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Projects

Work that held up in production.

Client names are withheld under NDA, but the architectures, constraints and measured results are real.

NetworkSecurityFinancial services

Multi-site network modernisation across 42 branches

Challenge — Ageing MPLS links and flat networks caused branch outages and made compliance segmentation impossible.

What we did — Delivered an SD-WAN overlay with segmented VLANs, redundant links and centralised monitoring, rolled out branch by branch with zero unplanned downtime.

Branch uptime
99.98%
WAN cost
-34%
Rollout
14 weeks
CloudDevOpsInsurance

Regulated cloud landing zone and delivery pipeline

Challenge — Teams shipped manually into unmanaged accounts, with no consistent guardrails or audit trail.

What we did — Built a Terraform landing zone with policy guardrails, environment isolation and GitOps pipelines that took releases from monthly to daily.

Deploy frequency
22x
Change failure
-61%
Provision time
2 days → 20 min
AIAutomationHealthcare

AI assistant for claims and policy review

Challenge — Claims officers spent hours cross-referencing policy documents, creating a persistent backlog.

What we did — Shipped a retrieval-grounded assistant with citation-backed answers and human review gates, integrated directly into the claims workspace.

Review time
-58%
Answer accuracy
94%
Backlog cleared
11 weeks
SecurityLogistics

Security operations uplift and 24/7 detection

Challenge — Alerts were scattered across tools with no ownership, and incidents were discovered by end users.

What we did — Consolidated telemetry into a single SIEM, wrote detection content mapped to MITRE ATT&CK and stood up an on-call response runbook.

Mean time to detect
4h → 9 min
Alert noise
-72%
Coverage
24/7
AutomationManufacturing

Back-office automation across procurement and finance

Challenge — Purchase approvals moved by email and spreadsheet, with no visibility into where a request was stuck.

What we did — Automated the procure-to-pay flow with integrated approvals, ERP sync and a live audit trail for every request.

Approval cycle
-67%
Manual entries
-90%
Audit findings
0
DataCloudRetail

Unified data platform for 180 stores

Challenge — Every region reported different numbers because each pulled from its own extract.

What we did — Rebuilt ingestion into a governed lakehouse with tested models and one certified metrics layer for the whole group.

Reporting lag
1 day → 15 min
Data sources
27 unified
Model tests
400+

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