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Category: Business

  • Common AI Tools for Business

    Common AI tools for business enhance productivity, marketing, and operations through automation and generation. Key tools include ChatGPT and Claude for content/chat, Jasper for copywriting, Otter.ai for meeting summaries, Grammarly for editing, and Zapier for workflow automation. These tools help streamline tasks, from design to data analysis.

    Here are some of the most common AI tools used in business by category:

    Content Generation & Marketing

    • Jasper AI: Tailored for marketing copy, blog posts, and brand content generation.
    • ChatGPT & Claude: Versatile conversational AI for drafting emails, brainstorming, and writing code.
    • Adobe Firefly: Generative AI for creating on-brand images and visual assets.
    • Nano Banana: Specialized in creating clean, visual content for marketing. 

    Workflow Automation & Productivity

    • Zapier AI: Connects different business apps to automate workflows without coding.
    • Lark: A collaborative suite that combines chat, documents, and meetings with AI capabilities.
    • Notion AI: Enhances project management, note-taking, and documentation within the platform.
    • Tidio: AI-powered customer service chatbots for improving response times. 

    Meetings & Communication

    • Otter.ai: Automatically transcribes meetings, summarizes key points, and lists action items.
    • Grammarly: Provides real-time, AI-driven feedback on writing style, tone, and grammar. 

    Technical & Infrastructure

    • Google Vertex AI: A comprehensive platform for developing and deploying AI models, suitable for enterprise needs.
    • Microsoft Azure AI: Offers powerful, secure cloud-based AI services and machine learning tools.
    • Lovable: A tool designed to assist in creating web app interfaces. 

    Website & Specialized Tools

    • Wix/Squarespace: Uses AI to generate customized website templates and content instantly.
    • Checkr: Uses AI to streamline background check processes.
    • Healthee: Focuses on helping employees navigate health benefits.
    • Murf.ai: Converts text into realistic voiceovers for marketing or training videos. 

    These tools are widely adopted because they directly address efficiency, allowing employees to focus on strategy rather than repetitive manual work. 

  • Advisory & Consulting Services

    Advisory and consulting services enhance business performance through strategic guidance, operational improvements, and specialized expertise. Consulting typically focuses on short-term projects, implementing solutions, and driving immediate results, whereas advisory services offer long-term, strategic partnerships focused on high-level decision-making, risk management, and sustained growth. 

    Key areas for both services include:

    • Strategic Advisory: Long-term planning, industry benchmarking, and M&A support.
    • Business Consulting: Process improvement, technology implementation, and restructuring.
    • Risk & Value: Risk advisory, financial due diligence, and value creation strategies.
    • Operational & People: Workforce optimization, AI implementation, and program excellence. 

    Key Differences:

    • Duration: Consulting is often project-based (short-term), while advisory is ongoing (long-term).
    • Role: Consultants often implement solutions; advisors guide and partner with leadership. 

    These services provide the expertise needed to navigate complexity and improve profitability.

  • Providers and Platforms

    Providers and platforms constitute a digital ecosystem where platform providers create infrastructure (multi-sided marketplaces, apps, or websites) that allow service providers and customers to connect, interact, and exchange value. 

    Key insights on providers and platforms include:

    • Definition & Function: A platform provider acts as an intermediary, establishing a virtual environment (e.g., website or app) where workers and users connect.
    • Types of Platforms: Platforms are categorized as Infrastructure (cloud), Developer (tools), or Services/SaaS Control Planes.
    • Common Examples: Major platform examples include Linux, Microsoft Windows, and Java.
    • Platform-as-a-Service (PaaS): Examples include AWS Elastic Beanstalk, Google App Engine, and Adobe Commerce.
    • Cloud Providers: AWS, Azure, and Google Compute Engine offer Infrastructure as a Service (IaaS) for building and deploying applications.
    • Industry Examples: Nike’s Nike+ connects athletes with mobile apps, while in the NDIS (disability services) sector, platform providers connect participants with workers.
    • Regulatory Changes: From July 1, 2026, the NDIS Commission will mandate registration for certain platform providers. 

    Strategic Shift: Many companies are transforming into platform providers, utilizing smart products to generate data and establish a multi-sided marketplace.