Our team holds over 15 industry certifications and has delivered enterprise-grade solutions across eight sectors. From SAP landscapes to AI platforms, we bring the depth of knowledge that complex organisations demand.
Every engagement below reflects our commitment to architectural excellence, industry best practice and certified expertise. We do not just implement technology; we design solutions that are scalable, resilient and aligned with long-term business strategy.
A global energy organisation with operations spanning upstream exploration, downstream refining and trading required a complete migration from SAP ECC 6.0 to SAP S/4HANA on Microsoft Azure. The programme encompassed 15,000 users across 12 business units in 9 countries, with the immovable constraint of zero unplanned downtime for any critical business process.
Hibba was appointed as the lead technical architecture partner, responsible for designing the Azure landing zone, planning the migration waves and ensuring interoperability with over 40 satellite systems. Our team of SAP Basis consultants, Azure Solutions Architects and enterprise integration specialists worked alongside the client's internal IT organisation and a global systems integrator to deliver the programme over 18 months.
The Azure landing zone was designed following the Microsoft Cloud Adoption Framework, with dedicated subscriptions for each business unit, hub-and-spoke networking for centralised security controls and Azure ExpressRoute for low-latency connectivity to on-premises data centres. We implemented Azure NetApp Files for SAP HANA persistent storage, delivering the throughput and IOPS required for the organisation's 12 terabyte HANA database.
The migration was executed in five waves, with each wave involving a dedicated cutover weekend supported by automated runbooks and rollback procedures. We designed a comprehensive testing strategy that included functional regression, performance benchmarking and disaster recovery validation for every wave. Integration testing covered SAP PI/PO interfaces, IDOC flows and custom RFC connections to legacy systems.
The programme was delivered on schedule and within budget. Post-migration, batch processing times improved by 60%, month-end close was reduced from five days to two, and the organisation gained access to SAP's embedded analytics capabilities for the first time. The platform now supports real-time inventory visibility across all downstream operations, a capability that was previously impossible on the legacy ECC landscape.
A leading pharmaceutical company was drowning in manual document review. Their regulatory affairs team processed thousands of clinical trial documents, adverse event reports and submission packages each quarter. The average review time per document was 45 minutes, and the growing volume of submissions was creating a bottleneck that threatened to delay product launches.
Hibba designed and built an AI-powered document processing system using Azure Cognitive Services, custom machine learning models and a purpose-built review workflow. The system used Azure Form Recogniser for structured data extraction, custom Named Entity Recognition models trained on pharmaceutical terminology and a classification engine that automatically categorised documents by type, therapeutic area and regulatory jurisdiction.
We built custom ML models using Azure Machine Learning, training them on over 100,000 historical documents with domain expert annotations. The models achieved 95% accuracy on entity extraction and 98% accuracy on document classification after three rounds of iterative refinement. A human-in-the-loop review interface allowed regulatory specialists to verify, correct and approve AI-generated outputs, with every correction feeding back into the model training pipeline.
The system reduced manual review time by 85%, enabling the regulatory affairs team to process three times more documents with the same headcount. Time-to-submission for new drug applications decreased by four weeks on average, directly accelerating the organisation's ability to bring treatments to market. The platform also provided an audit trail that satisfied FDA and EMA inspection requirements.
A FTSE 100 retailer was struggling to scale its digital commerce platform during peak trading periods. Their monolithic application architecture, hosted on traditional virtual machines, could not handle the traffic surges associated with Black Friday, Boxing Day and seasonal promotions. The organisation engaged Hibba to design and implement a cloud-native container platform that would provide the elasticity and resilience required for modern retail at scale.
We architected a comprehensive Kubernetes platform on Azure Kubernetes Service (AKS), incorporating Istio service mesh for traffic management, Flux CD for GitOps-based deployments and Prometheus with Grafana for observability. The platform was designed with multi-tenancy in mind, supporting over 20 development teams with namespace isolation, resource quotas and role-based access controls.
Migration of existing applications from VMs to containers was executed incrementally using the strangler fig pattern, allowing the retailer to decompose their monolith into microservices without a risky big-bang migration. We provided hands-on training and pair programming sessions with internal development teams, building lasting capability within the organisation.
The platform achieved 99.99% uptime over its first year of operation, including two Black Friday events. Auto-scaling during peak periods handled traffic increases of up to 800% without manual intervention. Deployment frequency increased from monthly to daily, and the average time from code commit to production decreased from two weeks to under one hour.
A prominent UK membership organisation with over 150,000 members was burdened by manual administrative processes. Event registrations, membership renewals, CPD tracking and committee coordination all relied on spreadsheets, email chains and legacy bespoke applications. The organisation wanted to empower its non-technical staff to automate their own workflows using Microsoft Power Platform, but lacked the governance framework and technical foundations to do so safely.
