Augment Data and Analytics WorkFlows with Agentic AI

Real Time, Dynamic Insights to adapt to evolving questions and user interaction and Data Management Delivered with Agentic and decision Workflows to revolutionise enterprise decision-making capabilities

Overview

Transform Your Data Analytics with Agentic AI

Agentic Analytics leverages autonomous intelligent agents to revolutionize how enterprises process, analyze, and act on data. Our platform delivers real-time insights, automates complex analytical workflows, and enables decision-making at enterprise scale. Achieve 60% faster reporting with self-healing analytics that continuously adapt to your changing business needs.

Key Impact Metrics

60%

Faster Reporting - Accelerate insights delivery with autonomous analytics agents

45%

Faster RCA - Root Cause Analysis powered by intelligent analytics agents

24/7

Continuous Intelligence - Always-on analytics agents monitoring your data

Core Capabilities

Real-Time Data Processing

Intelligent agents continuously monitor and process streaming data from multiple sources in real-time.

Autonomous Decision-Making

Agents analyze data patterns and make intelligent recommendations or decisions autonomously based on business rules.

Self-Healing Analytics

Systems automatically detect and resolve data quality issues, adapting to new patterns and anomalies.

Multi-Source Integration

Seamlessly integrate data from disparate sources with unified analytics and insights across the enterprise.

Natural Language Analytics

Ask complex questions in plain English and receive intelligent, actionable answers in seconds.

Continuous Anomaly Detection

Autonomous agents detect unusual patterns and potential risks before they impact your business.

Analytics Features

Core Platform Capabilities

Real-time data collection from 100+ data sources
Automated data processing and normalization
Intelligent anomaly and pattern detection
Natural language query interface
Predictive analytics and forecasting
Self-healing workflow automation
Enterprise-grade data governance
Advanced visualization and dashboarding

Implementation Approach

Phase 1: Assessment & Planning

                    Evaluate current data landscape and analytics maturity
Identify high-impact analytics use cases
Define analytics strategy and KPIs
Plan data integration and governance

                

Phase 2: Deployment & Integration

Deploy analytics platform across data sources
Configure data pipelines and integrations
Build analytics workflows and agents
Implement governance and security controls

Phase 3: Optimization & Governance

Train teams on analytics agents and workflows
Establish monitoring and alerting
Optimize agent performance and accuracy
Drive organizational adoption

Phase 4: Scale & Innovation

Expand to additional use cases
Integrate new data sources
Continuous improvement and optimization
Advanced analytics and AI capabilities

Use Cases

Sales & Revenue Analytics

Real-time sales insights, pipeline analysis, and revenue forecasting with autonomous agents.

Customer Analytics

Autonomous customer behavior analysis, segmentation, and personalization at scale.

Operational Analytics

Real-time operational monitoring and autonomous optimization of business processes.

Financial Analytics

Automated financial analysis, forecasting, and anomaly detection for better financial control.

Supply Chain Analytics

End-to-end supply chain visibility with predictive alerts and autonomous optimization.

Risk & Compliance Analytics

Autonomous risk detection, compliance monitoring, and regulatory reporting.

Ready to Transform Your Analytics?

Discover how Agentic Analytics can accelerate your insights and drive smarter business decisions.

Syddhi AI Bootcamps

Syddhi AI Bootcamps helps Enterprises to understand how to Infuse AI into Processes and Enterprise Systems and Reimagined the Enterprise workflows and developed initial use cases and onboarded and trained the resources for production environments.

Overview

Transform Your Organization with AI Bootcamps

Our comprehensive AI bootcamps enable your enterprise to prototype and govern agentic workflows within 90 days. We accelerate your organization's AI adoption journey by providing hands-on training, strategic guidance, and practical experience with cutting-edge AI technologies. From AI strategy to implementation, our bootcamps equip your teams with the knowledge and skills needed for successful AI deployment in production environments.

Bootcamp Outcomes

AI Strategy & Roadmap

Define your AI vision and create a clear, actionable roadmap aligned with your enterprise goals and Responsible AI principles.

Use-Case Development

Identify, evaluate, and prioritize AI initiatives based on ROI, risk, and organizational readiness for maximum business impact.

Hands-On Implementation

Build your first AI solution within 90 days with expert guidance, ensuring production readiness and governance compliance.

Team Enablement

Train your workforce on AI concepts, tools, and best practices, creating AI-capable teams ready for enterprise deployment.

Governance & Compliance

Establish AI governance frameworks, responsible AI practices, and compliance protocols for safe, compliant AI operations.

Production Readiness

Prepare your organization for production deployment with testing, monitoring, and operational excellence practices.

Bootcamp Program Structure

Phase 1: Assessment & Strategy (Weeks 1-2)

Business AI Workshop - Understand AI opportunities and challenges
Current state assessment of processes and systems
AI Strategy definition aligned with business goals
Stakeholder alignment and governance setup

Phase 2: Use-Case Development (Weeks 3-4)

Identify and evaluate potential AI use cases
Prioritize initiatives based on impact and feasibility
Define initial requirements and success metrics
Architecture and technical planning

Phase 3: Implementation & Training (Weeks 5-12)

Hands-on development of your first AI solution
Team training on AI concepts, tools, and frameworks
Integration with existing systems and workflows
Testing, validation, and optimization
Governance and compliance implementation

Phase 4: Production Deployment (Week 13)

Final validation and production readiness testing
Deployment execution and monitoring setup
Knowledge transfer to operations teams
Post-deployment support and optimization

What You'll Learn

AI Fundamentals

Core concepts of machine learning, deep learning, agentic AI, and their applications in enterprise environments.

