Case Studies
Real-world success stories from our clients
Explore how leading enterprises have transformed their operations with our cloud, AI, and security solutions. Discover measurable results and proven ROI.
Digital transformation
Cost savings achieved
Revenue growth
Operational efficiency
Risk mitigation
Cloud-Native Omnichannel Retail Platform
Enterprise Profile
A multi-brand retailer operating stores, e-commerce and marketplace channels across multiple regions.
Problem Statement
- Online demand increased sharply during promotions, while the existing data centre environment required manual capacity changes and could not scale consistently.
- Customer, product, inventory and order data were distributed across separate platforms, creating delayed stock visibility and inconsistent customer experiences.
- Release windows were infrequent because infrastructure provisioning, security approvals and rollback planning were largely manual.
Solution Proposed
- Established a secure cloud landing zone with segmented accounts, identity federation, policy controls, central logging and automated guardrails.
- Re-platformed the digital commerce workload onto managed Kubernetes and cloud-native data services, while retaining selected store systems through secure hybrid connectivity.
- Introduced API-led integration for inventory, pricing, loyalty and order management, with event streaming to provide near-real-time updates across channels.
- Implemented infrastructure as code, automated deployment pipelines, autoscaling, backup, disaster recovery and cost governance using tagging and FinOps dashboards.
Outcome of the Solution
99.95%
Target for digital channels
Up to 5x
Promotional traffic supported
Weekly+
From monthly releases to several per week
18–22%
Lower run-rate through right-sizing
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Re-engineering Legacy Order and Store Operations
Enterprise Profile
A national retailer dependent on tightly coupled point-of-sale, warehouse and order-management applications.
Problem Statement
- The core order application used monolithic code, direct database integrations and long release cycles, making even small changes risky.
- Store teams experienced intermittent synchronization failures between POS, warehouse and e-commerce systems, leading to manual reconciliation.
- Testing was environment-dependent and regression coverage was limited, resulting in production defects and extended weekend deployments.
Solution Proposed
- Decomposed the highest-change business capabilities - order capture, fulfilment, returns and inventory reservation - into domain-aligned services behind stable APIs.
- Introduced a strangler migration pattern so new services could progressively replace legacy functions without a high-risk big-bang cutover.
- Created automated build, unit, API, regression, security and performance pipelines with immutable release artefacts and controlled feature flags.
- Implemented database change automation, contract testing, environment templates and deployment strategies including blue-green and canary releases.
Outcome of the Solution
Bi-weekly
From quarterly to bi-weekly releases
Up to 45%
Faster peak throughput
35%
Reduction in escaped defects
70%
Faster store-sync recovery
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Peak-Season Reliability for Digital Commerce
Enterprise Profile
An omnichannel retailer whose revenue is concentrated around flash sales, festive campaigns and limited-time promotions.
Problem Statement
- Customer journeys failed during traffic spikes because application, payment, inventory and third-party dependencies were monitored separately.
- Operations teams were flooded with infrastructure alerts but lacked service-level indicators for search, cart, checkout and payment completion.
- Incident response depended on a few specialists, while post-incident reviews did not consistently translate into engineering improvements.
Solution Proposed
- Defined service level objectives for critical journeys, supported by error budgets and business-aligned indicators such as checkout success and payment latency.
- Built end-to-end observability using distributed tracing, real-user monitoring, synthetic journeys, log correlation and dependency maps.
- Created event-specific capacity models, failure-mode tests, game days and pre-approved rollback procedures for promotion periods.
- Established an SRE operating model with incident command, automated diagnostics, runbooks, blameless reviews and a reliability backlog governed with product teams.
Outcome of the Solution
99.98%
Achieved during major campaigns
~60%
Reduction in mean time to recover
40%
Fewer repeat priority incidents
Up to 18%
Lower checkout abandonment
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
AI-Led Demand, Inventory and Customer-Service Optimisation
Enterprise Profile
A retailer managing thousands of SKUs across stores, warehouses and online channels.
Problem Statement
- Demand forecasts were based on broad historical averages and did not adequately account for promotions, local events, weather or channel shifts.
- Stockouts and excess inventory occurred simultaneously across locations, increasing lost sales, transfers and markdowns.
- Customer-service agents spent significant time searching policies, product information and order history before responding.
Solution Proposed
- Built SKU-location forecasting models combining sales history, promotions, price, seasonality, events and fulfilment constraints.
- Created replenishment recommendations with confidence ranges, exception workflows and human approval for high-value or volatile categories.
- Implemented a retrieval-augmented generation assistant grounded in approved product, policy and order data, with access controls and response citations.
