AI Implementation
Enterprise AI Solutions

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

MCP Server💰Finance Agent📊Sales AgentCompliance Agent🔧Service Agent
Central Orchestration
Financial Processing
Sales Intelligence
Compliance Checks
Service Management
Data Flow

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

Traditional Approach

Slow & Expensive

6-12 Months
Time to market
$500K - $2M+
Implementation cost
Limited Scale
Pilot remains pilot
High Risk
No governance framework
Result: High cost, slow ROI, limited impact
RECOMMENDED
AI-Powered Approach

Fast & Scalable

3-8 Weeks
Rapid deployment
30-40% Lower
Cost reduction
100+ Use Cases
Scales enterprise-wide
Built-in Governance
MCP framework ensures control
Result: Quick ROI, enterprise scale, controlled growth
3-5x
Faster Time-to-Value
From pilot to production in weeks, not months
40%
Lower Total Cost
Reduced development and maintenance costs
100+
Scalable Use Cases
Same foundation grows with your needs
Ready to start smart?
Begin with 2-4 high-impact use cases

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

Enterprise Data Connectivity
Connect LLMs with ERP, CRM, SharePoint, and unstructured documents
RAG Pipelines
Retrieval-Augmented Generation for compliance, service, and knowledge queries
Modular Workflows
Build approval chains, risk scoring, and case management systems

LangGraph

Multi-Agent Orchestration

Event-Driven Graphs
Build agent workflows that delegate, reason, and collaborate
Complex Workflows
Support branching logic, parallel tasks, and feedback loops
Example Flow
Invoice agent retrieves data → Risk agent scores → Collections agent triggers CRM workflow

LangSmith

Observability & Reliability

Performance Tracking
Monitor accuracy, latency, costs, and error rates in real-time
Experimentation
Compare model and agent configurations before scaling
Continuous Monitoring
Ensure AI is transparent and accountable, not a "black box"

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

Week 1-2KEY MILESTONE

Quick Wins

Deploy 2-4 high-impact AI use cases

Immediate ROI visible
Pilot to production
Stakeholder buy-in
Week 3-6

Scale Foundation

MCP architecture enables rapid expansion

10+ use cases live
Process optimization
Team training complete
Week 7-12

Enterprise Adoption

Organization-wide AI transformation

25+ workflows automated
Cross-functional integration
Measurable KPI impact
Month 3+KEY MILESTONE

Continuous Innovation

Scale to 100+ use cases without limits

Self-service AI for teams
Ongoing optimization
Competitive advantage
3-8
Weeks to Launch
First value delivery
2-4
Initial Use Cases
Quick ROI proof
100+
Scalable Scenarios
Same foundation
Growth Potential
No architectural limits

The MCP Advantage: Start small, scale fast, never rebuild

✓ Speed to Value
See ROI in weeks with pilot deployments that scale seamlessly
✓ Controlled Growth
MCP architecture ensures governance at every stage of expansion
✓ Future Proof
Add capabilities without rebuilding your AI foundation

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.

40%
Faster compliance
30%
Fewer delays

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.

50%
Call-center reduction
20%
Higher upsell

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.

25%
Faster collections
15%
Higher cross-sell

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.

60%
Faster campaigns
$M+
Cost savings

Ready to implement enterprise AI?

Start with quick wins using MCP architecture and scale to 100+ use cases