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Case Studies

Real results from
intelligent operations.

How we help enterprises across the UAE and beyond transform their operations with AI-augmented intelligence, DevOps automation, and cloud infrastructure.

AI Automation
Automating Compliance Reporting with AI-Driven Document Intelligence
Al Raha Financial Group · Financial Services, Abu Dhabi

Replaced 120+ hours of manual regulatory reporting with an AI document processing pipeline, achieving consecutive clean audits.

87%
Reduction in manual hours
0.3%
Error rate from 4.2%
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DevOps
From 4-Hour Deploys to 12-Minute Pipelines: Rebuilding CI/CD for Scale
NexaLogistics · Logistics & Supply Chain, Dubai

Transformed a manual deployment bottleneck into a fully automated pipeline with canary deployments and zero-downtime releases.

12 min
Deploy time from 4 hours
8x/week
Release frequency
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Cloud
Migrating Critical Patient Systems to a Compliant Cloud Architecture
Gulf Healthcare Network · Healthcare, UAE

Architected a hybrid cloud migration for a multi-facility healthcare network while maintaining full UAE data residency compliance.

99.97%
System uptime
34%
Cost reduction
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Managed Intelligence
Predictive Operations: AI-Powered Building Management Across 14 Properties
Meridian Property Group · Real Estate & Property, Dubai

Consolidated six fragmented monitoring dashboards into a unified AIOps platform with predictive alerting and automated remediation.

52%
Fewer unplanned incidents
38 min
Mean time to resolve
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Strategy
AI Readiness Assessment and Transformation Roadmap for an Energy Conglomerate
Taqa Digital Ventures · Energy & Utilities, Abu Dhabi

Conducted a comprehensive 6-week AI readiness assessment across 8 business units, delivering a prioritised 18-month transformation roadmap.

12
AI use cases identified
60 days
To first pilot launch
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Managed Intelligence
Zero-Trust Security Architecture with AI-Enabled Threat Detection for a Construction Enterprise
INC Construction · Construction & Engineering, Dubai

Overhauled tenancy-wide security posture with AI-enabled SIEM, multi-layered policy enforcement, and self-healing remediation — transforming reactive incident response into autonomous threat containment.

Multi-layer
Security policies deployed
AI-enabled
SIEM & self-healing
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Strategy
Enterprise-Wide Digital Transformation Across 8 Workstreams for a National Programme Office
National Projects Office · Government & Public Sector, UAE

Delivered a complete digital transformation programme spanning 8 workstreams — unifying digital and IT disciplines under a single strategic architecture with measurable operational outcomes.

8
Workstreams delivered
End-to-end
Digital & IT integration
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AI Automation
Identity Threat Defence, AI-Driven Procurement, and Full M365 Integration for a Professional Services Firm
Carter Stephenson Quinn · Professional Services, UAE

Deployed Huntress ITDR and EDR alongside Microsoft Copilot, integrated Dropbox with a full M365 tenancy, and implemented an AI-driven procurement platform — modernising security, productivity, and operations in a single engagement.

Full stack
Security + productivity
AI-driven
Procurement platform
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Strategy
End-to-End Telehealth Platform Design and Build with AI-Driven Triage
Delta HealthGrid · Healthcare & Telehealth

Architected and built a complete telehealth platform from zero — onboarding with identity verification, patient dashboards, prescriptions, appointments, interactive health centre mapping, video consultations, and an AI-driven triage system designed for on-premise deployment.