- Introduced model monitoring, drift detection, prompt governance, feedback capture and measurable business controls before expanding automation.
Outcome of the Solution
15–18%
Improvement for priority categories
20–25%
Reduction in stockouts
10–12%
Reduction in avoidable markdowns
25–30%
Lower average handling time
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Hybrid Cloud Platform for Connected Plants
Enterprise Profile
A discrete manufacturer operating multiple plants with separate infrastructure, engineering systems and reporting environments.
Problem Statement
- Each plant managed local servers and applications independently, resulting in inconsistent controls, high support effort and slow rollout of improvements.
- Production data remained isolated within MES, historian, quality and maintenance systems, limiting enterprise visibility.
- Cloud adoption was constrained by concerns around OT security, network reliability, latency and continuity of plant operations.
Solution Proposed
- Designed a hybrid cloud architecture that retained latency-sensitive control workloads at the edge while centralising analytics, integration and management services.
- Created a standard landing zone, network segmentation model and secure edge gateway pattern for plant-to-cloud data movement.
- Established an industrial data platform using streaming ingestion, time-series storage and governed data products for production, quality and energy use.
- Automated environment provisioning, patching, backup, policy enforcement, cost allocation and disaster-recovery testing across plants.
Outcome of the Solution
Minutes
Plant insights reduced from hours to minutes
< 2 hours
New environments in under two hours
All plants
Common platform controls across all plants
~20%
Lower support run-rate
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Modernising Manufacturing Execution and Maintenance Applications
Enterprise Profile
A process manufacturer relying on custom MES extensions and spreadsheet-driven maintenance workflows.
Problem Statement
- Production changes required modifications across tightly coupled screens, batch programs and database procedures, delaying plant improvements.
- Maintenance work orders, spare-part records and failure history were fragmented across systems and spreadsheets.
- Releases were manually packaged and deployed plant by plant, with limited automated testing and inconsistent configuration.
Solution Proposed
- Re-engineered high-value workflows into modular services for production orders, downtime, quality events, work orders and spare-parts requests.
- Introduced responsive web and mobile applications designed for shop-floor use, including offline-tolerant data capture where connectivity was intermittent.
- Created a reusable integration layer for ERP, MES, historian, laboratory and asset-management systems using APIs and event-driven patterns.
- Implemented DevSecOps pipelines, test automation, versioned configurations, automated database migration and controlled release promotion across plants.
Outcome of the Solution
~2 weeks
Change lead time cut from eight weeks to approximately two
35%
Fewer post-release defects
End-to-end
Digital audit trail
40%
Faster deployment to new sites
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Reliability Engineering for Plant Digital Services
Enterprise Profile
A manufacturer where production planning, MES, quality and warehouse systems directly influence plant output.
Problem Statement
- Application interruptions caused production delays, but monitoring focused on server health rather than production-line impact.
- OT, infrastructure and application teams used separate tools and escalation paths, increasing diagnosis time during incidents.
- Alert volumes were high and recurring failures were treated operationally rather than removed through engineering changes.
Solution Proposed
- Mapped business services to production lines, plant processes and technology dependencies to establish a shared reliability view.
- Defined SLOs for production-order release, machine-data ingestion, quality transactions and warehouse confirmation, with error-budget governance.
- Implemented unified observability across edge, network, platform, applications and industrial integrations, including synthetic transaction checks.
- Introduced automated triage, runbook execution, resilience testing, incident command and problem-management reviews linked to an engineering backlog.
Outcome of the Solution
30–35%
Reduction in unplanned digital downtime
~50%
Faster restoration
30%
Lower change-failure rate
Up to 60%
Reduction in non-actionable alerts
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Predictive Maintenance and Visual Quality Intelligence
Enterprise Profile
A manufacturer seeking to improve equipment availability and product quality without replacing existing control systems.
Problem Statement
- Maintenance was predominantly calendar-based or reactive, leading to avoidable failures and unnecessary part replacement.
- Quality inspection depended on manual sampling, which was slow and could miss subtle or intermittent defects.
- Sensor, maintenance, quality and production data were not aligned sufficiently to train and operationalise reliable models.
Solution Proposed
- Created a governed asset data model linking sensor signals, operating conditions, work orders, failure codes and production context.
- Developed anomaly detection and remaining-useful-life models for selected critical assets, with risk scores integrated into maintenance planning.
- Introduced computer-vision inspection for defined defect classes, using human review for low-confidence results and continuous model improvement.
- Established MLOps controls for dataset versioning, validation, deployment, drift monitoring, explainability and rollback.
