What we help you decide, design, and deliver.

Cloud strategy, migration, and infrastructure modernization

We help clients understand current workloads, decide what should move or modernize, and build secure cloud foundations across AWS, Azure, and GCP.

Offerings include cloud readiness assessment, application and workload discovery, 7R migration and modernization analysis, migration wave planning, TCO/ROI modeling, landing-zone design, RDS/database migration planning, Snowball/data migration strategy, data center modernization planning, infrastructure as code, DevSecOps, SRE, cutover planning, and operating model design.

• Cloud Assessment ReportCurrent-state inventory, readiness score, risks, dependencies, MVP scope, and migration candidates.
• 7R Migration RoadmapRehost, replatform, refactor, repurchase, retire, retain, and relocate view with prioritized wave plan.
• Landing Zone & IaCSecure cloud foundation using policy, network, identity, observability, and Terraform patterns.
• Optimization PlanFinOps, reliability, resiliency, security posture, and operational support recommendations.

Cloud network design, isolation, segmentation, and hybrid connectivity

We design the infrastructure and connectivity foundation enterprises need before large-scale cloud, data, integration, and AI workloads can run safely.

Capabilities include VPC/VNet design, subnet strategy, route tables, network isolation and segregation, hub-and-spoke and shared-services patterns, AWS Transit Gateway, Azure ExpressRoute, VPN, private endpoints, DNS, firewall integration, load balancing, traffic inspection, data center connectivity, and zero-trust or semi-trust traffic review.

• Hybrid Network BlueprintTarget-state network, routing, connectivity, DNS, firewall, and shared services design.
• Segmentation ModelEnvironment, application, data, and security-zone separation with control ownership.
• Connectivity PlanAWS Transit Gateway, Azure ExpressRoute, VPN, private link, and data center integration approach.
• Traffic ReviewZero-trust or semi-trust inspection patterns, allow/deny flows, logging, and risk exceptions.

Application, data, file, and partner integration architecture

We connect enterprise systems securely across internal platforms, external partners, cloud services, file exchanges, and legacy environments.

Capabilities include A2A integration, API-led connectivity, synchronous and asynchronous messaging, event streaming, batch data movement, file-based exchange, SFTP, NDM, MFT, managed file gateways, partner integration, queue/pub-sub patterns, reconciliation, retry/error handling, payload validation, and monitoring design.

• Integration LandscapeSystem-to-system inventory, protocols, data flows, dependencies, owners, and risks.
• Messaging BlueprintSynchronous APIs, asynchronous queues, events, streaming, and workflow orchestration patterns.
• Secure File ExchangeSFTP, NDM, MFT, partner gateway, encryption, controls, and audit patterns.
• Operational ControlsMonitoring, retries, error handling, reconciliation, SLA model, and support handoff.

From fragmented analytics to governed data products

We assess where enterprise data lives, why analytics disagree, who owns key data domains, and what engineering roadmap is needed to build trusted analytics and AI-ready data.

Discovery covers operational databases, SaaS systems, internal and external feeds, files, logs, reports, dashboards, KPIs, data owners, stewards, MDM gaps, quality issues, lineage breaks, and fragmented analytics. The roadmap defines how data should move into object storage, warehouse, and lakehouse layers, then become clean, modeled, secure data products.

• Data Discovery ReportSources, systems, files, reports, dashboards, KPIs, ownership, duplication, and analytics discrepancies.
• MDM & Stewardship ModelDomains, owners, stewards, golden records, business rules, reference data, and issue workflow.
• Data Platform BlueprintETL/ELT into object storage, warehouse, lakehouse, transformation, modeling, catalog, lineage, and quality controls.
• Governed Analytics RoadmapLeast-privilege access, RBAC, ABAC, policy controls, curated data products, and reporting modernization.

Secured LLMs, ML, GenAI, and agentic AI over quality data

AI becomes valuable when the data is clean, governed, explainable, and access-controlled. We design secure AI patterns that use enterprise data and documents for decision support without bypassing policy.

Capabilities include AI intelligence for anomaly detection and prevention, fraud detection, policy/process/enterprise document Q&A, secured LLMs with RAG, approved-source retrieval, citations, LangChain-style orchestration, prompt and tool guardrails, model gateway patterns, Bedrock/OpenAI integration, MLflow, feature stores, evaluator harnesses, groundedness checks, schema validation, and safe tool-action controls.

