
AI Implementation with MCP
Build scalable, enterprise-ready AI systems with multi-agentic architecture and the Model Context Protocol framework
Multi-Agentic AI Systems
We build enterprise-grade, cross-functional Agentic AI systems on a unified MCP-based backbone, enabling multi-agent intelligence across Finance, Sales, Operations, Distribution, Controls, Service, and more.
Our deployments go beyond AI orchestration—combining custom business apps, workflow automations, and deep ERP/CRM/email/document integrations—to deliver secure, role-aware intelligence wherever teams work: web, mobile, and WhatsApp.
With successful programs for Ultratech, Max, Compass, BLS, IMT, and others, we help enterprises accelerate AI adoption with scalable agentic systems, intuitive apps, and high-impact automations that deliver measurable business outcomes within weeks.
Domain Agents
- Finance: Credit risk scoring, collections automation
- Sales: Lead scoring, next-best-action recommendations
- Marketing: Personalization, campaign analysis
- Compliance: Document scanning, regulation alerts
Utility Agents
- Retrieval: Connect to ERP, CRM, email systems
- Reasoning: Conflict resolution, decision logic
- Document: OCR, RAG, classification
- Integration: API connectivity, data transformation
Interaction Agents
- Voice AI: Human-style phone conversations
- Chat Bots: 24/7 customer engagement
- Multilingual: Support across languages
- Context-Aware: Remember past interactions
Business Benefits
- Parallel Execution: Multiple tasks handled simultaneously
- Collaborative Intelligence: Agents share context
- Flexibility: Add/remove agents as needs evolve
- Scalability: Handle complexity without limits
Multi-Agent Collaboration in Action
Watch how specialized AI agents communicate through MCP to solve complex business problems
Real-Time Collaboration: Each agent specializes in a specific domain while the MCP server orchestrates their collaboration. When a customer inquiry arrives, multiple agents work together - Finance checks credit, Sales provides recommendations, Compliance validates regulations, and Service handles implementation.
The MCP (Model Context Protocol) Framework
MCP is the emerging standard for orchestrating multiple AI models and agents in enterprise environments. It provides the foundation for scalable, secure, and governed AI implementations.
MCP Servers
Orchestrate AI agents, LLMs, and workflows like a central nervous system. MCP servers manage the coordination, routing, and context sharing between specialized agents.
MCP Clients
Standardize how apps, workflows, and external systems connect to AI. Clients ensure consistent interfaces across all touchpoints.
Multi-LLM Orchestration
Blend the strengths of OpenAI, Azure AI, Anthropic, and others. Route tasks to the best model for each specific use case.
Governance & Security
Central control over data access, prompts, and usage. Role-based permissions, logging, and audit trails built-in.
AI Investment vs Traditional Approach
See how AI-powered implementation delivers superior value at lower cost
Slow & Expensive
Fast & Scalable
Powered by LangChain, LangGraph & LangSmith
We leverage industry-leading frameworks to build enterprise-grade AI systems with reliability, observability, and scale.
LangChain
Data & Workflow Integration
LangGraph
Multi-Agent Orchestration
LangSmith
Observability & Reliability
Why These Matter for Enterprise
- Transparency: Leadership can see exactly how AI makes decisions
- Control: Governance and compliance built into every layer
- Cost Optimization: Better monitoring and tuning reduces waste
Your AI Transformation Journey
From pilot to enterprise scale in weeks, not years — with measurable value at every step
Quick Wins
Deploy 2-4 high-impact AI use cases
Scale Foundation
MCP architecture enables rapid expansion
Enterprise Adoption
Organization-wide AI transformation
Continuous Innovation
Scale to 100+ use cases without limits
The MCP Advantage: Start small, scale fast, never rebuild
Real Time Impact
Real customer success stories with multi-agentic AI systems
Max Healthcare
Healthcare Leader | $2B+ Revenue
Multi-agent system built on MCP for healthcare compliance, finance workflows, and patient care coordination. AI-driven automation for medical operations with specialized agents handling regulatory compliance verification, automated billing processes, insurance claim management, and real-time patient care alerts.
BLS International
Visa Processing | Global Operations
Voice AI with MCP + LangChain workflows for visa processing, handling customer queries, and intelligent upsell automation. Multi-lingual support with integration to backend systems for real-time status updates and document verification.
Ultratech
Industrial Titan | $10B+ Revenue
AI-powered CRM with intelligent sales assistant featuring MCP-based AI nudges, workflow intelligence for credit & delivery control, and autonomous decision-making capabilities. Integration with logistics systems for intelligent delivery scheduling.
Godrej
Consumer Brand | $5B Revenue
AI-driven business applications with LangGraph-powered automations for marketing intelligence, workflow orchestration, intelligent approvals for R&D, and predictive analytics for consumer insights with automated R&D approval workflows.