8
Core modules delivered
Full stack
Product architecture
View Case Study →
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AI Automation

Automating Compliance Reporting with AI-Driven Document Intelligence

Al Raha Financial Group · Financial Services, Abu Dhabi
87%
Reduction in manual hours
0.3%
Error rate from 4.2%
3
Consecutive clean audits
1.2M
AED annual savings
Challenge
120+ hours of manual reporting each quarter
Al Raha Financial Group's compliance team was spending over 120 hours per quarter manually preparing regulatory reports for ADGM and CBUAE. With a 4.2% error rate in document processing, the risk of audit findings was increasing alongside operational costs.
Solution
Claude AI-powered document processing pipeline
We designed and deployed an AI document processing pipeline powered by Claude API, capable of extracting, classifying, and cross-referencing financial data against the ADGM regulatory framework. Azure Functions handled orchestration, with Power BI delivering real-time compliance dashboards.
Results
From 120 hours to 16 — with near-zero errors
Quarterly reporting time dropped from 120+ hours to just 16, while the error rate fell from 4.2% to 0.3%. The firm achieved three consecutive clean audits and realised AED 1.2M in annual savings from reduced manual effort and eliminated rework cycles.
Technology Stack
Claude API Python Azure Functions Power BI Custom Document Pipeline
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DevOps

From 4-Hour Deploys to 12-Minute Pipelines: Rebuilding CI/CD for Scale

NexaLogistics · Logistics & Supply Chain, Dubai
12 min
Deploy time from 4 hours
3%
Rollback rate from 22%
8x/week
Release frequency
0
Downtime incidents
Challenge
4-hour deployments with a 22% rollback rate
NexaLogistics was deploying twice a month through a manual, error-prone process that averaged 4 hours per release. A 22% rollback rate meant nearly one in four deployments caused production issues, creating a bottleneck that slowed feature delivery and eroded team confidence.
Solution
Automated CI/CD with canary deployments and GitOps
We rebuilt the entire delivery pipeline around GitHub Actions, Terraform for infrastructure-as-code, and ArgoCD for GitOps-driven Kubernetes deployments. Canary release strategies with automated rollback thresholds ensured zero-downtime releases from day one.
Results
32x more frequent releases with near-zero rollbacks
Deploy time dropped from 4 hours to 12 minutes. Release frequency increased from 2x/month to 8x/week — a 32x improvement. Rollback rate fell from 22% to 3%, and the team achieved zero downtime incidents in the first six months post-implementation.
Technology Stack
GitHub Actions Terraform Docker Kubernetes (AKS) SonarQube ArgoCD
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Cloud

Migrating Critical Patient Systems to a Compliant Cloud Architecture

Gulf Healthcare Network · Healthcare, UAE
99.97%
System uptime
23 min
Recovery time
34%
Cost reduction
100%
UAE data residency compliance
Challenge
Aging infrastructure with 6-hour incident recovery
Gulf Healthcare Network was running critical patient systems on aging on-premises infrastructure with 97.2% uptime — well below healthcare standards. Incident recovery averaged 6 hours, with 3-4 major outages per quarter impacting patient care across multiple facilities.
Solution
Hybrid cloud architecture with UAE data residency
We architected a hybrid cloud migration to Azure UAE North, ensuring full UAE data residency compliance. Terraform and Ansible automated infrastructure provisioning, while Azure Site Recovery provided disaster recovery with sub-15-minute RTO. Prometheus and Grafana delivered comprehensive observability.
Results
From 97.2% to 99.97% uptime
System uptime improved from 97.2% to 99.97%, with recovery time dropping from 6 hours to 23 minutes. Infrastructure costs decreased by 34%, and the network achieved 100% compliance with UAE data residency requirements across all patient-facing systems.
Technology Stack
Azure (UAE North) Terraform Ansible Prometheus Grafana Azure Site Recovery
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Managed Intelligence

