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's Strategic Inflection: Across Industries

AI as a Strategic Imperative

The integration of AI technologies within business operations is reaching a critical inflection point. Sarang Gupta’s journey from tinkerer to a key figure in AI implementation at OpenAI illustrates a broader trend: AI is not just a tool but a strategic asset reshaping industries. Companies are leveraging AI for enhanced operational efficiencies, user experiences, and competitive advantage. This signals a significant shift towards data-driven decision-making processes across sectors.

Evidence of AI's Growing Influence

Gupta's work with AI, particularly through OpenAI's initiatives, showcases the mainstreaming of generative AI tools, such as ChatGPT, in business environments. These tools are becoming essential in sales, marketing, and beyond, prompting businesses to rethink traditional strategies. The acceleration in AI adoption is not just a technological evolution but a strategic necessity for businesses aiming to remain relevant.

Cross-Industry Implications

Healthcare: AI's capacity to optimize patient management, automate tasks, and enhance diagnostics implies a future where healthcare systems become more efficient and patient-centric. This transformation is already underway, with AI-driven tools being integrated into clinical decision-making processes.
Education: Personalized learning experiences driven by AI are poised to disrupt traditional educational models. AI can provide tailored educational paths, automating administrative burdens and offering real-time performance analytics.
Media and Journalism: AI tools that identify content gaps and optimize distribution are reshaping how media organizations engage with audiences. Enhanced audience targeting and content personalization will drive new business models in media.
Finance: Beyond the obvious applications in trading, AI's role in risk assessment, fraud detection, and customer service is reshaping financial services. These technologies are enabling more robust and secure financial ecosystems.

Second-Order Effects and Downstream Implications

The widespread adoption of AI will catalyze several second-order effects:

Workforce Transformation: As AI automates routine tasks, the demand for skills in AI oversight, ethical AI deployment, and human-AI collaboration will surge. Businesses must invest in reskilling initiatives to prepare their workforce for these changes.
Regulatory Landscape: The rapid integration of AI into core operations will intensify the focus on regulatory compliance, ethical AI use, and data privacy. Business leaders need to stay informed about evolving regulations to navigate these complexities effectively.
Innovation Ecosystems: AI's integration will foster new ecosystems of innovation, where cross-industry collaborations become more prevalent. Companies that embrace open innovation models will gain a strategic edge.

Strategic Implications for Business Leaders

Invest in AI Capabilities: Prioritizing AI investments will be crucial for enhancing efficiencies and customer engagement. Leaders should focus on building robust AI capabilities that align with their strategic goals.
Adapt Business Models: Agility in adapting business models to leverage AI will be essential. Companies should explore new revenue streams and operational efficiencies enabled by AI.
Emphasize User Experience: Developing user-centric AI applications will drive adoption and satisfaction, ultimately shaping customer loyalty and market positioning.
Monitor Regulatory Developments: As AI technologies evolve, staying informed about regulatory changes will be essential to navigate compliance and ethical considerations.

A Forward-Looking Perspective

Over the next 5-15 years, the convergence of AI with various sectors will redefine industries. Business leaders must recognize the strategic importance of AI and position their organizations to harness its potential fully. By focusing on AI-driven innovation and cross-industry collaborations, companies can lead in an increasingly AI-driven world.

Conclusion

The AI revolution is not a distant future but an immediate strategic imperative. Business leaders who understand and act on these trends will ensure their organizations thrive in the coming decade.

AI as a Strategic Imperative

Evidence of AI's Growing Influence

Cross-Industry Implications

Healthcare: AI's capacity to optimize patient management, automate tasks, and enhance diagnostics implies a future where healthcare systems become more efficient and patient-centric. This transformation is already underway, with AI-driven tools being integrated into clinical decision-making processes.

Education: Personalized learning experiences driven by AI are poised to disrupt traditional educational models. AI can provide tailored educational paths, automating administrative burdens and offering real-time performance analytics.

Media and Journalism: AI tools that identify content gaps and optimize distribution are reshaping how media organizations engage with audiences. Enhanced audience targeting and content personalization will drive new business models in media.

Finance: Beyond the obvious applications in trading, AI's role in risk assessment, fraud detection, and customer service is reshaping financial services. These technologies are enabling more robust and secure financial ecosystems.

Second-Order Effects and Downstream Implications

The widespread adoption of AI will catalyze several second-order effects:

Workforce Transformation: As AI automates routine tasks, the demand for skills in AI oversight, ethical AI deployment, and human-AI collaboration will surge. Businesses must invest in reskilling initiatives to prepare their workforce for these changes.

Regulatory Landscape: The rapid integration of AI into core operations will intensify the focus on regulatory compliance, ethical AI use, and data privacy. Business leaders need to stay informed about evolving regulations to navigate these complexities effectively.

Innovation Ecosystems: AI's integration will foster new ecosystems of innovation, where cross-industry collaborations become more prevalent. Companies that embrace open innovation models will gain a strategic edge.

Strategic Implications for Business Leaders

Invest in AI Capabilities: Prioritizing AI investments will be crucial for enhancing efficiencies and customer engagement. Leaders should focus on building robust AI capabilities that align with their strategic goals.

Adapt Business Models: Agility in adapting business models to leverage AI will be essential. Companies should explore new revenue streams and operational efficiencies enabled by AI.

Emphasize User Experience: Developing user-centric AI applications will drive adoption and satisfaction, ultimately shaping customer loyalty and market positioning.

Monitor Regulatory Developments: As AI technologies evolve, staying informed about regulatory changes will be essential to navigate compliance and ethical considerations.

A Forward-Looking Perspective

AI's Strategic Inflection: Across Industries

AI's Strategic Inflection: Across Industries

AI as a Strategic Imperative

Evidence of AI's Growing Influence

Cross-Industry Implications

Second-Order Effects and Downstream Implications

Strategic Implications for Business Leaders

A Forward-Looking Perspective

Conclusion

Comments (0)

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

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

AI's Strategic Inflection: Across Industries

AI's Strategic Inflection: Across Industries

AI as a Strategic Imperative

Evidence of AI's Growing Influence

Cross-Industry Implications

Second-Order Effects and Downstream Implications

Strategic Implications for Business Leaders

A Forward-Looking Perspective

Conclusion

Comments (0)

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

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