Outcome of the Solution
20–25%
Reduction for targeted assets
12–15%
Reduction in selected lines
Up to 3x
Faster inspection throughput
20%
Improvement in maintenance schedule adherence
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Compliant Hybrid Cloud Foundation for Digital Banking
Enterprise Profile
A regulated financial institution modernising customer-facing services while retaining core systems in controlled environments.
Problem Statement
- Project teams provisioned infrastructure through lengthy ticket-based processes, causing environment delays and configuration inconsistency.
- Security, regulatory and audit controls were applied late in the lifecycle, increasing rework and limiting cloud adoption.
- Disaster recovery depended on manual procedures and infrequent tests, creating uncertainty around recovery objectives.
Solution Proposed
- Built a compliant multi-account or subscription landing zone with identity federation, network segmentation, encryption, central logging and policy-as-code.
- Created pre-approved platform blueprints for web, API, data and integration workloads, including private connectivity to core banking systems.
- Automated evidence collection for configuration, vulnerability, privileged access, backup and change controls.
- Implemented multi-zone resilience, tested recovery patterns, immutable backups and cost governance aligned to application ownership.
Outcome of the Solution
1 day
Provisioning cut from six weeks to one business day
90%+
Of baseline controls automated
30 min
RTO improved from two hours to 30 minutes
12–15%
Savings through standardisation
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Digital Loan Origination Re-engineering with DevSecOps
Enterprise Profile
A bank operating a legacy loan-origination platform with manual hand-offs across sales, credit, operations and compliance.
Problem Statement
- Application changes required long coordinated releases, while business rules were embedded across code, workflows and database procedures.
- Document checks and data entry were duplicated across teams, increasing turnaround time and operational errors.
- Security testing occurred near release, creating late remediation and uncertainty around open-source and API risk.
Solution Proposed
- Redesigned the customer and operations journeys around reusable services for application capture, document handling, eligibility, underwriting and fulfilment.
- Externalised configurable business rules and introduced workflow orchestration with clear audit trails and exception queues.
- Implemented API-first integration with customer, credit-bureau, identity, document and core-banking services.
- Established DevSecOps pipelines with automated code, dependency, container, API, functional, regression and performance testing plus gated production promotion.
Outcome of the Solution
< 24 hours
From five days, for eligible cases
Bi-weekly
From quarterly to bi-weekly releases
30%
Higher straight-through processing
45%
Reduction in recurring vulnerabilities
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
SRE Transformation for Real-Time Payments
Enterprise Profile
A payment platform supporting mobile, internet banking, merchant and partner transactions around the clock.
Problem Statement
- Availability was measured at infrastructure level even though customers experienced failures caused by downstream services, latency and timeouts.
- Incident diagnosis required manual correlation across channels, APIs, payment switches, fraud services, databases and external networks.
- Change freezes were used to protect stability, but they slowed delivery without systematically reducing operational risk.
Solution Proposed
- Defined transaction-centric SLIs and SLOs for initiation, authorisation, completion, latency and reconciliation, segmented by channel and payment type.
- Implemented full-stack observability and distributed tracing with correlation IDs across internal and external dependencies.
- Introduced error budgets, progressive delivery, automated rollback, capacity testing and pre-production resilience validation.
- Created a 24x7 SRE model with incident command, automated diagnostics, service ownership, blameless reviews and reliability engineering priorities.
Outcome of the Solution
99.99%
Service objective for critical flows
~55%
Faster restoration
25–30%
Reduction in avoidable failures
Zero
Capacity-related incidents in peak windows
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
AI-Assisted Fraud Detection and Investigation
Enterprise Profile
A bank or payments provider processing high transaction volumes with growing fraud complexity and analyst workload.
Problem Statement
- Rule-based controls generated high false-positive volumes, while new fraud patterns emerged faster than rule updates.
- Investigators spent substantial time gathering transaction, device, customer and case information from multiple systems.
- Model governance, explainability and auditability were mandatory before AI recommendations could influence operational decisions.
Solution Proposed
- Combined rules, supervised models, anomaly detection and graph features to produce risk scores for selected transaction types.
- Built a governed investigator workspace that assembled relevant evidence and used retrieval-augmented generation to summarise cases from authorised sources.
- Implemented human-in-the-loop decisions, reason codes, model explainability, threshold tuning and protected-group testing where applicable.
- Established MLOps and model-risk controls covering approval, versioning, performance monitoring, drift, challenger models and rollback.
Outcome of the Solution
10–12%
Improvement in recall at controlled thresholds
15–20%
Reduction in false positives
30–35%
More cases reviewed per analyst
Near real time
Priority-case triage reduced from minutes
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Secure Cloud Platform for Patient Engagement
Enterprise Profile
A hospital network expanding digital appointments, patient communication, teleconsultation and partner integration.