Predictive Operations: AI-Powered Building Management Across 14 Properties

Meridian Property Group · Real Estate & Property, Dubai
52%
Fewer unplanned incidents
38 min
Mean time to resolve
1
Unified dashboard
2.1M
AED annual savings
Challenge
14 properties, 6 vendor dashboards, AED 3.8M in maintenance
Meridian Property Group managed 14 commercial and residential properties with over 200 monitored assets each, spread across six fragmented vendor dashboards. Reactive maintenance was costing AED 3.8M annually, with no predictive capability to prevent equipment failures before they impacted tenants.
Solution
Unified AIOps platform with ML anomaly detection
We built a unified AIOps platform consolidating all six monitoring systems into a single pane of glass. Machine learning anomaly detection provided predictive alerting, while a Claude-powered chatbot enabled natural language querying of building performance data. Automated remediation workflows handled common incidents without human intervention.
Results
From reactive to predictive operations
Unplanned incidents decreased by 52%, and mean time to resolve dropped to 38 minutes. The unified dashboard eliminated context-switching across six platforms, and AED 2.1M in annual savings were realised through predictive maintenance and automated remediation.
Technology Stack
ConnectWise Automate Claude API Custom AIOps Platform MQTT Node.js Grafana
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Strategy

AI Readiness Assessment and Transformation Roadmap for an Energy Conglomerate

Taqa Digital Ventures · Energy & Utilities, Abu Dhabi
12
AI use cases identified
60 days
To first pilot launch
28%
Downtime reduction
8M
AED transformation budget
Challenge
8 business units with varying AI maturity
Taqa Digital Ventures, the innovation arm of a major UAE energy conglomerate, needed to assess AI readiness across 8 diverse business units. Previous consultants had produced impressive slide decks that proved unusable in practice, leaving leadership without a clear, actionable path to AI adoption.
Solution
6-week assessment with 18-month roadmap and 12 use cases
We conducted a comprehensive 6-week AI readiness assessment, scoring each business unit across data maturity, infrastructure readiness, and organisational capability. The deliverable was a prioritised 18-month transformation roadmap with 12 concrete AI use cases, each with defined ROI projections and implementation timelines.
Results
3 pilots launched within 60 days
Three pilot projects were launched within 60 days of roadmap delivery — a first for the organisation. The initial predictive maintenance pilot alone achieved a 28% reduction in unplanned downtime. The board approved an AED 8M transformation budget based on the roadmap's demonstrated early results.
Technology Stack
Assessment Framework Data Maturity Scoring Claude API Custom Reporting Dashboard Power BI
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Managed Intelligence

Zero-Trust Security Architecture with AI-Enabled Threat Detection for a Construction Enterprise

INC Construction · Construction & Engineering, Dubai
Zero-trust
Architecture deployed
AI-enabled
SIEM threat detection
Multi-layer
Security policies
Self-healing
Automated remediation
Challenge
Organic growth, minimal security governance
INC Construction's Microsoft 365 tenancy had grown organically with minimal security governance. Fragmented policies, no centralised threat visibility, and manual incident response left the organisation exposed to lateral movement, credential compromise, and data exfiltration — risks amplified across distributed construction sites with transient workforce access patterns.
Solution
Zero-trust architecture with AI-enabled SIEM and self-healing automation
We implemented a zero-trust security architecture across the full tenancy. An AI-enabled SIEM platform was deployed for real-time threat detection and correlation, backed by multi-layered security policies governing identity, device, and data access. Self-healing automation was engineered to isolate compromised accounts, revoke sessions, and trigger remediation workflows without human intervention.
Results
Autonomous threat containment, full policy compliance
INC Construction moved from reactive, manual security operations to an autonomous threat containment model. Mean time to detect dropped significantly, self-healing workflows eliminated the dependency on manual intervention for common threat scenarios, and the organisation achieved full policy compliance across all tenancy workloads.
Technology Stack
Microsoft Sentinel Microsoft Defender Conditional Access Azure AD Automation Runbooks SIEM/SOAR
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Strategy

Enterprise-Wide Digital Transformation Across 8 Workstreams for a National Programme Office

