We design and deploy Agentic AI solutions and execute secure, zero-downtime cloud migrations from Microsoft Azure to Amazon Web Services and beyond — enabling innovation, cost efficiency, and scalable digital transformation.
Empowering Enterprises Across
We are a technology consulting firm specializing in agentic AI architecture and cloud modernization for regulated and high-growth sectors.
We design AI systems that do not just respond — they reason, decide, and act. Our autonomous agents integrate seamlessly with your ERP, CRM, and data ecosystems.
Structured migration from Microsoft Azure environments, on-premise Windows Server infrastructure, and legacy SQL ecosystems to Amazon Web Services.
Tailored Agentic AI & Cloud Architecture for your sector.
Challenge: Unpredictable demand across regions leads to overproduction, stockouts, and inefficient supply chain routing.
Solution: We engineer a multi-agent AI system that unifies Retail POS data, Distributor inventory levels, Weather API streams, and Social sentiment indices.
Migrated legacy Microsoft Dynamics ERP hosted on Azure VMs to AWS ECS + RDS with 25% infrastructure cost reduction.
Prove that autonomous AI agents can resolve predicted stockouts by dynamically negotiating with tier-2 suppliers before human intervention is required.
Coordinator Agent: LangChain Router.
Data
Agent: AWS Athena SQL-tool.
Action Agent:
API mutator (SAP Ariba payload generator).
Agent detects weather disruption in transit lane → Queries DB for affected SKUs → Identifies alternative local supplier → Drafts automated PO adjustment → Requests final human approval.
Achieved a 72% reduction in reaction time to supply chain anomalies, converting a 3-day manual review process into a 15-minute autonomous drafting pipeline.
Problem: Legacy rule-based fraud systems produce high false positives and fail to catch emerging attack vectors such as synthetic identity fraud.
Solution: A distributed, event-driven Agentic AI framework that monitors transaction streams, learns behavioral anomalies, and updates fraud scoring dynamically in real-time latency.
Migrated Microsoft .NET Core API stack from Azure App Services to AWS EKS for immense scalability during peak trading hours.
Problem: Clinicians suffer burnout spending hours continuously reviewing disparate patient EHR records across different databases.
Solution: A multimodal AI agent that summarizes longitudinal medical history, extracts patterns from unstructured clinical notes, and suggests evidence-based diagnostic pathways.
Migrated on-prem Microsoft SQL Server EHR database to AWS RDS with HIPAA-aligned config and automated backup strategy.
Eliminate the friction in insurance prior-authorization by deploying an AI agent capable of reading clinician notes and mapping them directly to payer policy requirements.
OCR Agent: Amazon Textract + Comprehend
Medical.
Policy RAG: Pinecone Vector
DB.
Decision Agent: Bedrock Claude 3 Sonnet.
Agent digests faxed clinical notes → Queries Vector DB for specific payer's CPT code rules → Extracts matching patient vitals/history → Formats a complete structured HL7/FHIR payload for payer submission.
Dropped prior-authorization rejection rates by 40% due to missing documentation. Accelerated patient treatment timeline by an average of 3.5 days.
Challenge: Unplanned equipment failures cause costly assembly line halts and supply chain ripple effects.
Solution: Edge-to-cloud Agentic AI that actively monitors IIoT sensor telemetry (vibration, acoustics, temperature) to predict failure risks before they compound into downtime.
Migrated legacy Windows Server SCADA systems to AWS IoT Core + S3 Data Lake, reducing technical debt.
Prove that Agentic AI can not only predict anomalies in robotic arm motors but also autonomously re-route production logic to bypass the failing hardware gracefully.
Edge Agent: AWS IoT Greengrass
Lambda.
Time-Series Agent: Amazon Timestream query
tool.
PLC Controller: Modbus/TCP API mutator.
Vibration sensor detects degrading bearing → Edge Agent confirms anomaly against historical baseline → Triggers "Soft Degradation" workflow → Reprograms adjacent robotic cell to absorb 30% load → Alerts maintenance crew with exact part ID.
