The Next Wave - AI and The Future of Technology

Internal Tool Development for Teams

Entrepreneurs can capitalize on the trend of creating custom internal tools powered by Figma Make's advanced capabilities. The concept involves offering clients a bespoke service to develop internal applications tailored to their specific needs, leveraging Figma Make's features to streamline the process. This addresses the common challenge companies face when creating internal tools that are sufficiently tailored but still easy to use. The target audience would be mid to large-sized companies looking to enhance their internal operations without significant investments in complex coding or software development. Specific tactics could include providing a rapid development service where companies can request custom functionalities that would be delivered in a short timeframe.

Service Medium Score: 7.6/10

From: Why Figma Make Might Be the Most Important AI Tool of 2025

Real-Time Code Generation Tool for Prototypes

Figma Make is an AI tool that allows users to generate real-time code for prototypes directly from Figma designs or prompts. This tool focuses on seamless collaboration between designers and developers, enabling multiple users to work together in a shared environment while creating interactive applications. For entrepreneurs, this means you could create a service that integrates Figma Make capabilities into a marketplace model, offering users the ability to rapidly prototype their ideas collaboratively. The primary problem it addresses is the slow prototype development process, where typically designers and developers work in silos, often resulting in miscommunication and inefficiencies. The target audience includes tech startups, design agencies, and individual entrepreneurs who need a fast and collaborative way to turn their designs into functioning applications.

Platform Medium Score: 7.6/10

From: Why Figma Make Might Be the Most Important AI Tool of 2025

Custom API Integration for Data Management

Figma Make's ability to connect with real-time databases through integrations like Supabase allows entrepreneurs to develop custom API solutions for their digital products. The idea involves offering a service that assists startups and businesses in setting up custom databases and integrating them with their Figma designs. This service would target product managers and startup founders who may lack technical expertise. It solves the problem of overly complex database management by simplifying the integration process with an intuitive platform. As Figma Make evolves, entrepreneurs can capitalize on this functionality by providing specialized services that assist clients in real-time app development with backend support.

Service High Score: 7.8/10

From: Why Figma Make Might Be the Most Important AI Tool of 2025

Unified AI Assistant Platform

This idea proposes the development of a centralized, AI-powered platform that integrates and utilizes unstructured data – such as meeting notes, email threads, and call transcripts – to empower personalized digital assistants across an organization. The platform would act as the unified memory where every employee’s interactions and contextual data are stored, enabling AI assistants to generate more accurate and context-rich outputs. By aggregating and processing data from various communication channels, the tool can help businesses streamline workflows, prompt timely actions, and ensure continuity in customer interactions. The implementation would require constructing a secure data ingestion framework that integrates with popular communication and productivity tools. Advanced natural language processing techniques can be used to extract key insights and context from raw data, feeding these insights into the AI assistant. This solution addresses the problem of scattered organizational knowledge and improves efficiency by reducing redundant communications and manual data entry tasks. The target audience includes mid-sized companies that are looking to leverage AI to simplify and enhance internal collaboration. Tactics include developing integrations with tools like HubSpot, Slack, and Zoom, and offering training modules to onboard teams for improved AI fluency.

SaaS Medium Score: 7.6/10

From: Everyone’s Using AI Wrong — Here’s the Real Opportunity

AI Agent Management Dashboard

This idea centers on creating a SaaS platform designed to help businesses manage, train, and monitor their deployed AI agents. As companies increasingly rely on AI to automate tasks such as customer support, sales prospecting, and other operational functions, there comes a need for a centralized dashboard that oversees the performance and integration of these various agents. This management platform would include features like setting agent goals, tracking performance metrics, scheduling training sessions, and aggregating feedback to fine-tune AI functionalities. By offering tools to orchestrate multiple AI agents, the platform can become essential for businesses striving to optimize their automated workflows and improve overall efficiency. From an implementation standpoint, the solution would require robust integration capabilities with existing AI tools and CRMs to pull operational data in real time. Built-in analytics, reporting functions, and a user-friendly management interface would allow non-technical managers to easily supervise AI activities. The target market includes companies that have integrated multiple AI solutions into their workflow and need a cohesive system for continuous improvement and agent oversight. Specific strategies could involve providing customizable dashboards, alert systems, and periodic performance reviews which would appeal to both technical and operational leaders looking to streamline their AI operations.

SaaS Medium Score: 7.8/10

From: Everyone’s Using AI Wrong — Here’s the Real Opportunity

Sales Handoff AI Agent

This idea focuses on developing an AI-powered tool that automates the critical sales-to-service handoff process common in CRM systems. By integrating with existing sales CRM data, the AI agent can automatically compile key customer interactions, contextual information and communication history to create a detailed handoff report. This minimizes friction between sales and service teams, enabling a smoother transition and faster customer onboarding. The tool can be offered as a subscription-based SaaS product where businesses benefit from reduced manual errors and improved cross-team collaboration. Implementation involves leveraging natural language processing (NLP) and data integration from CRM systems. The solution would analyze emails, phone call transcripts, and recorded user interactions to generate concise, actionable handoff summaries that empower service representatives with immediate context. The primary target audience would be small to medium enterprises that use CRM platforms and need to improve their internal workflows. Specific tactics might include building plug-ins for popular CRM solutions, a light-weight API for integration, and dashboards that allow users to tweak or review the automated handoffs. This approach not only saves time but also increases customer satisfaction by ensuring continuity in service delivery.

SaaS Medium Score: 8.4/10

From: Everyone’s Using AI Wrong — Here’s the Real Opportunity