GenAI in Numbers - Gartner and Forrester Predictions

According to Forrester, 89% of AI decision-makers report their organizations are actively expanding, experimenting with, or exploring the use of generative AI. Furthermore, 67% of AI leaders plan to increase investment in generative AI over the coming year, what represents technology’s perceived value and potential. Businesses today recognize that leveraging AI is a pathway to gaining a competitive edge by automating complex workflows, improving data-driven decision-making, and enhancing productivity.

As organizations expand their AI capabilities, they’re seeing returns that justify further investment. Forrester reports that businesses adopting AI enjoy faster operational processes and lower overhead costs, especially when using GenAI to automate routine tasks.

GenAI and Sustainability: Future Outlook

Gartner offers a more nuanced look at GenAI’s future across specific industries and applications. Their projections indicate that by 2027, over 50% of generative AI models used by enterprises will be domain-specific, tailored to industries or specific business functions. Currently, only around 1% of these AI models are highly specialized, so this increase signals a shift towards AI solutions that address unique industry needs, offering deeper insights and value.

Gartner also highlights sustainability as a growing priority within AI adoption. They predict that by 2028, 30% of GenAI implementations will use energy-efficient computational methods to minimize their environmental impact.

Building a Competitive Advantage with GenAI

These projections from Forrester and Gartner highlight more than just growth; they illustrate the strategic role GenAI will play in shaping competitive, sustainable businesses. Companies that embrace AI-driven solutions now are positioning themselves to adapt to the increasing demand for speed, personalization, and efficiency across their operations.

GenAI-Powered iPaaS

Coming back to the previously stated goal of “automating complex workflows,” a GenAI-powered iPaaS is the ideal solution to achieve seamless, intelligent automation. For example, in Frends, this approach allows for advanced integrations. Frends GenAI brings a suite of advanced AI-driven tools, such as

• Machine Learning Language (MLL) models;
• Code generator for creating integration code with simple prompts;
• Automated task configuration.

These features empower both technical and non-technical teams to streamline complex integrations, automate routine workflows, and maintain data accuracy without extensive manual effort. Here is one of the many business use cases where Frends GenAI can deliver substantial impact:

Imagine a finance team needing to approve an invoice: Frends GenAI can generate an interactive card in Microsoft Teams or Slack, displaying key invoice details such as the vendor, amount, due date, and a summary of any flagged issues or discrepancies, with options like Approve, Request Changes, or Reject. By simply selecting an option, team members trigger the next steps in the workflow—such as posting the invoice to the ERP, updating records, or notifying other departments.

This setup keeps all relevant actions within the messaging app, minimizing the need to switch applications, emailing back and forth for approvals, and streamlining task approvals with a single click.

Microsoft Teams or Slack primarily, in this case, act as user interfaces for task approvals, updates, and notifications, and they themselves don’t inherently contain generative AI elements. However, with a GenAI-powered iPaaS, you can enhance the functionality behind these cards in the following ways:

• GenAI can dynamically generate the content within the cards by pulling in relevant data from various sources. For instance, it could summarize a lengthy invoice or support ticket, highlight key insights, and surface pertinent details for the user, reducing the need for manual data gathering and entry.
• GenAI could help prioritize and route approval requests based on patterns or urgency, pushing high-priority cards to specific team members and providing smart recommendations (like “urgent review needed”) based on historical data.
• GenAI can analyze historical approval patterns or past outcomes to suggest actions directly within the card, such as “approve,” “request changes,” or “escalate,” based on the likelihood of a particular choice aligning with business rules or past decisions.

Strategic Takeaway

To see how these trends translate into practical, real-world applications, explore how Frends is leading the way in AI-driven iPaaS solutions. Frends’ AI-powered platform automates repetitive tasks and empowers teams with intelligent workflow enhancements tailored to industry-specific needs. 

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