Workflow Automation with Generative AI – New Layer of Intelligence
DATAFOREST goes beyond robotic automation and offers both the ability to automate tasks and analyze workflows with generative AI, suggesting optimizations or even more efficient processes.
Workflow Automation with AI Solutions
The best solution for workflow automation services depends on your technical expertise, budget, and specific workflow needs.
01
AI Agents
Our AI agents act as the intelligent layer between the generative AI model and the user or workflow. They bridge the gap between the model's technical capabilities and practical application within the business process. Based on that interpretation, they interact with users, interpret model outputs, and act within the workflow.
02
RPA with Generative AI Integration
Robotic Process Automation (RPA) mimics human actions on a computer interface. Generative AI models analyze past RPA actions and identify opportunities for improving or automating additional tasks. The RPA tool can be integrated with the generative AI model to increase its capabilities within the automated workflow.
03
Human-in-the-Loop
This solution combines human expertise with Generative AI for business processes in workflow automation. Gen AI models handle routine tasks like data entry, report generation, or initial analysis. Human workers intervene at specific points in the workflow to review the AI's output, make final decisions, or control complex situations that require human judgment.
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Reporting & Analysis Automation with AI Chatbots
The client, a water operation system, aimed to automate analysis and reporting for its application users. We developed a cutting-edge AI tool that spots upward and downward trends in water sample results. It’s smart enough to identify worrisome trends and notify users with actionable insights. Plus, it can even auto-generate inspection tasks! This tool seamlessly integrates into the client’s water compliance app, allowing users to easily inquire about water metrics and trends, eliminating the need for manual analysis.
Automating Reporting and Analysis with Intelligent AI Chatbots
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Improving Chatbot Builder with AI Agents
A leading chatbot-building solution in Brazil needed to enhance its UI and operational efficiency to stay ahead of the curve. Dataforest significantly improved the usability of the chatbot builder by implementing an intuitive "drag-and-drop" interface, making it accessible to non-technical users. We developed a feature that allows the upload of business-specific data to create chatbots tailored to unique business needs. Additionally, we integrated an AI co-pilot, crafted AI agents, and efficient LLM architecture for various pre-configured bots. As a result, chatbots are easy to create, and they deliver fast, automated, intelligent responses, enhancing customer interactions across platforms like WhatsApp.
Improve chatbot efficiency and usability with AI Agent
All Success Stories
Technologies of Artificial Intelligence and Machine Learning
Lama 2
Zilliz
Weaviate
Stable Difusion
Qdrant
Pix2Pix
Pinecone
Pgvctor
OpenAI
Momento
Mixtral
Llava
Hugging Face
Faiss
Chroma
ChatGPT
Activeloop
YOLO
SageMaker
Pillow
NLTK
Keras
SciPy
Redis
Workflow Automation with Generative AI Process
By following these steps, generative AI can be integrated into your workflows, unlocking a world of automation, improved efficiency, and smarter decision-making.
Identify and Target
The first step is to pinpoint areas in your workflow that are repetitive, time-consuming, or error-prone.
01
Data Prep & Training
You'll provide relevant data sets (text, images, code, etc.) specific to your workflow. This data becomes the fuel for the AI to learn and develop.
02
Model Building
Complex algorithms help the AI identify patterns, understand relationships, and generate outputs. This involves iterative refinement to ensure accuracy.
03
Integration & Connection
Generative AI must connect with your existing workflow tools and software, allowing for smooth, automated task execution.
04
Testing & Optimization
The AI's performance is tested on real-world data. The model can be further optimized based on the results to ensure effectiveness.
05
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Deployment & Monitoring
The generative AI model automates tasks and generates outputs. Monitoring performance ensures the AI continues to function optimally.
06
Learning & Improvement
Gen AI continuously learns and improves to stay relevant and deliver better results as it processes new data and interacts with workflow.
07
Feedback & Iteration
A feedback loop helps refine the AI model and ensures it continues to align with your evolving needs.
08
Challenges Addressed by the Workflow Automation With Generative AI
We combine intelligent process optimization with adaptive learning capabilities to improve operations continuously while reducing human intervention.
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Process Bottleneck
Elimination
Elimination
Generative AI identifies and resolves workflow bottlenecks by automating repetitive tasks and streamlining approval processes.
Knowledge
Management
Enhancement
Management
Enhancement
Generative AI transforms scattered organizational knowledge into accessible, searchable systems that automatically update with new information.
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Decision-Making
Acceleration
Acceleration
Generative AI analyzes complex data sets to provide actionable insights and recommendations for faster, more informed business decisions.
Customer
Experience
Personalization
Experience
Personalization
Generative AI enables dynamic, personalized customer interactions across channels while maintaining consistency and reducing response times.
Turbocharged Productivity
improving processing speed and overall workflow efficiency.
Accuracy and Consistency
raising the accuracy of processes and decision-making.
Customer Experience
communication and recommendations personalization based on customer data.
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Cost Reduction
faster processing times and streamlined workflows minimize operational expenses.
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Decision Making
identifying trends, predicting outcomes, and generating valuable insights.
Scalability
adapting to new situations, making AI models valuable tools for dynamic environments.
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