The advent of Wave 2 in B2B Artificial Intelligence (AI), dubbed "SynthAI," signals a shift towards applications designed to synthesize information, streamlining workflow processes. This evolution aims to enhance user engagement by integrating more tasks into single platform operations, increasing customer reliance and expanding application versatility.
Workflow Definition: A series of steps to accomplish a task or job part, often involving information collection, context application, and processing towards a desired outcome.
SynthAI: A second-wave AI technology focusing on information synthesis to enhance workflow efficiency and user engagement within applications.
Input→Output Paradigm: A core principle of AI and large language models (LLMs) focusing on converting inputs (context/information) into desired outputs (actions/insights) efficiently.
Project Management Tools: SynthAI can automate the aggregation and summarization of task updates, facilitating quicker decision-making and project adjustments.
Enterprise Resource Planning (ERP) Systems: These systems manage day-to-day business activities. SynthAI can streamline data analysis, enhance forecasting, and automate routine decisions, improving overall operational efficiency.
Human Resources (HR) Systems: From automating candidate screening to summarizing employee feedback, SynthAI can expedite HR processes and enhance decision-making related to recruitment, performance management, and employee development.
Marketing Automation Platforms: SynthAI can synthesize customer data and insights, generating personalized content and strategies to improve engagement and conversion rates.
Financial Analysis Software: It can automate the synthesis of financial reports, market data, and predictions, helping analysts make faster, more informed decisions.
Customer Support Systems: SynthAI can quickly summarize customer issues and feedback, enabling faster resolution and improving customer satisfaction.
Product Managers: Can drastically reduce the time spent summarizing brainstorming sessions by utilizing tools like FigJam, leveraging AI for rapid theme and takeaway synthesis.
Lawyers and Editors: Using AI tools such as Macro's "AI Compare" feature can automate the consolidation and comparison of document edits, turning hours of work into minutes.
Sales Professionals: AI-powered web scrapers like Claygent offer significant time savings by automating competitor and product research, allowing for streamlined lead list creation.
What workflows within our organization currently consume the most time and could be streamlined using AI?
How can we ensure that the integration of AI tools aligns with our data security and privacy policies?
How do we measure the ROI of implementing AI tools in our workflows?
How would a new CRM tool like based on this concept?
What are other major software categories that would benefit from synthAI?