National Projects Office · Government & Public Sector, UAE
8
Workstreams delivered
End-to-end
Digital & IT integration
Unified
Operating model
On time
Programme delivery
Challenge
Disconnected systems across digital and IT functions
The National Projects Office operated across multiple disconnected systems and processes, with digital and IT functions running in parallel but without strategic alignment. Eight distinct workstreams — each with its own stakeholders, timelines, and technical requirements — needed to be unified under a coherent transformation programme without disrupting active national project delivery.
Solution
Structured transformation programme across all 8 workstreams
We designed and executed a structured transformation programme covering all 8 workstreams, integrating digital strategy, IT infrastructure modernisation, data governance, process automation, and change management into a single delivery framework. Each workstream was mapped to measurable KPIs with phased rollouts, ensuring continuity of critical national project operations throughout.
Results
Unified digital and IT operating model delivered on schedule
All 8 workstreams were delivered within programme timelines, establishing a unified digital and IT operating model. The National Projects Office gained consolidated visibility across its portfolio, standardised tooling and processes, and a governance framework designed for sustained digital maturity.
Technology Stack
Microsoft 365 Azure Power Platform SharePoint Teams Custom Integration Layer
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AI Automation

Identity Threat Defence, AI-Driven Procurement, and Full M365 Integration for a Professional Services Firm

Carter Stephenson Quinn · Professional Services, UAE
Full stack
Security + productivity
AI-driven
Procurement platform
Org-wide
Copilot deployment
Unified
M365 + Dropbox
Challenge
Fragmented security, disconnected tools, manual procurement
Carter Stephenson Quinn's security posture lacked identity threat detection and endpoint visibility, leaving the organisation exposed to credential-based attacks. Productivity was constrained by disconnected tools — Dropbox running in isolation from Microsoft 365, no AI-assisted workflows, and a manual procurement process consuming significant administrative overhead.
Solution
ITDR/EDR deployment, Copilot rollout, M365 integration, and AI procurement
We deployed Huntress ITDR and EDR for identity threat detection and endpoint protection, implemented Microsoft Copilot across the organisation for AI-assisted productivity, and executed a full M365 tenancy integration including Dropbox consolidation. In parallel, we integrated an AI-driven procurement management platform to automate sourcing, approval workflows, and spend visibility.
Results
Continuous protection, AI-assisted workflows, streamlined procurement
Carter Stephenson Quinn achieved continuous identity and endpoint monitoring with automated threat response, organisation-wide AI-assisted workflows through Copilot, a unified document and collaboration environment, and a procurement process with significantly reduced cycle times and manual overhead.
Technology Stack
Huntress ITDR Huntress EDR Microsoft Copilot Microsoft 365 Dropbox Azure AD AI Procurement Platform
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Strategy

End-to-End Telehealth Platform Design and Build with AI-Driven Triage

Delta HealthGrid · Healthcare & Telehealth
8
Core modules delivered
Full stack
Product architecture
On-premise
AI triage design
Zero to live
Greenfield build
Challenge
No platform, no infrastructure, no digital patient pathway
Delta HealthGrid needed a complete telehealth platform built from the ground up — a system capable of handling patient onboarding with identity verification, condition-specific dashboards, prescriptions management, appointment scheduling, and video consultations. The platform also required an intelligent triage layer that could operate on-premise to keep patient data within organisational boundaries.
Solution
Full-stack product architecture across 8 core modules
We designed and built the entire platform on Next.js and React, deployed on Vercel. The system includes a 5-step onboarding flow with identity verification and face capture, dynamic patient dashboards driven by individual health profiles, a prescriptions module with condition-grouped medication management, appointment scheduling with triage status and video call integration, an interactive health centre map with geolocation and facility filtering, and a conversational AI triage system architected for self-hosted LLM deployment via DDNS — eliminating per-token API costs and keeping patient data on-premise.
Results
A production-grade telehealth platform with an intelligent triage layer
Delta HealthGrid went from zero infrastructure to a fully functional telehealth platform with 8 integrated modules. The architecture supports dynamic patient profiles across multiple chronic conditions, real-time video consultations, and an AI-driven triage pathway that gathers symptoms conversationally and generates structured summaries for providers — all built with accessibility and PWA readiness as core architectural requirements.
Technology Stack
Next.js React Tailwind CSS Vercel Leaflet / OpenStreetMap Self-hosted LLM DDNS
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