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.

AI Evolution: Integration, Regulation, and Innovation

The world of artificial intelligence is undergoing a profound transformation, impacting enterprises, regulatory frameworks, and technological innovations. This shift represents a deeper integration of AI into various sectors, while also posing new challenges and opportunities.

From AI Pilots to Deep Integration

Enterprises are no longer treating AI as a mere experimental tool. Instead, they are embedding it into their core operations. This transition from pilot projects to comprehensive integrations reflects growing confidence in AI's capabilities.

AI's Role in Complex Workflows

Organizations are now leveraging AI for intricate, multi-step workflows, moving beyond simple tasks like text summarization. This evolution signals a maturation in AI applications, with companies recognizing the technology's potential to enhance productivity and efficiency.

The implications are significant. As AI becomes a cornerstone in business operations, workforce dynamics will inevitably change. Employees will need to adapt, acquiring new skills to collaborate effectively with AI systems.

Regulatory Challenges and Innovations

The regulatory landscape for AI is equally dynamic. Former President Donald Trump's proposal for a unified federal standard aims to simplify compliance for businesses, but it has sparked bipartisan concerns.

Balancing Innovation and Oversight

The proposal highlights a critical debate: should AI governance prioritize innovation or regulation? A federal override could streamline business operations but might also undermine essential state-level protections addressing ethical and safety issues.

This regulatory shift raises questions about transparency, accountability, and bias in AI systems. The industry response is mixed, with some welcoming reduced burdens and others fearing the societal impacts of minimal oversight.

Deepfake Detection and Corporate Responsibility

Amid these changes, companies like Resemble AI are tackling another pressing issue: deepfake technology. With a recent $13 million funding round backed by major players like Google and Sony, Resemble AI is enhancing its deepfake detection capabilities.

Addressing the Deepfake Challenge

The rise of synthetic media has led to increased demand for effective detection solutions. This investment not only underscores the seriousness of deepfake threats but also highlights the role of corporate responsibility in promoting ethical AI practices.

Future innovations in this area could set new standards for content verification, impacting media integrity and security. As deepfake technology evolves, the need for robust detection tools will only grow.

The Road Ahead: Predictions and Recommendations

The AI landscape is set to continue evolving rapidly. Here are some predictions and recommendations for navigating this complex environment:

Invest in Workforce Training: As AI becomes integral to operations, companies should prioritize training programs that equip employees with the necessary skills to work alongside AI technologies.
Engage in Regulatory Discussions: Organizations must actively participate in shaping AI governance, advocating for balanced regulations that encourage innovation while ensuring ethical standards.
Foster Cross-Industry Collaboration: Collaboration among tech companies, regulatory bodies, and academia will be crucial in addressing challenges like deepfake detection and AI ethics.
Embrace Tailored AI Solutions: With enterprises seeking more customized AI applications, there’s an opportunity for AI developers to innovate and provide solutions that meet specific business needs.

Conclusion

The integration of AI into enterprise operations, the regulatory shifts, and the focus on deepfake detection all point to a transformative era for artificial intelligence. By understanding these dynamics and preparing for the future, businesses can harness AI's full potential, driving innovation and growth while navigating the complexities of this evolving landscape.

AI Evolution: Integration, Regulation, and Innovation

From AI Pilots to Deep Integration

AI's Role in Complex Workflows

Regulatory Challenges and Innovations

Balancing Innovation and Oversight

Deepfake Detection and Corporate Responsibility

Addressing the Deepfake Challenge

The Road Ahead: Predictions and Recommendations

The AI landscape is set to continue evolving rapidly. Here are some predictions and recommendations for navigating this complex environment:

Invest in Workforce Training: As AI becomes integral to operations, companies should prioritize training programs that equip employees with the necessary skills to work alongside AI technologies.
Engage in Regulatory Discussions: Organizations must actively participate in shaping AI governance, advocating for balanced regulations that encourage innovation while ensuring ethical standards.
Foster Cross-Industry Collaboration: Collaboration among tech companies, regulatory bodies, and academia will be crucial in addressing challenges like deepfake detection and AI ethics.
Embrace Tailored AI Solutions: With enterprises seeking more customized AI applications, there’s an opportunity for AI developers to innovate and provide solutions that meet specific business needs.

AI Evolution: Integration, Regulation, and Innovation

AI Evolution: Integration, Regulation, and Innovation

From AI Pilots to Deep Integration

AI's Role in Complex Workflows

Regulatory Challenges and Innovations

Balancing Innovation and Oversight

Deepfake Detection and Corporate Responsibility

Addressing the Deepfake Challenge

The Road Ahead: Predictions and Recommendations

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.

AI Evolution: Integration, Regulation, and Innovation

AI Evolution: Integration, Regulation, and Innovation

From AI Pilots to Deep Integration

AI's Role in Complex Workflows

Regulatory Challenges and Innovations

Balancing Innovation and Oversight

Deepfake Detection and Corporate Responsibility

Addressing the Deepfake Challenge

The Road Ahead: Predictions and Recommendations

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.