Enterprise AI Engineering

Custom AI Agents.
Built for Your Workflows.

Tell us your business challenge. We handle the architecture, development, and secure deployment of AI agents tailored entirely to your operations.

Seamlessly integrates with your setup:

Azure
AWS
GCP
Your Requirement, Our AI Engineering

Tell Us the Business Problem.
We Will Design the AI Solution.

The client does not need to select the model, framework, vector database, architecture, or cloud service. PUMJI will study your business process, existing applications, and expected outcomes to build the right AI engine.

Business process Current applications Data sources Security requirements Performance expectations

1. Understand Requirement

We study the current workflow, business challenges, users, applications, data, risks, and expected business outcomes.

2. Design the Right Solution

We recommend the agents, AI models, integrations, security controls, infrastructure, timeline, and estimated cost.

3. Build, Integrate & Deploy

We develop the complete solution, connect it with your applications, test it, deploy it, monitor it, and improve it.

AI Agents Designed for Real Business Operations

Built for the enterprise. Engineered for security, scale, and cost-efficiency.

Secure by Design

Every AI agent should have controlled permissions, protected credentials, secure communication, validated output, and human approval for sensitive actions.

"An AI agent should never have more access than it needs to complete its approved task."
  • Role-based access control & SSO
  • Prompt injection protection
  • Human approval gates & Audit logs

Cost-Efficient

PUMJI selects the appropriate models, services, infrastructure, and execution method based on the business requirement.

"Affordable does not mean compromising quality. It means avoiding unnecessary models and infrastructure."
  • Task-based model routing
  • Semantic caching & Context compression
  • Token usage optimisation

Reliable

Agents should handle incomplete information, application failures, model failures, API errors, and unexpected conditions safely.

  • Retry mechanisms & Fallback models
  • Source-grounded answers
  • Hallucination controls & Human escalation

Fast

Optimise the complete AI pipeline for responsive interaction and efficient workflow execution.

  • Streaming responses & Async processing
  • Parallel agent execution
  • Fast retrieval & Intelligent caching

Scalable

Start with a focused proof of concept and scale the solution as users, data, transactions, and workflows increase.

  • Modular architecture & Containerised services
  • Horizontal & Auto-scaling
  • Cloud-native & Hybrid deployment

Measurable

The quality and value of every agent should be tracked using defined success criteria.

  • Task completion & Response accuracy
  • Workflow completion time
  • Cost per workflow & Business outcome tracking

Add AI to What You Already Have

Clients do not need to replace their current applications, databases, cloud environment, or business systems. PUMJI can integrate AI agents into existing environments.

"No forced migration. No unnecessary replacement. We build AI around your existing business environment."
Existing Business Applications
Secure Integration Layer
PUMJI Agent Orchestration AI Models & Enterprise Knowledge
Validation & Approval
Approved Business Action

Systems Supported

Web/Mobile Apps SaaS / CRM / ERP / HRMS Microsoft Outlook / Teams SharePoint SQL Server / PostgreSQL Telephony / WhatsApp / SMS Existing APIs

Integration Methods

REST APIs Webhooks / WebSockets Database Integration Message Queues Microsoft Graph API Custom Connectors

Cloud-Oriented AI Development Across Azure, AWS and GCP

PUMJI designs cloud-native, hybrid-cloud, multi-cloud, private-cloud, client-managed, and on-premises AI solutions based on your infrastructure, security, and data residency requirements.

"Azure. AWS. GCP. Your infrastructure, your data, and the right AI architecture for your business."

