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Swit Ecosystem: Revolutionizing Work in the AI Era

Redesigning Workflows, Amplifying Connectivity, and Pioneering the Future of Collaboration

March 15, 2024

Swit Ecosystem Map

 The way we work in the AI era will undergo a complete transformation. Consequently, the tools we use will also change. Imagine a unified work hub seamlessly blending the capabilities of ChatGPT, Slack, Asana, Zapier, and Google Workspace/Microsoft 365. Enter Swit - the first AI-driven work hub that not only enhances the functionality of Google Workspace/Microsoft 365 but also surpasses the capabilities of other tools in a superior manner.

 While competitors are building rockets, Swit has created a universe. In our worldview, AI resides at the core, with the product and plugin layer surrounding AI, the integration layer encompassing products, and automation at the final layer automating AIs, Swit, and APIs of third-party apps with no-code. The preceding layers become the frontend hub service for the subsequent layers, crafting an AI-first product suite.

AI Layer: Core of the Universe

  • AI precedes products. Swit AI is positioned at the core of the entire ecosystem, enabling it to access all data from every function of Swit's offerings, including products, plug-ins, and integrations. This bold positioning makes Swit AI accessible through multiple interfaces to meet various functional requirements. Companies need more than just a standalone AI; we need a Work AI that works like us.

Product & Plug-ins Layer: AI-First Work Hub

  • Old digital transformation strategies built before the era of AI won’t suffice in this new world. The layer of products and configurable plug-ins is constructed upon the multi-LLM AI infrastructure to become an AI-first work hub that consolidates collaboration essentials. This layer provides collaborative context to Swit AI, enabling AI to extend its capabilities not only in chat but also in project management, task handling, approval processes, goal tracking, and many other aspects. Additionally, this layer serves as the frontend hub for third-party integrations.

Integrations Layer: Enabling Seamless Connectivity

  • Before Swit, integrating apps was limited and cumbersome, with updates sending text-based notifications to its integrated chat app without accomplishing much. However, sacrificing interaction in the name of integrations is not an option in the age of AI. A connected workflow across apps relies on interoperability between integrated apps. Swit offers unique, multiple custom interfaces for integrations, such as the Right Panel – an extended workspace for third-party apps.

Automation Layer: Orchestrating Workflows

  • The Automation layer encompasses the entire ecosystem, connecting triggers to desired results across products and ecosystems by automating APIs and AIs. While Swit AI automates data-level processes within products, Swit Automation operates at the edge of the ecosystem, automating at the API level. This seamless integration enhances the Swit ecosystem both externally and internally with Swit AI.

One Connected Workflow

Building an AI Digital HQ

Many companies aim to adopt AI. However, a crucial prerequisite before implementing AI is seamlessly connecting the scattered data flows between departments and across apps. This task should not be reduced to a mere act of using BI tools to link data from various apps and generate reports in numerical form. Instead, AI should function as a collaborative partner on the practical front, actively contributing within the surfaces of the apps where real-world tasks are executed. In other words, to digitize our company's operations and enable the flow of interconnected data, it is essential to establish an AI Digital HQ that places our entire company on the foundation of AI.

Within the Swit Ecosystem

Every company has different workflows, making it challenging to simplify them in a chart. However, we can certainly identify some clear common denominators in streamlining their collaboration protocols as below.

  • Goals
    • Set goals
    • Score & Review
  • Projects
    • Assign tasks, Track Progress , Align Timeline, Monitor
    • Request Approvals and Decide
  • Communication
    • Granular conversations for specific projects
    • CFR (Conversation, Feedback, Recognition for Goals)
    • Coordination with external partners
  • Customization
    • Fine-tuning is needed not only for AI but also for function-level configuration, extensions of plug-ins, and integrations with 3rd party apps as business scenarios are constantly changing.

Optimizing Data Integration for Enhanced AI Performance: Addressing Functional Separations in a Synchronized Framework

Not surprisingly, these functional separations don’t occur in a linear, chronological manner. Instead, they happen simultaneously or intermittently. This is why all these essential functions and features should be interconnected to ensure cleaner data quality and broader data availability for AI.

With Microsoft’s and Google’s

The Perfect Missing Half

Swit was born to complement the ecosystems of Google and Microsoft. Instead of competing with them, Swit fills the segmentation gaps they lack like Project Work Management and Collaborative Work Automation. These integrated systems enhance human collaboration by eliminating randomly dispersed information silos present in various applications, while paving the path for AIs to revolutionize our work throughout the organization beyond departmental boundaries and across apps.


Collaborative Integration: Unifying Two Ecosystems for Enhanced Synergy

Simultaneously, when planning products in the same category as their apps, we separated use cases by analyzing and reverse engineering the APIs of those products to efficiently address user pain points. This enables joint customers to use Swit "together but differently" even when some functions may appear to overlap within the same category.


Workspace of workspaces

Many customer satisfaction reports indicate that usability rates for MS365 and GWS increase right after adopting Swit. Swit functions as the frontend hub, consolidating major MS & Google apps within one window. Before Swit, teams found it challenging to be on the same page due to fragmented workflows across apps. This repackaged combination, now easier to use, also assists customers in successfully driving cultural and digital transformation with reduced change management efforts.


OpenAI's Bifurcated Approach: Navigating Two Product Strategies Beyond ChatGPT

OpenAI pursues two bi-directional product strategies in addition to ChatGPT, its standalone service. One is Copilot, an AI plug-in within MS 365, aiming to monetize users by upselling to other ecosystem services that are already revenue-generating. Conversely, the ChatGPT Plug-in is designed to function as an OS as an AI for integrations. Ultimately, OpenAI aspires to become a hub for multiple B2B plug-ins. This realization highlights the striking similarity between Swit's Go-To-Market (GTM) strategy and OpenAI's, with the recognition of two significant differences on our end.

  • OpenAI established a strategic partnership with Microsoft, excluding Google. Consequently, Copilot is unavailable for Google Workspace. However, Swit does not have such limitations. Swit operates seamlessly with both Google Workspace and Microsoft 365 apps, and Swit AI is compatible with their large language models - GPT and Gemini.
  • OpenAI selected three B2B apps - Slack, Zapier, To Do - for their initial two releases of the ChatGPT Plug-In as representative AI showcases. Interestingly, these choices align precisely with what we offer more effectively within a single ecosystem and the same database, showcasing remarkably intuitive interoperability.

Swit Ecosystem: Navigating Industry-Specific Needs and Versatility for Comprehensive Offerings

Creating a broad product range applicable to a single industry is challenging, and it is equally difficult to develop a single product that caters to multiple industries with different requirements. However, Swit has focused on achieving both by creating a versatile product range applicable across various industries, capturing two birds with one stone. Recognizing that commonalities between industries should be addressed within the product, and industry-specific elements should be handled within the platform, Swit needed to create an ecosystem that includes not only tools but also general users, citizen developers, and developers alike.

Your Partner in AI-Driven Digital Transformation

On its exact 5th-anniversary milestone in March 2024, Swit's ecosystem map was completed. Believing in 'The Future of Work is AI and Automation' and extending a warm welcome to those interested in AI-driven digital transformation, feel free to get in touch. For companies with a desire, Swit is prepared to be your partner in digital transformation.



Josh Lee, CEO
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