Enterprise Cloud Migration — Logistics Company
A regional logistics company running critical operations on ageing on-premise hardware was experiencing increasing downtime, mounting maintenance costs, and no path to scalability. They needed a full cloud migration with zero tolerance for extended service interruption.
We designed a phased AWS migration using Terraform for infrastructure-as-code, ECS for containerised workloads, RDS for managed databases, and a fully automated CI/CD pipeline via GitHub Actions — executed in rolling stages with no downtime.
- 99.97% uptime post-migration — up from 94.2%
- Infrastructure costs reduced 38% through right-sizing and reserved instances
- Deployment time cut from 3-hour manual process to 8-minute automated pipeline
- Full disaster recovery with 15-minute RTO
Client Operations Automation — Professional Services
A growing professional services firm had hit an operational ceiling. Client onboarding, contract management, and invoicing were all running through email threads and spreadsheets — slow, error-prone, and consuming hours of senior staff time every week.
We redesigned the entire client lifecycle using Microsoft Power Automate, SharePoint, and DocuSign — creating a fully automated pipeline from first enquiry to signed contract to first invoice, with real-time status tracking and automatic escalation on delays.
- Client onboarding reduced from 5 days to under 4 hours
- Contract approval process fully automated — zero manual chasing
- Invoice errors eliminated through automated data validation
- Team reclaimed 22+ hours per week previously spent on manual admin
Platform Rebuild & Migration — E-Commerce Business
An established e-commerce business was losing revenue to a slow, vulnerable WordPress installation. The site took over 6 seconds to load on mobile, was failing Core Web Vitals checks, and had suffered two security incidents in 12 months.
We rebuilt the entire platform on Next.js with a headless CMS, deployed it on AWS behind Cloudflare, and executed a carefully managed SEO migration to preserve and improve search rankings. The result was architecturally sound for the next 5+ years.
- Page load time reduced from 6.2 seconds to 0.9 seconds average
- Google Lighthouse score improved from 34 to 96
- Organic search traffic increased 41% in the 3 months post-migration
- Hosting costs reduced 52% with improved scalability for traffic spikes
Private AI Research Assistant — Financial Advisory Firm
A financial advisory firm’s analysts were spending 10–15 hours per week manually searching through client documents, regulatory filings, and internal research reports. The knowledge existed — accessing it efficiently did not.
We built a private, air-gapped AI assistant using a RAG (retrieval-augmented generation) architecture, hosted entirely within the client’s Azure environment. Analysts query it via Microsoft Teams in plain English and receive accurate, cited responses within seconds.
- Document research time reduced 70% per analyst per week
- Fully air-gapped — all data remains within client infrastructure
- Integrated with Microsoft Teams for natural language queries
- Custom citation system — every AI response traceable to source document
A process built to eliminate risk.
Every project follows the same structured approach — because it works. No shortcuts, no guesswork.
Discover
Deep-dive into your goals, constraints, and existing systems. Define the right scope before anything is built.
Architect
Design the full technical blueprint — stack, integrations, infrastructure — before a single line of code is written.
Build
Structured delivery with regular updates and continuous deployment — transparent at every stage.
Scale
Launch, monitor, optimise, and evolve. Ongoing support and performance management built in from the start.