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Online: 3K+ Agents Active
Digital Worker 10 AI Agents Active

AI Solution Architect

Deploys a multi-agent AI system that orchestrates specialized agents for requirements analysis, RAG-powered product retrieval, solution architecture, validation, pricing optimization, risk assessment, sustainability scoring, and compliance checkingβ€”delivering complete solutions in minutes..

Parent Portal Nexgile-TradeNexus
10 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: ai_solution_architect

Problem Statement

The challenge addressed

Manual IT solution design for RFPs and customer requirements is time-consuming, error-prone, and inconsistent. Sales engineers spend hours matching products, validating compatibility, calculating pricing, and assessing risksβ€”often missing optimal con...

Solution Architecture

AI orchestration approach

Deploys a multi-agent AI system that orchestrates specialized agents for requirements analysis, RAG-powered product retrieval, solution architecture, validation, pricing optimization, risk assessment, sustainability scoring, and compliance checkingβ€”d...
Interface Preview 4 screenshots

Intelligent Solution Designer - Natural language requirements input with example scenarios and technical infrastructure configuration

Agent Orchestration Hub - Real-time multi-agent execution with live activity feed, progress tracking, and system metrics

Solution Intelligence Dashboard - AI-generated architecture with component breakdown, pricing analysis, and validation scores

Final Output Dashboard - Complete solution with quality scores, compliance badges, and architecture summary for approval

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

Orchestrator Agent

Complex solution design requires coordinating multiple specialized tasks in the correct sequence with proper data handoffs between processing stages.

Core Logic

Acts as the central coordinator that manages the workflow execution graph, routes tasks to specialized agents, handles inter-agent communication, manages human approval checkpoints, aggregates outputs, and ensures the pipeline completes successfully with comprehensive audit trails.

ACTIVE #1
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AI Agent

Requirements Analyst Agent

Natural language RFP requirements are unstructured and ambiguous, making it difficult to systematically match against product capabilities.

Core Logic

Parses natural language input using NLP to extract structured entities (user counts, locations, security levels, budget ranges, compliance frameworks). Performs intent classification, sentiment analysis, and complexity scoring. Identifies ambiguities and generates clarifying questions when needed.

ACTIVE #2
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AI Agent

RAG Retriever Agent

Finding optimal products from a catalog of thousands of SKUs requires semantic understanding beyond keyword matching.

Core Logic

Generates query embeddings using text-embedding-3-large (3072 dimensions), performs vector similarity search against the product catalog, applies BM25 lexical ranking, reranks results using cross-encoder models, and assembles optimized context windows for downstream agents. Sources include product catalogs, knowledge bases, pricing rules, and compatibility matrices.

ACTIVE #3
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AI Agent

Solution Architect Agent

Designing multi-tier IT architectures with proper redundancy, scalability, and component compatibility requires deep technical expertise.

Core Logic

Uses chain-of-thought reasoning to design solution architectures. Selects components across network, compute, storage, and security layers. Validates compatibility using constraint checking. Models redundancy configurations (N+1, 2N). Calculates capacity requirements and generates architecture diagrams with bill of materials.

ACTIVE #4
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AI Agent

Validator Agent

Proposed solutions may contain incompatible components, incorrect configurations, or claims not supported by product specifications.

Core Logic

Cross-references solution components against compatibility matrices. Validates technical specifications against requirements. Performs fact-checking against source documentation. Runs hallucination detection to ensure all claims are grounded in retrieved context. Generates validation reports with confidence scores.

ACTIVE #5
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AI Agent

Pricing Engine Agent

Calculating optimal pricing requires applying complex discount rules, volume tiers, promotional offers, and partner-specific pricingβ€”often leaving money on the table.

Core Logic

Aggregates list prices, applies partner tier discounts, identifies applicable promotions, calculates volume discount thresholds, evaluates bundle pricing opportunities, and optimizes order consolidation for maximum savings. Generates detailed pricing breakdowns with savings analysis.

ACTIVE #6
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AI Agent

Risk Assessor Agent

Solution implementations carry risks including supply chain delays, technical complexity, vendor dependencies, and budget overruns that are often discovered too late.

Core Logic

Identifies risks across categories (supply chain, technical, financial, operational). Assesses probability and impact scores. Generates mitigation strategies with ownership assignments. Produces risk matrices and contingency recommendations. Monitors real-time market conditions for emerging risks.

ACTIVE #7
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AI Agent

Sustainability Analyst Agent

Organizations need to meet ESG commitments and carbon reduction targets but lack visibility into the environmental impact of IT procurement decisions.

Core Logic

Calculates carbon footprint (CO2e) for proposed solutions including manufacturing, shipping, and operational emissions. Evaluates energy efficiency ratings (EPEAT, Energy Star). Identifies green alternatives with lower environmental impact. Scores solutions against sustainability frameworks and generates ESG compliance reports.

ACTIVE #8
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AI Agent

Compliance Checker Agent

IT solutions must meet industry-specific regulatory requirements (HIPAA, GDPR, PCI-DSS, SOC2, FedRAMP) which are complex to validate manually.

Core Logic

Maps solution components against compliance framework requirements. Identifies compliance gaps and generates remediation steps. Validates certifications and attestations. Produces compliance assessment reports with detailed requirement mappings and audit-ready documentation.

ACTIVE #9
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AI Agent

Forecast Planner Agent

IT investments must account for future growth, but capacity planning is often based on guesswork rather than data-driven projections.

Core Logic

Projects capacity requirements over 1, 3, and 5-year horizons based on growth parameters. Identifies upgrade milestones and technology refresh cycles. Generates TCO projections with CapEx/OpEx breakdowns. Produces technology roadmaps aligned with business growth trajectories.

ACTIVE #10
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The AI Solution Architect is an enterprise-grade agentic system that automates end-to-end IT solution design. It ingests natural language requirements (e.g., 'Design WiFi infrastructure for 500 users across 3 buildings with enterprise security'), decomposes them into structured specifications, retrieves relevant products from a vector-indexed catalog using RAG, architects multi-tier solutions with redundancy, validates compatibility, calculates optimized pricing with applicable discounts, assesses implementation risks, evaluates sustainability metrics, and ensures regulatory complianceβ€”all through coordinated multi-agent orchestration with human-in-the-loop approval checkpoints.

Tech Stack

6 technologies

LLM Models: GPT-4 Turbo, Claude 3.5 Sonnet, Gemini 2.0 Flash for multi-model orchestration

Vector Database: Product catalog embeddings with similarity search (cosine metric)

RAG Pipeline: Query embedding, semantic retrieval, reranking, context assembly

Agent Framework: Event-driven orchestration with tool calling and chain-of-thought reasoning

Guardrails: Input/output validation, PII detection, hallucination prevention

Memory: Working memory for session context, episodic memory for cross-session learning

Architecture Diagram

System flow visualization

AI Solution Architect Architecture
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