third-Gen Chip Introduction

Developer Incentives

Competitive Landscape

Building Trust Beyond Infrastructure

Implications for the Cloud Industry

Innovation and Advancement

Market Position and Growth

Opportunities for Developers and Enterprises

Future Predictions and Recommendations

Continued Innovation

Focus on Trust and Transparency

Conclusion

Comments (0)

CRM, team chat, and projects — finally in one place.

Plus a power dialer, AI transcription, booking, file drive, and an AI assistant. Try Scribed free for 30 days.

AWS's AI Ambitions: Navigating Trust and Innovation

AWS's AI Ambitions: Navigating Trust and Innovation

Introduction

AWS's Strategic AI Investments

New AI Agent Tools

Third-Gen Chip Introduction

Developer Incentives

Competitive Landscape

Building Trust Beyond Infrastructure

Implications for the Cloud Industry

Innovation and Advancement

Market Position and Growth

Opportunities for Developers and Enterprises

Future Predictions and Recommendations

Continued Innovation

Focus on Trust and Transparency

Conclusion

Comments (0)

CRM, team chat, and projects — finally in one place.

Plus a power dialer, AI transcription, booking, file drive, and an AI assistant. Try Scribed free for 30 days.