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miraAI
An enterprise-ready Gen AI framework, designed by Miracle Software Systems, Inc., to transform the entire AI ecosystem. By bringing together prompts, workflows, and data into a single unified layer, it eliminates silos and fragmented deployment. It features built-in traceability, intelligent drift detection, and automated evaluation to ensure AI models remain accurate and scale over time. The result is faster innovation, smarter decisions, lower risk, and measurable business impact powered by trust and enterprise-grade intelligence.
Centralized Intelligence for Enterprises
Core Capabilities
Document Understanding
Extract meaningful information from unstructured documents and media to speed up understanding
Multi-Model Flexibility
Align AI models precisely with your workflows to meet specific business requirements and objectives
Conversational Interface
Interact via chat or voice to receive clear, relevant, and context-aware answers immediately
Seamless Integration
Link cloud applications, internal tools, and storage systems smoothly and reliably without disruption
Security and Governance
Safeguard sensitive data across every interaction while ensuring compliance and controlled access
Analytics and Reporting
Produce dashboards, summaries, and reports that highlight key performance trends and outcomes
Guardrails & Policy Controls
Maintain trust and compliance by enforcing responsible AI behavior aligned with enterprise policies
Model Drift Detection
Monitor model performance to detect early deviations and maintain reliable, high-quality AI outcomes
End-to-End Traceability
Track all prompts, responses, and workflows for complete visibility, accountability, and governance
miraAI is an advanced Generative AI Accelerator Engine designed to help enterprises push the boundaries of what AI can achieve. It converts structured and unstructured data into clear, contextual, and actionable insights, turning raw information into real business value.
The platform empowers human-augmented AI, enabling:
Why Leading Enterprises Trust miraAI
01. AI-powered analytics allows visibility to track usage, users, and costs
02.Customizable prompts enable effortless control over system behavior
03. Deploy securely on any cloud, hybrid, or on-premise environments
04.Multi-Model Support, Document Intelligence & Character Recognition
05.Visual low-code workflows connect apps and automate business processes
Case Studies
Frequently Asked Questions
It's a plug-and-play, cloud-agnostic design that connects seamlessly with any existing
systems, including SAP, SharePoint, Salesforce, BigQuery, etc., without disruptions.
Yes. It includes role-based permissions, audit trails, and governance to meet enterprise
compliance and regulatory standards.
miraAI provides real-time, contextual alerts and answers directly where you work,
eliminating the need to log into dashboards.
miraAI is designed for both structured and unstructured processes, so it adapts easily
to complex enterprise workflows.
Yes. It’s multi-tenant ready, supporting different teams or clients in secure and
isolated environments.
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Automated Employee Onboarding Workflow
Business Challenge
- Employee onboarding involved multiple manual handoffs across HR, IT, facilities, and hiring managers.
- Delays in account setup, equipment allocation, and training assignments slowed new-hire readiness.
- Inconsistent onboarding processes across teams and locations made it difficult to ensure all required steps were completed.
Our Solution
- Built a Flow Sphere workflow triggered when HR marks a new hire as ready for onboarding.
- Automatically created IT tickets for account setup, access requests, and equipment allocation.
- Assigned onboarding tasks and notified stakeholders through email and collaboration tools.
- Retrieved onboarding policies and checklists from Knowledge Sphere to guide tasks.
- Tracked task completion against defined rules and escalated overdue activities for follow-up.
Customer Benefits
- Faster Onboarding: Reduced manual coordination and helped accelerate new-hire readiness.
- Consistent Processes: Standardized onboarding steps across teams and locations.
- Improved Visibility: Made onboarding progress easier to track across HR, IT, and hiring managers.
- Reduced Administrative Effort: Automated routine task assignments, notifications, and follow-ups.
- Policy Adherence: Helped ensure onboarding tasks followed defined policies and requirements consistently.
Technology Scope
- Flow Sphere: Visual workflow design, task sequencing, and approval handling.
- Knowledge Sphere: Retrieval of onboarding policies, checklists, and role-based requirements.
- Agent Sphere: Task validation, escalation decisions, and exception handling.
- Integrations: HR systems, IT service management platforms, email, and collaboration tools.
Dynamic Health Analytics Using Language-to-Insights
Business Challenge
City and state officials, along with health departments, face the challenge of managing and analyzing large volumes of healthcare data, including vaccine tracking, outbreak monitoring, and more. This process is not only cumbersome but also expensive due to the need for constant updates and reporting in a rapidly changing healthcare environment.
Our
Solution
We implemented a Language to Insights solution, enabling officials to convert text-based descriptions into dynamic queries, which can then extract relevant data. This data is processed to generate summaries, charts, visualizations, and reports that meet the needs of the officials. The solution empowers users to easily describe their data requirements and automatically generate the necessary insights without relying on costly manual reporting processes.
Customer Benefits
- Efficiency: Streamlined data analysis and report generation, significantly reducing the time and effort required to create complex reports.
- Cost Savings: Reduced need for manual data analysis and report-building, lowering the overall operational costs for the health departments.
