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ServiceAI + IT Hybrid

AI Automation Service

RPA, Python bots, and n8n autonomous workflows

ARCHITECTURE SCHEMATIC
AI Automation Service
EXECUTIVE AI BRIEF // LLM CITATION READY

Structured architectural snapshot optimized for enterprise review and generative search synthesis.

01. Core Bottleneck

Intelligent automation combining RPA, Python scripts, and n8n workflows for business process optimization.

02. Architecture Protocol

Hardened asynchronous microservice topology with end-to-end telemetry and deterministic isolation.

03. Verified Telemetry & ROI

Per bot: 2–4 wk • Time saved: 70% • Operation: 24/7

04. Hardened Stack & Guardrail
Pythonn8nSeleniumPlaywright

Zero Data Leakage / ISO 27001 Aligned

Executive Summary // Architecture Brief

PRODUCTION SPECIFICATION

Autonomous business process automation combining RPA, Python bots, and n8n workflows for operations, customer intake, and reporting.

Key Impact & Verified Metrics // 2026 Telemetry

LIVE PRODUCTION BENCHMARKS
2–4 wk
Per bot
70%
Time saved
24/7
Operation

Scope of Work & Deliverables

Process audit & automation opportunity mapping
Bot development (RPA + API-based micro-agents)
n8n workflow orchestration & self-healing error handlers
Monitoring, alerting & audit logging setup
Runbook documentation & operator handover
Ongoing maintenance & prompt optimization
Live Topology Visualizer //

AI Automation Service - Architecture Topology

Live topology inspection, microservice mesh, and protocol specifications for AI Automation Service.

TOPOLOGY LAYERS:
Edge Layer

Next.js 16 Edge Client

8ms

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

SSR / Edge Worker50K req/s
Gateway & Mesh

YARP / Envoy Gateway

2ms

OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.

Reverse Proxy & Auth120K req/s
Gateway & Mesh

SignalR WebSocket Hub

14ms

Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.

Real-time WebSocket80K conn
Compute Core

C# .NET 9/10 Core Engine

15ms

High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.

Modular Monolith / CQRS35K req/s
AI Intelligence

LangGraph AI Mesh

120ms

Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.

Multi-Agent Router1.2K tps
AI Intelligence

vLLM Inference Cluster

95ms

Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.

GPU Host / PagedAttention4.8K tok/s
AI Intelligence

Vectorless BM25 Engine

18ms

Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.

Hybrid Lexical + Cross-Encoder15K qps
Event Streaming

Apache Kafka / RabbitMQ

3ms

Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.

Event Streaming Broker250K msg/s
Storage & Cache

Redis 7.2 Cluster

1ms

Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.

In-Memory Cache & Pub/Sub400K ops/s
Storage & Cache

PostgreSQL Multi-Tenant DB

4ms

Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.

Schema-per-Tenant Storage22K qps
Edge Layer

Next.js 16 Edge Client

SSR / Edge Worker

Latency SLA
8ms
Throughput
50K req/s
Architectural Specification

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

Downstream Pipe Connectors
YARP / Envoy Gateway
2ms
SignalR WebSocket Hub
14ms
Zero Single-Point-Of-Failure Active
Topology Schema v2.6.4
DELIVERY METHODOLOGY // EXECUTION LIFECYCLE

4-Phase Enterprise Architecture Pipeline

Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for AI Automation Service.

PHASE 01STAGE 01

Architectural Feasibility & Telemetry Audit

Evaluate enterprise workload constraints, latency targets, and data flow topologies for AI Automation Service.

PHASE 02STAGE 02

Subsystem Prototyping & Mesh Integration

Deploy core asynchronous modules and benchmark throughput with synthetic enterprise load.

PHASE 03STAGE 03

Security Hardening & Zero-Downtime Validation

Implement mTLS inter-service encryption, role-based guardrails, and shadow traffic validation.

PHASE 04STAGE 04

Production Cutover & Observability Calibration

Conduct automated verification, cutover routing, and configure continuous latency SLA alerting.

Verified Client Testimonials

Verified Production Impact & Client Endorsements

Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.

“
★★★★★5.0 Verified
✓ Zero-Hallucination SLA • Multi-LLM Swarms

“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”

LD
Lokesh Dave(California, USA)
Product Head • Enterprise AI Solutions
01 / 17
UPWORK TOP RATED PLUS
100% Job Success Score
CLUTCH 5.0 VERIFIED
Top Architecture Partner
HIPAA & SOC2 AUDITED
Compliance-Ready Systems
15+ YEARS DELIVERY
200+ Enterprise Systems
Next In Portfolio //

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Enterprise-Grade Execution

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