Agentic AI
We created a Multi-Model Agentic AI that completely replaced the need for human intervention in a complicated workflow.
Multi-Model AI
Orchestrate multiple AI models through context of the problem being solved
Workflow Automation
Remove the need for human intervention through the application of AI
Robot Process Automation (RPA)
Use existing tools as part of an RPA framework to accelerate orchestration of AI models
High Accuracy Solutions
By breaking down the solution into different workflows and applying different models to each workflow, we attained an over 90% degree of accuracy.
Overview
Our client needed to automate labor-intensive tasks that relied on human-in-the-loop intervention to ensure accurate outcomes.
Objective
The primary goal was to completely automate a manual workflow for the client which required several employees with different skills to move through the process and get to a successful end result.
Challenges
The workflow required authenticating with multiple third-party websites using credentials and Multi-Factor Authentication (MFA) and successfully making decisions based on context on each website based on the data provided.
Solution
We used a combination of Robot Process Automation (RPA) and different Machine Learning (ML) models to stitch together an orchestrator for deciding when to use each model based on the context of the problem. This resulted in 100% automated workflows with an over 90% degree of accuracy. In the cases where something went wrong, we were able to automatically identify those and try again or route to a person for triage.
