Moweb Limited

Trusted by 500+ Clients

Automate Complex Workflows with Safe, Autonomous AI Agents

Transform your enterprise with safe, productive autonomous agents designed for real-world workflows. MCP-powered agents automate workflows end-to-end with built-in security, permissions, and detailed audit trails for every action. These orchestrated agents seamlessly perform tasks across complex systems, guided by Model Context Protocol (MCP) integrations and controlled through secure, auditable environments.

Safe, productive, autonomous agents for real-world workflows

Orchestrated agents performing complex tasks across connected systems

MCP-powered controls ensuring traceability, governance, and sandbox safety

AI automation built for enterprise-grade transparency and measurable outcomes

Value Proposition

We help enterprises build and deploy Autonomous AI Agents & Agent Orchestration systems that combine intelligence, auditability, and control. Designed for finance, operations, and service teams, our approach delivers measurable impact by merging enterprise RPA + AI, MCP integrations, and agent sandbox techniques for safe, high-performance automation.

The problem we solve

Manual, repetitive workflows across systems cause up to 30% productivity loss and slow back-office operations, impacting efficiency and scalability.

Our core capabilities

Advanced MCP integrations, multi-agent orchestration, secure connector kits, comprehensive audit logs, and human-in-loop controls ensure safe and efficient automation.

Measurable Outcomes

Achieve up to 70% reduction in manual tasks, 50% faster SLA compliance, and 99.7% accuracy with full traceability and auditability of all agent actions.

Why Agentic Systems Now?

Modern enterprises are drowning in repetitive workflows, fragmented tools, and slow decisions. Studies reveal that companies lose up to 30% of knowledge worker time on repetitive tasks, costing billions annually. Early adopters of agentic AI report productivity gains three times greater than competitors still grappling with manual bottlenecks. Business teams understand their workflow challenges best, but often lack coding skills to deploy AI agents. Low-code agent builders bridge this gap, enabling deployment speeds 5x faster, from a typical six months down to three to four weeks, and reducing IT backlog by 60% as business users independently configure simple agents.

Agentic AI transforms operations by integrating safe AI agents into approval loops, customer escalations, and document-heavy processes to provide round-the-clock orchestration and secure automation. Imagine an AI automation system that reviews financial transactions, resolves queries across CRM systems, or curates operational data, all with human-in-loop oversight. Leveraging agent sandbox environments, MCP integrations, and enterprise RPA + AI workflows, organizations can move from manual management to adaptive orchestration that’s traceable, compliant, and future-ready.

Our Agentic Offerings

Agent design & multi-system orchestration

MCP server-client setup & connector engineering

Multi-agent workflow design & choreography

Action validation and human-in-the-loop escalation

Secure audit logs and explainability dashboards

Agent monitoring, rollback & sandbox governance

Agent accelerators: email triage, invoice processing, sales follow-up

MCP protocol implementation for cross-system awareness

Custom data indexing using Milvus and Chroma vector databases

Hybrid RPA-AI implementation for enterprise-grade autonomy

Citizen developer training & certification for agent configuration

Pre-built agent templates & starter kits for email triage, invoice processing, CRM updates

Low-code agent configuration and custom orchestration code

Shadow IT risk assessment for ungoverned agent deployments

Ready to Transform Your Enterprise Knowledge into Intelligent Action?

Request a demo to see production-ready RAG pipelines and enterprise chatbots in action

Schedule a call with us

Tech Stack

OpenAI

Anthropic

Azure

Hugging Face

Mistral AI

How We Build: Our Technical Approach

We combine robust enterprise orchestration frameworks with Model Context Protocol (MCP) to deliver production-ready autonomous agents rapidly and reliably. Our approach encompasses:

Workflow Analysis

Thoroughly map existing manual processes to identify automation opportunities and define clear success metrics.

Agent Architecture

Design flexible single-agent or multi-agent systems with well-defined roles, responsibilities, and escalation pathways.

MCP Integration

Develop secure server-client connectors for ERP, CRM, and databases using OAuth and API authentication to ensure safe system interoperability.

Architecture Diagram

Integrations & Tech Stack

Our Conversational AI & RAG solutions are built on a modular, open, and scalable technology architecture that adapts easily to any enterprise IT ecosystem. We integrate seamlessly with the best-of-breed LLM APIs, open-source models, and high-performance vector databases to deliver robust, production-ready systems

Orchestration Frameworks

LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, enabling scalable multi-agent workflows and advanced task orchestration.

MCP Protocol

Comprehensive Model Context Protocol server/client implementations and custom connector development for secure cross-system communication.

LLM Integration

Industry-leading large language models, including OpenAI GPT-4, Anthropic Claude, Azure OpenAI, and custom fine-tuned models for adaptive intelligence.

Vector Databases

Pinecone, Milvus, Chroma, and FAISS utilized for agent memory management and efficient context retrieval.

RPA Tools

UiPath, Automation Anywhere, and Power Automate integrated to blend robotic and AI automation capabilities into cohesive workflows.

Monitoring & Observability

LangSmith, Weights & Biases, custom audit dashboards, Prometheus, and Grafana provide real-time insights, auditability, and system health tracking.

Low-Code Platforms

Microsoft Power Platform (Power Automate AI Builder), Make (Integromat) to empower citizen developers and speed deployments.

Integration Tools

Zapier, Power Automate for simple agent workflow automation and rapid app connections.

Security & Compliance Infrastructure

Enterprise-grade security with API gateways, encrypted credential management, end-to-end encryption, identity and access management with SSO, multi-factor authentication, and SOC 2 and GDPR compliance.

Our AI/ML Development Process

Maximize the possibilities of the newest AI/ML version. You can hire our AI/ML developers, who are competent in the technical and interactive abilities required to meet your project's objectives.

Discovery & Initial Planning

We begin by understanding your requirements and goals, ensuring a tailored approach.

Data Gathering & Cleaning

We collect and preprocess data to ensure accuracy and quality for model development.

Model Development and/or Training

Our AI/ML experts build scalable, high-performing models using advanced algorithms.

Testing & Validation

We rigorously test models using real-world data to ensure they meet your objectives.

Deployment

Our team implements the solution in a live environment, ensuring seamless integration.

Maintenance & Support

We offer ongoing support and maintenance to optimize and update your AI/ML solutions over time.

Explore

FAQs for AI Agents & Intelligent Automation

An autonomous agent is an AI-driven system capable of making decisions and performing tasks independently across multiple enterprise applications. Through MCP integrations and agent orchestration, these agents automate complex business workflows safely within an agent sandbox.