Production deployments globally  – Logistics · Fintech · Finance & Taxation

Agentic AI Built as a Digital Workforce Not a Chatbot Wrapper

We design, build, and deploy autonomous multi-agent systems…that execute real operations across your enterprise stack. Governed decisions. Auditable workflows. Zero-trust guardrails. Built with LangGraph and RAG+ deployed in production, not pilots. Including in legacy enterprise environments where a full rip-and-replace is not an option.

In Production Today

We Don’t Demo Agentic AI. We Deploy It.

Finance & Taxation · Active Engagement

Shorthills AI

Building an agentic AI system for finance and taxation operations — multi-agent workflows handling document processing, regulatory reasoning, and structured data extraction across complex financial datasets.

● LIVE

Logistics · Enterprise · Production

Fortune 500 Logistics (Anonymous)

Building LogiGPT – an NL-to-SQL analytics platform integrating SAP, Salesforce, and AWS, reducing analyst dependency, accelerating reporting, and delivering scalable, SOC2-compliant operational intelligence.

● LIVE

Built In-House. Available for You.

Five Production-Grade Systems. Ready to Deploy in Your Environment.

Developer Intelligence

Understand your engineering team. Actually.

🔹DORA metrics tracking
🔹PR approval analysis
🔹Bug risk prediction
🔹Bus factor insights
🔹GitHub + ClickUp scoring

Output: 7 Google Sheets tabs — weekly, automated

Development Pipeline

From task to open PR. No developer required.

🔹 Google Sheets intake
🔹 LLM planning engine
🔹 Staff Engineer prompts
🔹 TDD-first execution
🔹 GitHub PR delivery

Result: Spec to PR — zero developer effort

PR Review Agent

A senior staff engineer on every PR. Automatically.

🔹 Migration validation
🔹 Query optimization
🔹 Security scanning
🔹 Test coverage
🔹 Naming enforcement

PR review time: 2 hours → 10 minutes

Content Pipeline

3-hour workflow → 3 minutes. Multi-agent.

🔹 Research workflows
🔹 Draft generation
🔹 Review guardrails
🔹 ClickUp publishing
🔹 Canva integration

Time saved: 3 hours → 3 minutes per post

Chief of Staff

Your company knowledge base. One AI interface.

🔹 Google Drive access
🔹 Slack integration
🔹 Confluence syncing
🔹 Salesforce connectivity
🔹 Enterprise deployment

Connectors: 35+ enterprise sources · RBAC · SSO

What We Deliver

Strategic Capability Grid

CTO-led agentic capabilities enabling scalable architecture, governed automation, and AI-powered enterprise operations.

Grounded AI

Enterprise-grade knowledge architecture with hybrid search, intelligent chunking, agent memory, and confidence validation. RAG-grounded systems reduce hallucinations and ensure every response remains traceable and reliable.

RAG+Hybrid Search

Agentic Ops

SRE-grade AI operations for production agent fleets. Observability, governance, cost control, and reliability built into the infrastructure layer — not bolted on. LangSmith tracing. Prometheus metrics. Full audit trail on every agent decision.

LLM InfraLangSmith

Autonomous AI

Multi-agent workflows that orchestrate tools, invoke APIs, validate outcomes, escalate when uncertain, and loop with human oversight when required. Schema-enforced tool calling. Rollback on failure. Every action logged end to end.

Agentic AITool Calling

Industry Playbooks

Battle-tested agent crew patterns for logistics, fintech, OTT, finance, and e-commerce - ready to adapt and deploy. We start from patterns proven in production and configure them for your specific operations.

LogisticsFintechFinance

How We Build

Structured Engagement Model

Every agentic system we build follows a structured delivery discipline — architecture before code, governance before deployment.

Architecture Design

Map agents, roles, tools, states, approval boundaries, and safety constraints. Human-in-the-loop checkpoints defined before writing a line of code.

Tool Calling Layer

Schema-enforced tool calling with traceable function invocation and rollback capability. Every tool call validated before execution and logged after.

Memory & Grounding

Short-term and long-term memory stores with real-time knowledge sync. RAG+ grounding with hybrid retrieval and confidence validation.

Adversarial Testing

Adversarial simulation and chaos testing before production deployment. Guardrail validation, edge case handling, failure mode documentation.

Deploy Observability

LangSmith tracing. Prometheus metrics. Cost tracking per
agent run. Every decision logged, traced, and auditable
end to end.

Connects To Your Existing Stack

Integrations

We build agents that plug directly into your operational and data systems — no rip and replace required.

Operational

SmartTOS · ERP · WMS · CRM · SCM · Finance Systems

SaaS

Jira · Zendesk · Salesforce · ServiceNow · Slack · GitHub

Data

Kafka · SQL Databases · Elasticsearch · Redshift · Snowflake · S3 · Vector DBs

AI Layer

LangGraph · LangChain · LangSmith · CrewAI · AutoGen · Qdrant

Cloud

AWS · GCP · Azure · Kubernetes · Terraform · Docker · CI/CD

Engagement Options

Technology Stack

Battle-tested tools we use daily in production agentic systems — not demos or lab experiments.

LLM Orchestration

LangGraph · LangChain · LangSmith · CrewAI

Vector & Memory

Qdrant · Pinecone · pgvector · Redis · VectorDB

AI Models

Kilo AI Gateway · OpenAI · Anthropic · Gemini

Infrastructure

FastAPI · Kubernetes · Docker · AWS · GCP · Azure

Data

Kafka · PostgreSQL · Snowflake · BigQuery S3

Observability

Prometheus · Grafana · LangSmith · Datadog

Measured In Production

Enterprise Impact & Outcomes

85%

Autonomous Task Resolution

Production agentic deployments

99%

Faster Report Generation

LogiGPT — Fortune 500

40%

Annual Cost Savings

LogiGPT operational outcomes

10min

PR Reviews (was 2hrs)

PR Review Agent — internal

3min

Content Workflow (was 3hrs)

LinkedIn Automation Pipeline

3mo

ROI Realised

LogiGPT — Fortune 500

0

Developer Effort (Spec→PR)

Dev Automation Pipeline

Why Madgical Techdom

No Demos. No Pilots That Fade. Production Agent Fleets From Day One.

Book a free 30-minute session with our AI systems architects. We’ll tell you how we’d build it, what it integrates with, and what outcomes to expect.

We work with founders, CTOs, and VPs of Engineering globally who need agentic AI that actually runs in production.