Case study · EMBEDDED ENGINEERING
Embedded engineering for FinTech – seven years inside SLS’s team
Self Learning Solutions didn’t outsource their engineering. They expanded it – with us. Since 2018, Codeweaver engineers have worked inside SLS’s team on a daily basis: building infrastructure, shipping a SaaS MVP from scratch, and redesigning the core product interface. Not as a separate vendor with a separate backlog. As part of the team.
THE PROBLEM
Scaling engineering in a regulated industry
SLS had a platform gaining traction in FinTech. Their products – decision engines, scoring models, process automation – were solving real problems for financial services clients. Demand was growing.
The engineering bottleneck was growing faster.
SLS needed to move on multiple fronts at once:
- Harden infrastructure for high availability, fast-growing traffic, and ISO 27001 compliance – non-negotiable in financial services
- Scale the product from MVP to enterprise-grade SaaS that could onboard new clients without bespoke engineering work per customer
- Redesign the core interface – the business process modeler that customers used to build workflows needed to become accessible to non-technical users
Three workstreams. Each requiring senior engineering. Hiring for all three simultaneously – in a market where FinTech engineers are scarce and recruitment cycles run long – wasn’t realistic.
SLS needed engineers who could start immediately, work inside their existing team, understand the compliance constraints of financial services, and deliver across infrastructure, product, and design without the coordination overhead of managing three separate vendors.
We embedded in 2018.
SLS in numbers
| Cloud infrastructure cost reduction | 80% |
| Operational risk reduction through automation | 65% |
| Time from bug report to production fix | 1 hour |
| Time to set up demo environment for new client | 3 hours |
| SaaS MVP delivery (from scratch) | 5 months |
| Security certification | ISO 27001 |
What changed for the business
The engagement started with infrastructure. It expanded because the model worked.
Infrastructure became a foundation for growth
Before: manual deployments, inconsistent environments, slow incident response. After: infrastructure as code, unified CI/CD across all distributed services, and multi-layer monitoring that catches production issues before customers do. Cloud costs dropped by 80%.
Operational risk dropped by 65%
Manual processes in FinTech carry audit, compliance, and reliability risk. Automating software development, testing, and release workflows – unified across all of SLS’s services – reduced the surface area for human error in a regulated environment. offering for the world’s largest operators – a position it holds today.
SLS shipped a SaaS MVP in 5 months
The MVP turned SLS’s methodology into a scalable product: a no-code/low-code system that lets non-technical users build custom business workflows powered by AI. From zero to working product in four months – without SLS needing to build a standalone software development department.
The core product got a next-generation interface
Through workshops, analytical reviews, and technical assessments, we redesigned SLS’s business process modeler – the tool their customers use daily to build AI-powered automations. The result: a clean, modern interface built on a robust design system, with customized open-source libraries integrated to support SLS’s unique feature set.
Response times reached operational SLA levels
One hour from bug report to production fix. Three hours to spin up a complete demo environment for a new client prospect.
What clients say
Real feedback from engineering leaders we’ve worked with.
“With Codeweaver’s support, the company has managed to launch their project as expected. The team continues to work on a daily basis with the in-house staff. They document their work clearly across various project management tools and are knowledgeable enough to recommend solutions to the client.”
Karol Dziasek
CEO, Self Learning Solutions
Key features
Organized by workstream. Based on confirmed project deliverables only.
Infrastructure & reliability
Infrastructure as code – safe, reliable, repeatable environments replacing manual configuration Unified CI/CD pipeline across all of SLS's distributed services Multi-layer monitoring and alerting – production issues flagged and traceable before they reach customers Site reliability procedures designed to minimize downtimes and failures ISO 27001 security compliance
SaaS MVP
No-code/low-code platform for AI-powered business workflow automation Built from scratch in 4 months Designed for non-technical users to model complex business processes Architecture supporting new client onboarding without bespoke engineering
Next-gen business process modeler
Full UX redesign based on workshops and technical assessment Robust design system for consistent, extensible interface development Advanced customization of open-source libraries for SLS-specific requirements Clean, modern interface accessible to a wider, non-technical audience
