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."
Assessed, designed, supplied, implemented, integrated, migrated, remediated, maintained and supported end-to-end.
AWS, Microsoft Azure, Google Cloud, VMware, Nutanix, Kubernetes and Red Hat OpenShift.
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
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
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
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
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
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
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
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
Transformation lanes
Four accountable lanes. One transformation lifecycle. Multi-vendor across cloud, application and data platforms.
- Modernise the software
Applications, APIs and engineering practice
Refactor to move faster. Rebuild to move further.
Automate the pipeline. Ship with confidence.
Right delivery model for every application in the backlog.
- Unlock data & AI
Governed data platform and applied AI use cases
Trusted data. Applied AI. Measurable outcomes.
- Migrate the workloads
Assessment, wave delivery and repeatable factory
Anchor the migration to hard numbers before day one.
Rehearsed cutovers with documented rollback.
Repeatable wave delivery at consistent quality.
- Govern cloud economics
FinOps, tagging, rightsizing and commitments
Cloud cost under continuous, cross-functional governance.
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.
Delivery approach
A single coordinated engagement across assessment, architecture, engineering delivery, integration and post-go-live support — sized to the agreed statement of work.
- Assess
Discovery across applications, data, infrastructure and delivery practice. Deliverables include disposition, dependency mapping, target-state options and sequencing.
- Design
Reference architecture, integration patterns, security controls, DevOps and FinOps operating model documented and agreed with technology and business stakeholders.
- Implement
Build, migrate and integrate under source control and Infrastructure as Code, with automated testing, controlled cutover and rollback procedures per release.
- Operate & Optimize
Hypercare, tuning, cost governance and continuous improvement under the agreed support or managed-services scope, with measurable operational KPIs.
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
End-to-End IT Integration and Support
From assessment and solution design through implementation, remediation, ongoing support, and lifecycle optimization.
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
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
Digital & Cloud Transformation FAQs
Assessment, design, implementation, integration, migration and lifecycle support across application, data and cloud platforms.
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Related services
- Enterprise Applications (ERP / CRM)
End-to-end digital and cloud transformation: modernisation, DevOps, Data & AI, cloud assessment, migration, FinOps and low-code under one programme.
- IT Advisory & Strategy
Advisory on target architecture, technology strategy, cloud economics, operating model and vendor selection to underpin transformation programs.
- Managed IT Services
Run modernized platforms with service-desk, infrastructure, cloud, endpoint and security operations under the agreed service-level scope.
- IT Infrastructure & Cloud
Design, integrate and support compute, storage, network, virtualization and hybrid-cloud platforms that host modernised applications.
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.

