Flows is a no-code solution that enables you to leverage Autonomous Agents to streamline your knowledge work.
A Flow can connect to internal databases, files, search for targeted online sources, or connect to App Datasets.
How Flows Automate Knowledge Work
Process
Agents can navigate complex workflows, following a structured approach but are flexible enough to adjust if conditions change, ensuring they meet the desired outcomes.
Data
By integrating and analyzing data from various sources, agents provide insights and make informed decisions, feeding back into the process to improve efficiency.
Context
Agents comprehend the bigger picture—why a task is important—allowing them to prioritize and make judgement calls in ambiguous situations.
Catalog of Innovation & Strategy Flows
Browse through a growing catalog of ready-to-use typical innovation and strategy tasks.
Flow Editor
No-code visual interface to create agent chains that customize advanced features such as task definition, tool selection, and variable definition formatting.
AI-Assisted Flow Generation
Describe your process in natural language and FifthRow will automatically create a runnable Flow with an API.
Datasets
Connect Flows to existing Datasets on FifthRow or upload additional data that agents can run processes on top of.
Company & Private Flows
Save generated flows into your Company Library, forever automating work and enabling everyone to benefit from it. You can also save Flows just for yourself.
Custom Tool Development
FifthRow can help you develop custom tool access that works with your internal systems.
How Flows Can Integrate Into Your Industry
Automate the identification of potential cross-sell opportunities by analyzing customer profiles, purchasing history, and claims data to recommend additional products that align with customer needs.
Automate the gathering of pricing data from competitors by scraping publicly available sources and comparing it to internal product pricing, enabling strategic adjustments to remain competitive.
Leverage multiple datasets to find patterns in how customers purchase multiple insurance products together, recommending optimal bundling strategies to increase sales and customer satisfaction.
Analyze claims data to uncover common coverage gaps, providing insights into new products or add-ons that could be marketed to customers based on their individual risk profiles.
Automate the research of new geographic markets by analyzing local purchasing trends, competitor presence, and risk factors, helping identify areas where new product deployment may be most successful.
Autonomous Process Automation
Identifying the next fashion trend because of social listening? The next chemical compound for your detergent formula?
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