New products in market sooner, on systems that cost less to run.
Launch the products the business has been waiting for, while paying down legacy debt.
The applications that carry the business were built before AI. We modernize them and build the next products on top, so the roadmap stops waiting on the platform, with compliance held at every step.
Published work in network security, radiology, capital raising, 3D printing and real-time translation.
Platforms moved, and built to repeat.
Each result below comes from the client's published case study.
Figures as published in each client's case study.
The roadmap is ready. The platform underneath it isn't.
Technical debt is a growth problem.
Most leadership teams know which systems hold them back. The core still works, so moving it feels riskier than standing still. Every quarter it stays, change gets harder, and the AI products the business wants to launch have nowhere to run.
The risk sits in how modernization is usually run: one application at a time, planned from scratch, with compliance checked at the end. We've seen the deadlock break when the first move is treated as a pattern rather than a project. Prove the foundation, move the first services, and let every team after that reuse what the first one built. Every service moved off the old core is one less thing standing between the business and the product it wants to launch.
The words that come before this work.
We need to get off our legacy platforms.
The core still runs, but every change takes longer and costs more.
Technical debt is slowing the roadmap.
New features queue behind maintenance.
The product we want to launch needs a platform we don't have.
AI features need modern services, data access and capacity.
We can't risk downtime on customer systems.
The move has to protect revenue while it happens.
Measured in time to market and cost to run.
Migrate an application. Refactor a service. Add an AI feature.
tied to an outcome before anything is built
Time to launch. Run cost per workload. Revenue from new products.
What we measure
- Time from idea to release for the products that matter
- Release frequency once the platform is modern
- Run cost per workload, before and after
- Share of the estate on the modern platform
- Downtime and incidents during cutover
- Compliance evidence available per release
Finance signs the baseline for each measure before the first wave, so savings and speed are read from the same numbers.
Software, products, testing and a secure foundation.
Your people and ours, one outcome.
- a product or application owner with decision rights
- access to code, data and environments, with agreed change windows
- your security and compliance requirements
- an engineering team ready to take on the pattern
- a value baseline agreed with your finance team
- one team of Forward Deployed Strategists and Forward Deployed Engineers
- the Forward Deployed Strategists, who own the business case, the value baseline and product decisions
- the Forward Deployed Engineers, who build, test and ship on Google Cloud with platform and security built in
- the Migration Factory
- runbooks and the reusable pattern
Badar QureshiChief Technology OfficerLeads AI Engineering: AI-built software, AI products from idea to launch, and AI-driven testing.
AI EngineeringFrequently asked questions
Something else on your mind? Ask us directly
No. We start with the applications that hold back the products that matter most, and sequence the rest into waves.
Downtime is planned to the minimum, and every cutover is rehearsed and validated, with joint acceptance testing.
The one that fits each workload, chosen with your teams for the product and the rules it has to keep.
The handover is agreed on day one. Your teams get the code, the infrastructure as code, the pipelines, the controls and the migration pattern, and learn the work alongside ours.
Start with the system that holds the roadmap back.
Tell us the application, the rules it has to keep and the product you want to launch on it. We will show you the first wave and the pattern after it.