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Digital & Cloud Transformation

Assess. Modernise. Migrate. Operate — with governed outcomes.

Application modernisation, DevOps, data and AI enablement, low-code and custom development, and cloud migration are delivered end-to-end — assessed, designed, implemented, integrated, migrated, remediated, maintained and supported across Amazon Web Services, Microsoft Azure and Google Cloud.

Every engagement is anchored to a measurable business case, delivered under governed engineering practice, and handed over with the operating model — DevOps, FinOps, observability — that keeps modernised software running well after go-live.

"Modernise the software. Migrate the workloads. Govern the outcome."
Delivery Model
Integrated delivery

Assessed, designed, supplied, implemented, integrated, migrated, remediated, maintained and supported end-to-end.

Technology Fit
Multi-cloud & hybrid

AWS, Microsoft Azure, Google Cloud, VMware, Nutanix, Kubernetes and Red Hat OpenShift.

Ongoing Operations
Lifecycle support

Post-implementation support, patching, tuning and cost governance under AMC or managed services.

All transformation practices

  • Refactor to move faster. Rebuild to move further.

    Re-platform, re-architect, containerize and rebuild legacy applications into cloud-native services — with API-led integration, iPaaS and event streams built in so composable business capabilities ship weekly, not annually.

    • API-First
    • Microservices
    • Legacy Refactor
    • Event-Driven
    Explore Application Modernization & APIs
  • Automate the pipeline. Ship with confidence.

    CI/CD pipelines, infrastructure-as-code, GitOps, container orchestration and observability — turn releases into safe, automated everyday events.

    • CI/CD Pipelines
    • Trunk-Based Dev
    • GitOps
    • Test Automation
    Explore DevOps & CI/CD Enablement
  • Trusted data. Applied AI. Measurable outcomes.

    Lakehouses, streaming pipelines, semantic layers, MLOps and generative-AI use cases grounded in retrieval-augmented generation and enterprise guardrails.

    • Data Platform
    • MLOps
    • LLM / GenAI
    • Governance & MDM
    Explore Data & AI Enablement
  • Right delivery model for every application in the backlog.

    Governed low-code, no-code and custom development — Microsoft Power Platform, Mendix, OutSystems and ServiceNow App Engine alongside custom web, mobile and Software-as-a-Service engineering.

    • Power Platform
    • Mendix / OutSystems
    • Custom Web & Mobile
    • SaaS Engineering
    Explore Low-Code, No-Code & Custom Development
  • Anchor the migration to hard numbers before day one.

    Discovery, 6R disposition, landing-zone readiness and TCO / business-case modeling so the migration program is anchored to hard numbers before day one.

    • 6R Assessment
    • TCO Modeling
    • Landing-Zone
    • Business Case
    Explore Cloud Assessment & TCO
  • Rehearsed cutovers with documented rollback.

    Landing-zone, identity and network integration, rehost and replatform execution, data replication, cutover, rollback and hypercare across Amazon Web Services, Microsoft Azure and Google Cloud.

    • Landing Zone
    • Rehost & Replatform
    • Cutover & Rollback
    • Hypercare
    Explore Cloud Migration Waves — Rehost & Replatform
  • Cloud cost under continuous, cross-functional governance.

    Tagging and cost allocation, budgeting, rightsizing, commitment portfolio management and unit-economics reporting under an agreed FinOps operating model.

    • Cost Allocation
    • Rightsizing
    • Commitments
    • Governance
    Explore FinOps & Cost Optimization
  • Repeatable wave delivery at consistent quality.

    Factory operating model — governance, migration pods, standardized playbooks, automated tracking and evidence-based change control — for delivering successive migration waves reliably.

    • Governance
    • Migration Pods
    • Playbooks
    • Evidence & Audit
    Explore Migration Factory

Transformation lanes

Four accountable lanes. One transformation lifecycle. Multi-vendor across cloud, application and data platforms.

  1. Modernise the software

    Applications, APIs and engineering practice

  2. Unlock data & AI

    Governed data platform and applied AI use cases

  3. Migrate the workloads

    Assessment, wave delivery and repeatable factory

  4. Govern cloud economics

    FinOps, tagging, rightsizing and commitments

Operational signals

Common transformation gaps

  • Strategy that does not translate into shipped software

    Target architectures and roadmaps stall without an integration partner accountable for implementation and operational handover.

  • Fragmented delivery across teams and vendors

    Cloud, application, data and security tracks run independently, producing inconsistent architecture, security posture and cost outcomes.

  • Incomplete or unstable implementations

    Environments handed over half-built, without runbooks, guardrails or observability, create operational risk and unplanned rework.

  • Cloud cost that outruns the business case

    Programs launch without tagging, rightsizing or commitment management, and lose the economic case that justified the migration.

Engagement lifecycle

Delivery approach

A single coordinated engagement across assessment, architecture, engineering delivery, integration and post-go-live support — sized to the agreed statement of work.

  1. Assess

    Discovery across applications, data, infrastructure and delivery practice. Deliverables include disposition, dependency mapping, target-state options and sequencing.

  2. Design

    Reference architecture, integration patterns, security controls, DevOps and FinOps operating model documented and agreed with technology and business stakeholders.

  3. Implement

    Build, migrate and integrate under source control and Infrastructure as Code, with automated testing, controlled cutover and rollback procedures per release.

  4. Operate & Optimize

    Hypercare, tuning, cost governance and continuous improvement under the agreed support or managed-services scope, with measurable operational KPIs.

Shared delivery authority

Every practice runs on the same foundations — assessment-led scope, governed engineering, DevOps automation and FinOps governance.

  • Assessment-Led
  • Governed Engineering
  • Multi-Vendor
  • AWS · Azure · GCP
  • DevOps & FinOps
  • Hypercare & AMC

Fix What's Broken — Remediation Sprints

A stalled project, a failed go-live, or an inherited design that isn't delivering the outcome? We run fixed-scope rescue and remediation engagements — defined scope, defined outcome, no open-ended hours.

  • Architecture, design and delivery-plan review with corrective actions
  • Integration, data and process remediation with test evidence
  • Cutover, hypercare and knowledge-transfer for a clean handover
Request a remediation scope

Support & Maintenance — AMC-Backed

Beyond go-live, retain us on tap — architecture guidance, enhancement backlog and lifecycle governance under a Jiva professional-services AMC.

  • Retainer-based architecture, design authority and technical governance
  • Enhancement backlog delivery with prioritisation and quarterly roadmaps
  • Vendor coordination, upgrade planning and lifecycle refresh advisory
Explore AMC & support contracts

Digital & Cloud Transformation FAQs

Assessment, design, implementation, integration, migration and lifecycle support across application, data and cloud platforms.

Continue exploring

Deliver the transformation outcome

Assess, modernise, migrate or operate under one program

Review applications, data, cloud and delivery practice against measurable business objectives. Jiva Technologies can consult, design, implement, integrate, migrate, remediate and support a phased transformation program aligned to business priorities.