Demonstrated zero unplanned downtime during a simulated motor failure. Saved $120k in avoided scrapped materials during the 30-day PoC timeframe.
Challenge: Static pricing models fail to capture margin opportunities in highly competitive, fast-moving retail scenarios.
Solution: An autonomous AI agent engine that continually evaluates competitor pricing fluctuations, historical demand elasticity, and current supply limits to dynamically tune prices.
Migrated Magento stack from Azure VM to AWS auto-scaling environment improving Black Friday load handling by 4x.
Develop an autonomous pricing defense mechanism that responds to aggressive flash-sales from competitors without triggering a margin-destroying race to the bottom.
Scraping Agent: Apify Actor /
Puppeteer.
Elasticity Agent: SageMaker pricing
model.
Orchestrator: AWS Step Functions + Bedrock.
Agent spots competitor price drop → Calculates new margin cross-elasticity → Reasons: "If we drop price, we lose 15% margin; instead, bundle with overstocked item X" → Automatically pushes bundle promotion to Shopify via GraphQL.
Maintained a 22% higher gross margin during competitor promotional periods compared to legacy rule-based price-matching engines.
Challenge: L1 and L2 support queues get bottlenecked, leading to high resolution times and decreasing Net Promoter Scores (NPS).
Solution: A sophisticated autonomous AI agent seamlessly integrated into ticketing workflows to auto-resolve tier-1 issues, orchestrate troubleshooting, and arm human agents.
Migrated multi-tenant platform core from Azure SQL to Amazon Aurora PostgreSQL, achieving 40% improved DB performance.
Deploy an Agentic AI capable of autonomously triaging, debugging, and drafting Git Pull Requests for low-level infrastructure (Terraform) alerts.
Log Agent: Datadog/CloudWatch API tool.
Code
Agent: GitHub/GitLab API tool.
Reasoning
Engine: Claude 3.5 Sonnet.
PagerDuty alert fires (Memory leak in ECS) → Log Agent queries CloudWatch for traceback → Reasoning Engine identifies faulty deployment config → Code Agent branches repo, patches Terraform limits, and opens a PR for human review.
Achieved a Mean Time to Draft (MTTD) of 4 minutes for infrastructure fixes. Reduced senior DevOps interrupt-driven context switching by 35%.
Focus20 is not a generic IT agency. We are a premier boutique engineering "seal team" trusted by Fortune 500 institutions. Our enterprise clients deploy us when complex, mission-critical Azure to AWS migrations stall out, or when they need to securely weave state-of-the-art Agentic AI (LLMs, RAG, ReAct) natively into their backend systems. We engineer fault-tolerant, high-concurrency systems built exclusively for vast scale.
We execute zero-downtime, highly structured migrations ensuring robust security, sub-millisecond latency, and optimal FinOps cost structures.
Going beyond conversational chatbots to deploy read/write, multi-step Reasoning & Acting (ReAct) agents that execute complex business logic securely.
Enterprise-grade Data Loss Prevention (DLP) and strict Identity & Access Management (IAM) built natively into every environment.
We do not charge for "effort." We engage via fixed-bid, milestone-based, and performance-linked models tied directly to your ARR and margin improvements.
Get a high-level overview of the Focus20 thesis, our proprietary Agentic infrastructure, and the massive enterprise market opportunity we are capturing.
Request Full Pitch DeckExplore our highly-detailed technical playbooks covering architecture, Agentic design patterns, and deployment strategies.
A comprehensive design pattern guide for creating self-correcting autonomous LLM agents using AWS Bedrock, LangChain, and ReAct loops.
Read Full Case Study →A step-by-step technical breakdown of migrating a multi-tenant enterprise .NET monolith to a highly scalable Amazon EKS architecture.
Read PlaybookActionable blueprints for migrating legacy systems and deploying Agentic AI architectures.
Take a decisive step towards scalable enterprise growth today.