• Secured RAG StackPolicy-aware retriever, context builder, model gateway, response composer, citations, and observability.
• Decision Intelligence Use CasesEnterprise policy, process, knowledge-base, compliance, and operational document decision support.
• ML & Fraud PreventionFeature store, MLflow, anomaly detection, fraud detection, model monitoring, and prevention workflows.
• Agentic Workflow DesignRouter, planner, tool permissions, audit event model, guardrails, and human review handoff.

Cybersecurity, GRC, privacy, and compliance validation

Prasad leads the security practice across security architecture, GRC, risk mitigation, and secure delivery.

Services include cybersecurity capability assessment, enterprise security architecture, cloud security posture, regulatory compliance mapping, AI-powered GRC, continuous compliance, privacy and data governance, ServiceNow/OneTrust/BigID-aligned operating patterns, HITRUST/NIST readiness, OT/ICS security program support, incident response planning, and secure transformation governance.

• Security AssessmentCapability baseline, control maturity, risk register, and remediation priorities.
• Compliance ValidationControl mapping for NIST, HITRUST, HIPAA, GDPR, SOC 2, PCI, and client-specific standards.
• Risk Mitigation PlanOwnership model, remediation roadmap, exception workflow, and executive risk narrative.
• Continuous ComplianceMetrics, evidence, workflow automation, reporting cadence, and operating model.

Managed cloud, data, AI, and security delivery PODs

We support clients and global IT providers with scalable POD-based execution and managed services.

Engagements can be delivered as fixed-price advisory, time-and-material delivery, subcontracted global PODs, or monthly managed services. PODs are structured around architecture, infrastructure, network, integration, engineering, data, AI, security, DevOps, QA, and operations roles with Scrum ceremonies, Jira backlog transparency, Confluence decisions, weekly KPI reporting, burn-up/burn-down visibility, and executive checkpoints.

• Migration FactoryRepeatable runbooks, agile wave execution, test/cutover playbooks, and dependency management.
• Managed DataOpsPipeline monitoring, data quality checks, incident response, and release management.
• Cloud OperationsSRE, observability, FinOps, backup, resilience, and security posture management.
• Partner DeliverySubcontracting support for GSIs, MSPs, consulting firms, and startups needing cloud, AI, data, delivery, or security depth.

Training, executive workshops, and Cloud Readiness Kit

We help teams build shared language, decision clarity, and delivery readiness before large programs begin.

Training and enablement includes cloud readiness workshops, AI-ready data architecture education, RAG/LLM governance briefings, DevSecOps operating model sessions, cybersecurity risk workshops, and executive business-case support.

• Cloud Readiness KitMaturity assessment, workload inventory, prioritization, TCO/ROI calculator, roadmap, and executive business case.
• Executive WorkshopsCloud, data, AI, and cybersecurity decision sessions for leaders and stakeholders.
• Architecture ClinicsReference architecture review, risk review, cost model, and delivery readiness scoring.
• Team EnablementHands-on learning paths for cloud, data, AI, RAG, DevSecOps, and compliance teams.

Strategy, roadmap, GTM, and delivery advisory

We provide senior advisory workshops for teams that need a second pair of experienced eyes before committing budget, sales strategy, architecture direction, or delivery approach.

Workshops can focus on cloud modernization strategy, data and AI roadmap, cybersecurity risk review, startup GTM and consultative selling, sell-to and sell-through partner motions, hybrid delivery models, delivery governance, or enterprise readiness. Startups can borrow enterprise-grade thinking early; enterprises can borrow startup-style agility while keeping security and compliance in the design.

• Advisory MemoClear recommendation, options, risks, assumptions, and next-step decision for leadership.
• Strategy RoadmapPhased plan with MVP scope, milestone outcomes, delivery model, and capability gaps.
• GTM & Sales ReviewConsultative selling narrative, buyer map, partner motion, and delivery credibility points.
• Delivery Confidence PlanScrum/Jira/Confluence operating rhythm, milestones, demos, risk tracking, and governance model.