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 and Power SMS campaigns, voicemail drop, AI SMS auto-reply, 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. It also includes Power SMS for bulk SMS campaigns with manual, AI-assisted, or fully automated modes, voicemail drop during auto-dial sessions, AI SMS auto-reply on inbound texts, and AI-generated personalized text messages. You also get AI agent calls via Vapi integration for automated outbound calling. The Standard plan includes 1,000 calling minutes, 2,000 SMS, 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.

AI-Driven Logistics: The Future of Supply Chains

Thesis: AI-Driven Transformation of Logistics

The integration of AI into logistics, particularly through autonomous vehicles, signals a fundamental transformation in how goods are transported and managed. The shift from traditional to AI-enhanced logistics will not only streamline operations but also redefine economic and strategic paradigms across multiple industries.

Evidence and Developments

Waabi's advancements in autonomous trucking, as noted in the IEEE Spectrum source, are emblematic of a broader trend where AI systems like the "Waabi Driver" are becoming integral to logistics operations. These systems enable autonomous trucks to navigate complex environments, laying the groundwork for significant efficiency gains in the logistics sector.

The projected growth of the global autonomous trucking market to exceed $600 billion by 2035 underscores the scale of this transformation. With 15% of U.S. trucking miles expected to be autonomous by 2030, the pace of change is accelerating.

Cross-Industry Connections and Convergence

The implications of AI-driven logistics extend beyond trucking:

Supply Chain Efficiency: Autonomous vehicles will reduce transportation costs and improve supply chain reliability, benefitting industries reliant on just-in-time delivery systems.
Insurance: As risk profiles evolve, the insurance industry will develop new models and products to accommodate autonomous vehicle operations, influencing pricing and underwriting practices.
Urban Planning: With increased adoption of autonomous vehicles, urban infrastructure must adapt to new traffic patterns and safety requirements, impacting city planning and development.
Technology and AI Development: Demand for sophisticated AI systems will drive growth in machine learning and data analytics, prompting tech companies to innovate and invest in these areas.

Second-Order Effects and Downstream Implications

The rise of AI in logistics will have several downstream effects:

Job Market Shifts: While some traditional roles, such as drivers, may diminish, new jobs in AI system management and maintenance will emerge. This transition necessitates a focus on workforce retraining and education.
Regulatory Landscape: As AI-driven logistics become more prevalent, regulatory frameworks will need to evolve to address safety, liability, and operational standards. Companies must stay ahead of these changes to ensure compliance and strategic alignment.
Environmental Impact: Improved efficiency in logistics through AI could lead to reduced carbon emissions, aligning with global sustainability goals and influencing corporate environmental strategies.

Strategic Implications for Business Leaders

For business leaders, the rise of AI-driven logistics presents both challenges and opportunities:

Invest in AI Capabilities: Prioritizing AI investments will enhance operational efficiency and competitiveness. Businesses should explore partnerships with AI developers to integrate cutting-edge technology.
Prepare for Workforce Changes: Implementing retraining programs will be crucial to support employees transitioning to new roles in an AI-enhanced logistics environment.
Monitor Regulatory Developments: Staying informed about regulatory changes will enable proactive adaptation to new compliance requirements and minimize operational risks.
Leverage Cross-Industry Opportunities: Engaging with different sectors can create synergies and drive innovation, expanding market reach and enhancing value propositions.

Conclusion: A 5-15 Year Horizon

Over the next decade, AI-driven logistics will reshape supply chains and impact a wide array of industries. By understanding and adapting to these changes, business leaders can position their organizations to leverage the efficiencies and opportunities presented by AI integration, ensuring long-term resilience and success.

AI-Driven Logistics: The Future of Supply Chains

Thesis: AI-Driven Transformation of Logistics

Evidence and Developments

Cross-Industry Connections and Convergence

The implications of AI-driven logistics extend beyond trucking:

Supply Chain Efficiency: Autonomous vehicles will reduce transportation costs and improve supply chain reliability, benefitting industries reliant on just-in-time delivery systems.

Insurance: As risk profiles evolve, the insurance industry will develop new models and products to accommodate autonomous vehicle operations, influencing pricing and underwriting practices.

Urban Planning: With increased adoption of autonomous vehicles, urban infrastructure must adapt to new traffic patterns and safety requirements, impacting city planning and development.

Technology and AI Development: Demand for sophisticated AI systems will drive growth in machine learning and data analytics, prompting tech companies to innovate and invest in these areas.

Second-Order Effects and Downstream Implications

The rise of AI in logistics will have several downstream effects:

Job Market Shifts: While some traditional roles, such as drivers, may diminish, new jobs in AI system management and maintenance will emerge. This transition necessitates a focus on workforce retraining and education.

Regulatory Landscape: As AI-driven logistics become more prevalent, regulatory frameworks will need to evolve to address safety, liability, and operational standards. Companies must stay ahead of these changes to ensure compliance and strategic alignment.

Environmental Impact: Improved efficiency in logistics through AI could lead to reduced carbon emissions, aligning with global sustainability goals and influencing corporate environmental strategies.

Strategic Implications for Business Leaders

For business leaders, the rise of AI-driven logistics presents both challenges and opportunities:

Invest in AI Capabilities: Prioritizing AI investments will enhance operational efficiency and competitiveness. Businesses should explore partnerships with AI developers to integrate cutting-edge technology.

Prepare for Workforce Changes: Implementing retraining programs will be crucial to support employees transitioning to new roles in an AI-enhanced logistics environment.

Monitor Regulatory Developments: Staying informed about regulatory changes will enable proactive adaptation to new compliance requirements and minimize operational risks.

Leverage Cross-Industry Opportunities: Engaging with different sectors can create synergies and drive innovation, expanding market reach and enhancing value propositions.

Conclusion: A 5-15 Year Horizon

AI-Driven Logistics: The Future of Supply Chains