ServiceNow and DevOps Task Automation
We have built a sophisticated system for automating ServiceNow and DevOps tasks, focusing on
document processing and workflow enhancements.
Key Features
- Automated Ticket Creation: System automatically reads mailbox and creates
ServiceNow
tickets
- Intelligent Assignment: Tickets are automatically routed to the appropriate
personnel
- Equipment Repair Scheduling: Automated scheduling system coordinates with users
for
equipment repairs
Operational Impact
- Significant reduction in manual ticket processing time
- Improved response times for equipment repairs
- Enhanced operational efficiency through automated workflows
ServiceNow API
Python
DevOps Tools
AI Agents
Future-Ready Approach
Our solution ensures that once the AI agents go into production, they can seamlessly scale and adapt
to
evolving enterprise requirements.
Bottom Line: This area of innovation demonstrates our ability to extend AI solutions
beyond
a single domain, offering broad operational benefits across the enterprise IT ecosystem.
Engineering AI Agents Using Python and OpenAI APIs
Our engineering teams excel at developing advanced AI agents, combining Python's robust
back-end
capabilities with OpenAI's state-of-the-art language models.
AnzioLabs Success Story
Developed for AnzioLabs.com, a candidate screening platform, our AI agents revolutionized the test
creation
process:
- Automated multiple-choice test generation for any subject
- Reduced test creation time from months to hours
- Improved test quality through AI-driven content generation
300+
Hours saved per test creation
Technical Capabilities
- Process Orchestration: Coordinated handling of data extraction, transformation,
and
decision-making
- Cutting-Edge Techniques: Implementation of modern libraries and frameworks for
flexible,
secure solutions
- Customizable Solutions: Adaptable AI agents that can be fine-tuned for specific
domain
knowledge and use cases
Python
OpenAI APIs
LangChain
CrewAI
Bottom Line: Our expertise in orchestrating AI-driven processes using
industry-standard
languages and APIs positions us to tackle the most challenging automation tasks.
"Deep Thought" Chatbot
A specialized AI system designed for a US Government Program, processing and deriving
insights
from a massive repository of documents in the Specialized Platform for Innovative Research Exploration
Program.
4000+
Documents processed and integrated into the knowledge base
Key Features
- Streamlined Document Retrieval: Team members can instantly access specific
information
through natural language queries, eliminating manual document searching.
- Real-time Response: Delivers targeted, accurate responses instantly from the
vast
document repository.
- Enhanced Efficiency: Significantly reduces document review time, allowing
researchers to
focus on analysis and decision-making.
Future Enhancement
Our next development phase includes:
- Integration of a graph database for reaction knowledge
- Enhanced understanding of complex relationships between data points
- More sophisticated analysis capabilities
- Expedited research processes
"Sosler" Chatbot
Developed for the Division of Clinical Innovation, NCATS, Sosler represents our expertise in
handling large-scale, specialized medical documentation.
9000+
Clinical documents including guidelines, research findings, protocols, and
references
Key Capabilities
- Comprehensive Coverage: Processes and understands a vast array of clinical
documentation
types.
- On-Demand Access: Provides immediate access to specific information,
eliminating
the need
to navigate multiple systems.
- Enhanced Collaboration: Enables swift, confident decision-making by making
relevant
information readily available.
Impact
- Improved operational turnaround time
- Enhanced patient outcomes through faster information access
- Reduced administrative burden on clinical professionals
- Streamlined collaboration between team members
3Pane.com - Multi-LLM Query Application
An innovative AI application that allows users to interact with multiple Large Language
Models simultaneously, providing comparative insights and diverse perspectives on user queries.
Revolutionary Multi-AI Interface
The 3 Pane application represents a breakthrough in AI interaction, enabling users to harness the
power of multiple AI models concurrently. This unique approach eliminates the need for sequential
queries across different platforms, providing comprehensive AI perspectives in a single, unified
interface.
Multi-LLM Selection
Choose from various AI models including OpenAI GPT, Anthropic Claude, Google Gemini, and other
leading LLM providers to get diverse perspectives on your queries.
Three-Panel Interface
Simultaneous side-by-side display of responses from three different AI models, enabling easy
comparison and comprehensive analysis.
Comparative Analysis
Side-by-side response comparison helps users make better decisions by understanding different AI
approaches to the same problem.
Model Flexibility
Easy switching between different LLM providers allows users to adapt their AI toolkit based on
specific needs and preferences.
Real-time Processing
Concurrent API calls ensure efficient response times, delivering multiple AI perspectives without
sequential delays.
Personalized Experience
Save preferred AI model combinations and query history for streamlined future interactions and
continuous learning.
3
AI models simultaneously
75%
Time saved vs sequential queries
5+
Major LLM providers supported
∞
Query types and domains
Use Cases & Applications
- Research & Analysis: Compare different AI perspectives on complex research
topics and academic inquiries
- Content Creation: Generate diverse content approaches and writing styles
simultaneously
- Decision Support: Evaluate multiple AI recommendations before making critical
business decisions
- Model Evaluation: Test and compare LLM performance across different query types
and domains
- Educational Tool: Understand how different AI models approach problem-solving
and reasoning
React/Next.js
OpenAI API
Anthropic Claude
Google Gemini
API Orchestration
Business Impact
Enhanced Decision Making: Multiple AI perspectives reduce bias and improve accuracy
by providing diverse viewpoints on the same query. Users can make more informed decisions by
understanding how different AI models approach problems.
Time Efficiency: Parallel processing eliminates the need for sequential queries
across multiple AI platforms, significantly reducing research and analysis time.
Cost Optimization: Users can select the most cost-effective models for specific
tasks while maintaining access to premium models when needed.
Future Enhancements
- Integration with additional emerging LLM providers
- Advanced response analytics and comparison metrics
- Custom model fine-tuning capabilities
- Collaboration features for team-based analysis
- Response quality scoring and recommendation engine