Hibba established a Power Platform Centre of Excellence (CoE) that provided the governance, architecture and enablement required for a successful citizen developer programme. We implemented the Microsoft CoE Starter Kit, configured Data Loss Prevention policies, established environment management strategies and built a suite of reusable components including custom connectors, templates and approval workflows.
Over 50 automated workflows were deployed in the first six months, ranging from simple approval chains to complex multi-step processes involving Dataverse, SharePoint, Teams and external APIs. Key solutions included an automated event management system that reduced registration processing time by 70%, a membership renewal workflow that eliminated manual data entry entirely and a CPD tracking application that provided real-time dashboards to both members and administrators.
We trained 30 citizen developers across five departments, establishing a self-sustaining community of practice that continues to build and maintain Power Platform solutions. The IT team retained oversight through the CoE governance framework, with automated compliance checks and usage analytics ensuring that the growing estate of citizen-built applications remained secure and well-managed.
A global manufacturer of high-performance consumer electronics sought to modernise its production facilities by implementing an Industrial IoT (IIoT) data platform. The goal was to collect, process and analyse sensor data from thousands of devices across multiple assembly lines, enabling predictive maintenance, quality optimisation and real-time production visibility.
Hibba designed and deployed an end-to-end IoT data platform using Azure IoT Hub for device management and telemetry ingestion, Azure Stream Analytics for real-time event processing and Azure Data Explorer for time-series analytics at scale. The platform ingested data from over 5,000 sensors measuring temperature, vibration, humidity, torque and optical quality metrics across three manufacturing sites.
We built custom predictive maintenance models using Azure Machine Learning that analysed historical sensor patterns to predict equipment failures before they occurred. The models achieved 92% accuracy in predicting failures up to 48 hours in advance, enabling the maintenance team to schedule interventions during planned downtime windows rather than reacting to unplanned breakdowns.
The platform provided real-time dashboards accessible on the factory floor via ruggedised tablets, giving production supervisors immediate visibility into line performance, quality metrics and equipment health. Alerts were configured to notify relevant teams via Microsoft Teams when sensor readings exceeded predefined thresholds, enabling rapid intervention before quality was compromised.
Within the first year, unplanned downtime decreased by 45%, product defect rates fell by 30% and overall equipment effectiveness (OEE) improved by 12 percentage points. The platform has since been expanded to incorporate supply chain data, enabling end-to-end visibility from raw material intake to finished product dispatch.
Our certified architects and engineers bring decades of combined experience across enterprise technologies. These are the areas where deep, specialist knowledge makes the critical difference between project success and costly failure.
Design resilient, scalable architectures that align with business strategy and technology roadmaps. Our architects hold certifications across Azure, AWS, SAP and TOGAF, enabling them to design solutions that integrate seamlessly into complex enterprise estates. We specialise in reference architectures, technology governance and architectural decision records.
Transform ageing systems into modern, cloud-native platforms without disrupting operations. We use proven patterns including the strangler fig, anti-corruption layers and domain-driven design to incrementally modernise legacy estates. Our approach minimises risk while delivering measurable improvements in performance, maintainability and cost efficiency at every stage.
Move beyond proof-of-concept and deploy AI models into production with proper MLOps, monitoring and governance. Our data scientists and ML engineers build end-to-end pipelines covering data preparation, model training, validation, deployment and continuous retraining. We specialise in natural language processing, computer vision and predictive analytics.
Build internal developer platforms that accelerate delivery and enforce best practice. We design and implement Kubernetes platforms, CI/CD pipelines, infrastructure-as-code frameworks and developer portals that enable development teams to ship faster while maintaining security and compliance. Our platforms are built for self-service, reducing bottlenecks and ticket-driven workflows.
Define and execute a data strategy that turns raw information into competitive advantage. We help organisations design data architectures, implement governance frameworks, build analytics platforms and establish data quality programmes. From data lakehouse architectures to real-time streaming platforms, we deliver the foundations for data-driven decision-making.
Drive holistic digital transformation programmes that span technology, processes and people. We work with executive leadership to define transformation roadmaps, establish programme governance and deliver the technology enablers that underpin organisational change. Our approach balances quick wins with strategic long-term investments for sustainable transformation.
From global energy majors to innovative consumer brands, our clients choose Hibba for the depth of expertise and enterprise-grade rigour we bring to every engagement.
Our certified architects and engineers are ready to tackle your most complex technical challenges. From strategy through to delivery, we bring the depth of knowledge that enterprise organisations require.
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