Enterprise AI Architecture

Design and implement scalable, production-ready AI systems that integrate with your existing infrastructure.

Agentic Workflows

Build autonomous, intelligent agents that can make decisions and act independently within your business processes.

Data Engineering for AI

Prepare and manage data pipelines that power AI models and ensure data quality and availability.

Responsible AI & Ethics

Implement ethical AI practices, bias detection, fairness assessment, and governance frameworks.

MLOps & Deployment

Master the tools and practices for deploying, monitoring, and maintaining AI models in production.

Benefits for Your Enterprise

                    Accelerated AI Adoption: Get to market faster with a proven 90-day bootcamp model
Risk Mitigation: Build governance and compliance into AI from day one
Team Capability: Develop in-house AI expertise that drives long-term success
Business ROI: Focus on high-impact use cases that deliver measurable business value
Production Ready: Ensure your first AI solution is ready for enterprise production deployment
Sustainable Growth: Establish foundations for scaling AI across your organization

                

Ready to Transform Your Enterprise with AI?

Join our AI bootcamps and equip your organization with the knowledge, skills, and solutions needed for successful AI deployment.

Cloud FinOps for AI Engineering and Multi-Cloud

Syddhi FinOps Solutions accelerate business value realization for migration and modernization, drive financial accountability, and cost efficiency across organization

Overview

Transform Your Cloud Economics with FinOps

FinOps (Financial Operations) is the practice of bringing financial accountability and cost management discipline to cloud spending. Our comprehensive FinOps solutions help enterprises achieve significant cost reductions while maintaining performance, reliability, and security. We combine advanced analytics, automation, and governance to deliver 38% lower FinOps variance across multi-cloud environments.

Key Impact Metrics

38%

Lower FinOps Variance - Gain financial control with AI-driven visibility and optimized spend

30%

Average Cost Reduction - Optimize cloud spending across AWS, Azure, GCP, and on-premises

24/7

Continuous Monitoring - Real-time visibility and governance of cloud spend and usage

Core Capabilities

Cloud Cost Intelligence

Intelligent agents continuously monitor and analyze cloud spending patterns, identifying optimization opportunities and anomalies in real-time.

Multi-Cloud Visibility

Unified visibility across AWS, Azure, GCP, and on-premises environments with comprehensive cost allocation and chargeback models.

Automated Optimization

Autonomous agents identify and implement cost-saving opportunities including right-sizing, reserved instances, and spot optimization.

Financial Governance

Establish budgets, controls, and governance policies with automated enforcement and real-time alerts for cost overruns.

Predictive Analytics

Forecast cloud costs and spending trends using AI-powered analytics to support capacity planning and budgeting.

Compliance & Security

Ensure compliance with security standards (SOC 2, HIPAA, GDPR) while maintaining cost efficiency and governance controls.

FinOps Features

Visibility & Monitoring

Real-time cloud cost and usage dashboards
Detailed cost breakdowns by team, project, service, and cost center
Automated cost allocation and chargeback
Budget tracking and variance analysis
Cost trend analysis and forecasting

Optimization & Governance

Automated right-sizing recommendations for compute resources
Reserved instance optimization and purchasing guidance
Spot instance automation for non-critical workloads
Storage optimization and data lifecycle management
Unused resource cleanup and removal

Controls & Compliance

Budget alerts and spending controls
Resource tagging enforcement and validation
Role-based access control (RBAC) for cost management
Audit logging and compliance reporting
Integration with security and governance frameworks

Enterprise Support

24/7 support with SLA-backed response times
Dedicated FinOps consultants and architects
Quarterly business reviews and optimization recommendations
Custom reporting and analysis
FinOps training and team enablement

Implementation Approach

Phase 1: Assessment & Planning

                    Evaluate current cloud infrastructure and spending
Identify optimization opportunities and cost drivers
Define FinOps strategy and goals
Establish governance policies and controls

                

Phase 2: Deployment & Integration

Deploy FinOps platform across multi-cloud environment
Configure cost allocation and chargeback models
Implement budgets and cost controls
Integrate with existing financial systems

Phase 3: Optimization & Governance

Enable automated optimization recommendations
Implement cost governance policies
Establish FinOps workflows and processes
Train teams on FinOps practices

Phase 4: Continuous Improvement

Monitor and optimize spending continuously
Regular reviews and adjustment of strategies
Implement new optimization opportunities
Drive organizational FinOps maturity

Use Cases

Cloud Cost Reduction

Identify and eliminate waste, optimize resources, and negotiate better pricing to reduce cloud spending by 20-30%.

Multi-Cloud Management

Manage costs across AWS, Azure, GCP, and on-premises with unified visibility and control.

AI/ML Cost Governance

Optimize costs for AI and machine learning workloads while maintaining performance and governance.

Migration & Modernization

Control costs during cloud migration and modernization initiatives with financial governance.

Chargeback & Showback

Implement accurate cost allocation and chargeback to drive accountability across teams and departments.

Disaster Recovery & HA

Optimize costs for disaster recovery and high availability solutions across multiple regions.

Ready to Optimize Your Cloud Spending?

Discover how Cloud FinOps can reduce your cloud costs, improve financial accountability, and drive cost efficiency across your organization.