Adeptken Consulting LLP – Agentic AI, DevOps, Analytics & Cybersecurity

Adeptken Consulting LLP helps data-driven enterprises unlock the full potential of AWS — spanning Agentic AI on Amazon Bedrock, DevOps automation, advanced analytics, and cloud-native cybersecurity. From deploying intelligent AI agents that automate complex workflows, to hardening environments with WAF and IAM, orchestrating containerized workloads on ECS, and surfacing real-time insights through CloudWatch — our engineers deliver across the entire modern cloud stack. Your data teams and CDOs stay focused on strategic outcomes while Adeptken handles AI, infrastructure, security, and observability end to end. What We Help You Achieve No clear strategy to adopt Agentic AI on AWS, leaving automation opportunities and competitive advantages unrealized Fragmented DevOps practices creating inconsistent deployments, environment drift, and slow release cycles Siloed data with no unified analytics layer, limiting CDO visibility and data-driven decision-making Cybersecurity gaps across IAM roles, WAF policies, and network boundaries exposing enterprise workloads to risk No real-time observability across AI, compute, container, and database layers causing reactive operations Core Capabilities Agentic AI on Amazon Bedrock — Intelligent AI agents automating enterprise workflows, decision-making pipelines, and data processing tasks at scale DevOps & Container Delivery — CI/CD pipelines and ECS containerized workloads backed by EC2 and RDS infrastructure tuned for enterprise delivery Cloud Analytics & Observability — CloudWatch dashboards, custom metrics, log aggregation, and automated alerts across AI, infrastructure, and application layers Cybersecurity & Compliance — WAF rule sets, IAM least-privilege governance, network controls, and security audits protecting enterprise workloads and APIs Serverless & Event-Driven Automation — Lambda functions automating data pipelines, AI triggers, operational tasks, and cross-service integrations Enterprise Infrastructure Management — EC2, ECS, and RDS provisioned with high availability, performance tuning, and cost optimization for data workloads Engagement Model

Phase 1 – Discovery: AI readiness, DevOps maturity, analytics posture, cybersecurity gaps, infrastructure audit. You get: AI readiness report · DevOps assessment · WAF/IAM gap analysis · CloudWatch audit · Architecture recommendations. Phase 2 – Design: Agentic AI architecture, DevOps standards, analytics framework, security controls, implementation plan. You get: Roadmap · Bedrock agent design · ECS/EC2 blueprint · IAM/WAF design · CloudWatch framework · Lambda plan. Phase 3 – Build: Deploy AI agents, automate pipelines, build analytics, activate security controls. You get: Bedrock AI workflows live · ECS workloads deployed · CI/CD operational · WAF/IAM active · Lambda integrated · CloudWatch configured · EC2/RDS production-ready. Phase 4 – Handover: Stabilize, validate, document, transfer ownership. You get: Runbooks · AI and infrastructure docs · Security guides · Knowledge transfer session. Phase 5 – Operate & Optimize (Optional): Ongoing AI ops, DevOps support, analytics tuning, cybersecurity monitoring. You get: CloudWatch monitoring · Bedrock maintenance · ECS/EC2 scaling · WAF/IAM reviews · Cost optimization. Delivery Models End-to-End — Adeptken owns full delivery from AI design through security hardening and handover Co-Delivery — Engineers embed alongside your data and CDO teams following internal workflows Hybrid — Flexible combination per workstream and team capacity Service Tracks