Problem Statement
- Patient-facing applications were hosted on ageing infrastructure with limited scaling and inconsistent disaster-recovery capability.
- New hospitals and partner clinics required lengthy infrastructure and integration setup before they could join the digital platform.
- Health information needed strong privacy, encryption, access control, auditability and interoperability safeguards.
Solution Proposed
- Established a secure cloud landing zone with private networking, encryption, identity federation, privileged access controls and central audit logging.
- Modernised patient engagement services onto a scalable container and managed-data platform with multi-zone resilience.
- Created FHIR-based APIs and an integration layer for appointments, demographics, reports and notifications, aligned to applicable health-data regulations.
- Implemented automated backup, disaster recovery, infrastructure as code, vulnerability management and data-lifecycle controls.
Outcome of the Solution
99.95%
Target for patient services
~2 weeks
Onboarding cut from eight weeks to approximately two
4x
Growth in digital interactions supported
15–18%
Lower infrastructure run-rate
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Re-engineering Hospital Workflow and Patient Operations
Enterprise Profile
A multi-specialty hospital using fragmented applications and manual coordination for patient movement and discharge.
Problem Statement
- Registration, bed management, diagnostics, pharmacy and discharge processes relied on disconnected screens, calls and spreadsheets.
- Changes to hospital workflows were difficult because logic was embedded in a monolithic application and vendor-specific interfaces.
- Limited automated testing made releases disruptive and encouraged long change freezes.
Solution Proposed
- Redesigned priority patient journeys with modular workflow services for registration, bed allocation, diagnostic status, discharge tasks and notifications.
- Introduced role-based web and mobile experiences for front desk, nursing, diagnostics, pharmacy and operations teams.
- Created standards-based APIs using FHIR/HL7 adapters to integrate with HIS, LIS, RIS/PACS, pharmacy and billing systems.
- Implemented DevSecOps with automated tests, synthetic patient data, environment templates, security checks and controlled release promotion.
Outcome of the Solution
Up to 20%
Reduction in avoidable waiting
30–35%
Faster discharge completion
40%
Lower effort for new interfaces
Monthly
Releases with lower operational disruption
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
Digital Reliability for Clinical and Telehealth Services
Enterprise Profile
A healthcare provider dependent on electronic records, integration services, teleconsultation and patient portals.
Problem Statement
- Clinical teams experienced intermittent slowdowns and integration failures, but technical monitoring did not show which patient or care workflows were affected.
- Incident escalation crossed application, infrastructure, network, integration and vendor teams, increasing restoration time.
- Planned changes were assessed mainly by technical component rather than by patient-service risk and recovery readiness.
Solution Proposed
- Defined service maps and SLOs for patient lookup, clinical-document access, order/result exchange, teleconsultation and portal authentication.
- Implemented end-to-end observability across user experience, APIs, integration engines, databases, infrastructure and external partners.
- Created clinical-priority incident paths, automated diagnostics, failover runbooks, synthetic tests and resilience exercises outside care-critical windows.
- Established joint SRE governance with care-operations stakeholders, error budgets, post-incident reviews and a prioritised reliability backlog.
Outcome of the Solution
40–45%
Reduction in repeat incidents
~50%
Faster restoration
15%
Improvement in successful session completion
99.95%
Target for critical digital workflows
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.
AI-Assisted Clinical Document and Patient-Service Intelligence
Enterprise Profile
A hospital group managing large volumes of referral letters, discharge summaries, reports, policies and patient enquiries.
Problem Statement
- Clinical and administrative staff spent significant time locating, classifying and summarising documents from multiple repositories.
- Coding and referral workflows required repetitive extraction of structured fields from unstructured documents.
- Any AI capability needed to avoid autonomous diagnosis, protect patient data and provide traceable sources for human review.
Solution Proposed
- Implemented document ingestion, classification and structured extraction for selected administrative and clinical-document workflows.
- Created a retrieval-augmented assistant grounded only in authorised records, approved knowledge and policies, with citations and role-based filtering.
- Used human validation for summaries, coding suggestions and referral routing, with confidence thresholds and escalation for uncertain cases.
- Established privacy controls, prompt and model governance, quality evaluation, hallucination checks, audit logs and continuous feedback monitoring.
Outcome of the Solution
60–70%
Faster document handling
10–15%
Improvement in selected coding fields
~30%
Staff time released
Minutes
Routine query response reduced from hours to minutes
Technology and Tooling
Tech Stack Used
Tools Used
Representative solution pattern — to be tailored after discovery and architecture assessment.