- Agility: The ability to quickly adapt to new requirements and rapidly changing healthcare situations, providing timely insights and decision-making support.
- Empowerment: Non-technical officials can now easily generate their own reports and visualizations, increasing self-sufficiency and reducing reliance on specialized IT teams.
Technology Scope
- AL/ML: Converts text-based input into structured queries for data extraction.
- Data Integration: Access to multiple data sources related to vaccines, outbreaks, and public health metrics.
- Visualization: Automatic generation of charts, graphs, and reports based on the extracted data, offering a comprehensive view of the health landscape.
- AI-Powered Summarization: Provides concise summaries of the data and key insights for easy decision-making.
AI-Powered Conversational Assistant for Retail Inventory Management
Business Challenge
- Customers faced difficulties in navigating inventory, placing orders, and tracking shipments efficiently.
- High friction in user interactions due to complex interfaces and lack of streamlined authentication.
- Limited accessibility and engagement options, reducing user satisfaction and retention.
- Competitors offering more intuitive shopping experiences created pressure to enhance customer interaction.
Our
Solution
- Developed a Conversational AI-powered tablet application with an intuitive chatbot interface.
- Enabled users to view inventory, place and track orders, access recipes, and manage their cart effortlessly.
- Integrated voice interaction support for a hands-free and engaging user experience.
- Seamlessly incorporated existing authentication systems, reducing friction in user interactions.
Customer Benefits
- Enhanced User Experience: A seamless, voice-enabled chatbot simplified customer interactions.
- Increased Efficiency: Users could quickly browse inventory, track orders, and place items in their cart with minimal effort.
- Competitive Differentiation: Provided a cutting-edge AI-driven shopping experience, setting the client apart in the market.
- Frictionless Access: Existing authentication integration reduced login-related issues, improving user adoption.
Technology Scope
- LLM Models: NLP-driven chatbot for conversation handling.
- Frontend: ReactJS for a responsive tablet application.
- Backend: Node.js for handling chatbot logic and API interactions.
- Cloud Infrastructure: Google for hosting and scalability.
- Voice Interaction: Speech-to-text and text-to-speech services for a natural conversational experience.
Intelligent Video Surveillance for Restaurant KPIs
Business Challenge
- Maintaining consistent operational quality across multiple franchise locations is challenging.
- Manual inspections are time-consuming, subjective, and prone to inconsistencies.
- Lack of real-time monitoring makes it difficult to detect and address issues proactively.
- Ensuring compliance with safety, cleanliness, and service standards requires continuous oversight.
Our
Solution
- Implemented a multimodal AI system that analyzes video feeds to monitor key operational KPIs.
- Automated tracking of cleanliness, fire hazards, employee idle time, customer traffic, digital signage security, and service efficiency.
- Real-time alerts and insights enable franchise owners to proactively address issues before they impact operations.
- AI-driven analytics ensure consistent brand standards across all franchise locations.
Customer Benefits
- Improved Consistency: AI ensures uniform quality and adherence to brand standards across franchises.
- Operational Efficiency: Automated monitoring reduces the need for manual inspections, saving time and effort.
- Real-Time Insights: Immediate alerts on cleanliness, security threats, and service inefficiencies allow for quick corrective actions.
- Enhanced Customer Experience: Faster response times and improved service lead to higher customer satisfaction and loyalty.
Technology Scope
- Cloud Infrastructure: Google Cloud for video storage and processing.
- Multimodal AI: On-premise AI models for real-time monitoring with minimal latency.
- Data Analytics: Dashboards powered by BigQuery for KPI tracking.
Automated EDI Error Resolutions & Email Responder
Business Challenge
- Manual analysis of EDI errors is time-consuming and prone to human oversight, delaying issue resolution.
- Lack of standardization in error handling can lead to inconsistent communication with trading partners.
- Organizations struggle to maintain 24x7 monitoring, causing delays in identifying and addressing EDI transaction failures.
- Inefficient error resolution disrupts business operations and affects transaction reliability.
Our
Solution
- Developed an AI Agent trained on SoPs, past error logs, and standards dictionaries to act as an EDI error resolution expert.
- The AI continuously monitors EDI transactions, automatically identifying errors and diagnosing potential issues.
- It generates detailed email explanations for trading partners, providing corrective actions to resolve errors efficiently.
- The system operates 24x7, ensuring real-time error detection and resolution without human intervention.
Customer Benefits
- Faster Issue Resolution: AI-powered analysis and automated communication reduce downtime and expedite error correction.
- Consistency & Accuracy: Standardized responses ensure clear and precise explanations to trading partners.
- 24x7 Monitoring: Continuous transaction analysis eliminates delays in error detection and resolution.
- Operational Efficiency: Reduces manual workload, allowing teams to focus on high-value tasks.
Technology Scope
- LLM Models: Gemini Models for analyzing EDI errors and generating explanations.
- Backend: Node.js for processing and automation.
- Cloud Infrastructure: Google Cloud for data storage and scalability.
- Email Automation: SMTP or API-based integration with email clients (e.g., Gmail, Outlook).
