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RRoots Systems
Advisory • Cyber Security • AI • Big Data

Our Core Services

Advisory & Consulting

We partner with CXOs and IT leadership to shape digital strategies, optimize investments, and build resilient operating models. Our consulting bridges business value with executable technology plans.

Key Focus Areas
  • Enterprise IT strategy and multi-year transformation roadmaps
  • Target Operating Model (TOM), governance, and policy frameworks
  • PMO setup, SLA design, and vendor/partner management
  • Cloud/DC/network modernization and cost optimization (FinOps)
  • RFP/RFI drafting, evaluation scorecards, and OEM/partner selection
  • Change management, ITSM process maturity, and automation
Deliverables
  • Prioritized roadmap with milestones and budgets
  • Architecture decision records (ADRs)
  • Governance pack: policies, standards, KPI deck

Cyber Security

End-to-end security covering governance, architecture, and operations. We emphasize audits, gap analysis, and actionable blueprints that raise maturity without disrupting delivery.

Key Focus Areas
  • Cyber Security Audits & Risk Assessments (ISO 27001, NIST CSF, CERT-In)
  • Gap Assessment & Compliance design (PCI-DSS, RBI/IRDAI, DPDP, GDPR)
  • Designing Cyber Security Roadmaps and technical Blueprints
  • Zero-Trust reference architectures and Identity Governance
  • SOC roadmap, SIEM/SOAR use-case engineering, threat hunting
  • Incident response, BCM/DR strategy, resilience testing
Deliverables
  • Audit & gap report with maturity scoring
  • Target-state blueprint and prioritized remediation plan
  • Control catalog, policies, and implementation playbook

Artificial Intelligence

Responsible AI adoption—from opportunity discovery to safe LLM deployment and measurable value. We combine product sense with data science and engineering.

Key Focus Areas
  • Use-case discovery workshops, value scoring, and feasibility
  • LLM evaluation with guardrails, safety, and observability
  • Prompt engineering and lightweight fine-tuning (LoRA)
  • AI governance (risk, compliance, lifecycle) and model ops
  • Integration into apps, workflows, and agentic experiences
  • Cost/performance monitoring, evaluation harnesses, red-teaming
Deliverables
  • AI opportunity map and business case
  • Model/evaluation report with risk & safety checklist
  • Deployment playbook and runbook

Big Data & Analytics

Design and operate modern data platforms that turn raw data into governed, reliable, and monetizable insights. We set the foundations for analytics and AI at scale.

Key Focus Areas
  • Data lakehouse architecture, ingestion patterns, and CDC
  • Catalog/lineage, data quality, and access governance
  • Streaming + batch pipelines and metrics layer design
  • BI dashboards, KPI trees, experimentation & A/B frameworks
  • ML feature stores, model serving hooks, and MLOps alignment
  • FinOps for data platforms, workload tuning, lifecycle policies
Deliverables
  • Logical & physical data architecture pack
  • Governance playbook (policies, roles, workflows)
  • Analytics KPI catalog and dashboard prototypes