Modernise the systems your business depends on.
SSI’s Smart Pods combine experienced engineers
with AI-enabled engineering. Together, they preserve
essential business logic, simplify maintenance, and
make new capabilities easier to deliver.
Your core systems still run the business. The people who understand them are getting harder to find. Skills in older languages and platforms are leaving the market. Every change now depends on a shrinking pool of specialists. SSI closes that gap. Our AI-enabled Smart Pods read, document, and migrate code that few engineers can still work on. Your business keeps its knowledge and gains a platform any modern team can support.
AI reads and explains legacy code at speed. Our engineers review every change, so business behaviour stays intact.
Modernisation is how your business gets ready for AI. Six outcomes that prepare your systems for what comes next.
Clean, connected, and accessible data. AI models and assistants can use it from day one.
Modern APIs and services let AI agents and applications connect to core systems safely.
Shorter development cycles bring new AI capabilities to the business sooner.
Supported, cloud-ready technology that scales with demand. It adapts as AI tools and models evolve.
Move off unsupported platforms. End your dependence on scarce expertise.
Carry essential rules and calculations forward. Document them so both people and AI can use them.
Three modernisation services. Each one is accelerated and strengthened by AI.
Evolve the applications your business depends on. AI reads legacy code, maps business logic, and generates tests before migration begins. Engineers then rebuild on modern platforms and keep what works.
Turn fragmented data into a dependable business asset. AI helps profile, map, and validate data during migration. The result is a platform ready for reporting, analytics, and AI.
Build an environment that can grow with your business. AI helps assess dependencies and automate infrastructure changes. Workloads move with less risk and lower running costs.
Evolve the applications your business depends on. AI reads legacy code, maps business logic, and generates tests before migration begins. Engineers then rebuild on modern platforms and keep what works.
Turn fragmented data into a dependable business asset. AI helps profile, map, and validate data during migration. The result is a platform ready for reporting, analytics, and AI.
Build an environment that can grow with your business. AI helps assess dependencies and automate infrastructure changes. Workloads move with less risk and lower running costs.
Everything needed to prove the concept. Nothing that belongs in a production build.
The right approach for the task, agreed before the build begins.
Agree the task, the users, and the current baseline. Set the success criteria the concept must meet.
Compare suitable models and tools against the task and budget. Record each choice and the reason behind it.
Every engagement ends with three clear outputs.
A functioning demonstration of the AI on your data.
Benchmarks, success criteria, and documented failures.
Proceed, adjust, or stop. With the reasons behind it.
Short, focused iterations. Each cycle brings the concept closer to a clear answer.
Agree the use case, the baseline, and the success criteria. Confirm the data and access the test needs.
Set up a secure environment and a representative data sample. Connect sandboxes or extracts where required.
Develop the core AI capability. Review outputs with your domain experts as the work progresses.
Run the evaluation and inspect failure cases. Benchmark quality, speed, and cost against the baseline.
Demonstrate the working concept and share the results. Recommend whether to proceed, adjust, or stop.
A proof of concept answers one question. Will it work? When the answer is yes, the production build is scoped as a separate phase.
Delivery teams
Human-AI hybrid teams.
Smart Pods take the proven approach into implementation. A cross-functional team brings engineering, design, and QA together. They integrate the solution, test it, and prepare it for release.
Reusable platform
AI-first, enterprise-ready platform
Momentum, SSI’s enterprise delivery framework powered by AI, provides reusable microservices and agentic skills. The findings guide what to reuse, adapt, or develop for production.
Discuss your requirements with our team.
Bring a defined use case or an AI idea you want to test. We will scope the proof of concept and the measures that will show its value.