Microsoft Azure

Capabilities & Services

Azure OpenAI Azure AI Foundry Azure AI Search Azure Functions Container Apps AKS Cosmos DB Microsoft Graph Entra ID

Common Use Cases

  • • Outlook AI agents & Teams agents
  • • SharePoint enterprise RAG
  • • Microsoft 365 automation
  • • Secure corporate AI solutions

Amazon Web Services—AWS

Capabilities & Services

Amazon Bedrock Amazon SageMaker AWS Lambda Amazon ECS/EKS Amazon OpenSearch EventBridge Cognito & Secrets Mgr

Common Use Cases

  • • Scalable serverless AI agents
  • • Document intelligence & Voice agents
  • • Enterprise automation & Event-driven workflows

Google Cloud Platform—GCP

Capabilities & Services

Gemini Enterprise Agent Platform Vertex AI Agent Builder Gemini Models Vector Search Cloud Run / GKE BigQuery Pub/Sub

Common Use Cases

  • • Gemini-powered AI agents & Multimodal AI
  • • BigQuery analytics agents
  • • Cloud-native AI products

Deployment Options

"Use your current cloud, select a new cloud, or adopt a hybrid architecture. We design the solution around the business requirement—not around a preferred cloud vendor."

Existing Accounts Hybrid/Multi-Cloud On-Premises PUMJI-managed

AI Agents PUMJI Can Develop

Specialised agents designed to automate specific operational workflows.

Recruitment Agent

  • • Resume screening & matching
  • • AI interviews & Scheduling
  • • Candidate evaluation & ranking

Voice AI Agent

  • • Inbound & Outbound calls
  • • Natural voice interaction
  • • Appointment booking & CRM updates

Sales Agent

  • • Lead qualification & research
  • • Personalised outreach
  • • Meeting scheduling & Follow-ups

Customer Support Agent

  • • Query handling & Knowledge retrieval
  • • Ticket creation & Issue classification
  • • Human escalation

Email Intelligence Agent

  • • Intent detection & classification
  • • Attachment processing
  • • Response drafting & Approvals

Document Intelligence

  • • Invoice & Agreement analysis
  • • Policy analysis & Form processing
  • • Structured output & Workflow triggering

Enterprise Knowledge

  • • RAG-based answers & Vector search
  • • Permission-controlled retrieval
  • • Source citations & Validation

Custom AI Agent

Have a different requirement? Tell us what the agent should understand, decide, communicate, retrieve, generate, or execute.

Request a Custom AI Agent →

Secure Agentic AI from Data to Action

Enterprise-grade security controls at every layer of the AI workflow.

Identity Security

RBAC, MFA, SSO, Service identities

Application & Data Security

Encryption, Private networking, Tenant isolation, Data masking, Secrets management

Agent & Model Security

Prompt injection protection, Least-privilege access, Malicious input detection

Tool & Action Security

Tool allowlists, Restricted APIs, Action limits, Output validation, Approval gates

Monitoring and Audit

Complete audit logs, Alerting, Anomaly monitoring

Built to Perform Reliably in Production

"Every production project should define measurable success criteria before deployment."

Quality

Task completion, Retrieval accuracy, Source grounding, Citation correctness, Human correction rate.

Performance

Response latency, Workflow completion time, Throughput, Queue time, Resource utilisation.

Reliability

Failed workflow rate, Retry success, Integration failures, Fallback usage, Escalation rate.

Cost

Cost per request/workflow, Token consumption, Model usage, Monthly cloud cost.

How PUMJI Works

1 Requirement discovery
2 Infrastructure assessment
3 AI solution architecture
4 Project scope & cost
5 Proof of concept
6 Full dev & integration
7 Testing & deployment
8 Continuous improvement

Let’s Discuss Your AI Requirement

Your information will be used only to understand your enquiry and prepare a solution recommendation.

US Client Engagement. India AI Engineering. Global Delivery.

We operate globally, providing strategic consultation in the US and executing high-quality AI engineering from India.

United States

Markplace LLC

447 Broadway, 2nd Floor, Suite 1730
New York, NY 10013, United States

Focus: Client engagement, AI consultation, Enterprise partnerships, Requirement discovery.

India

Markplace E-Services Pvt. Ltd.

Bangalore, Karnataka, India

Focus: AI product engineering, Agentic AI development, Azure/AWS/GCP engineering, Deployment.

Your AI Agent Can Start with One Business Requirement.

Tell PUMJI what you want to automate. We will help define, design, build, integrate, deploy, secure, monitor, and scale the appropriate AI solution.

No complete specification required. Start by explaining your business challenge.