Kickstarting AI adoption at JLL
A tailor-made AI training program for one of the world's largest real estate service companies
Outdated systems are the elephant in the room, and often the biggest barrier to enterprise AI adoption. They create technical debt, limit integration with modern tooling and make it impossible to move at the speed competitors are achieving. We help enterprises assess, re-platform and modernize legacy infrastructure using Gen-e2™, compressing modernization timelines that traditionally take years into months, while reducing risk and cutting pesky operating costs.
We apply Gen-e2™ across the full modernization lifecycle, using AI agents to handle code forensics, architecture mapping and automated re-platforming that would otherwise require months of manual analysis. This hacks away timelines dramatically while reducing the risk of human error in complex legacy environments.
Our team modernizes in structured increments rather than high-risk "all-or-nothing" cutovers. Each wave delivers working, production-ready output while keeping your existing systems up and running, so the business keeps chugging along while the foundation underneath it changes, and agent-driven modernization compresses delivery timelines by 3 to 5 times.
Every modernization engagement is designed with your AI roadmap in mind. The target architecture we build toward is cloud-native, integration-ready and compatible with agentic AI workloads, so you're not simply running away from the past, but building stability capable of supporting what AI-first enterprises need next.
We apply Gen-e2™ across the full modernization lifecycle, using AI agents to handle code forensics, architecture mapping and automated re-platforming that would otherwise require months of manual analysis. This hacks away timelines dramatically while reducing the risk of human error in complex legacy environments.
Our team modernizes in structured increments rather than high-risk "all-or-nothing" cutovers. Each wave delivers working, production-ready output while keeping your existing systems up and running, so the business keeps chugging along while the foundation underneath it changes, and agent-driven modernization compresses delivery timelines by 3 to 5 times.
Every modernization engagement is designed with your AI roadmap in mind. The target architecture we build toward is cloud-native, integration-ready and compatible with agentic AI workloads, so you're not simply running away from the past, but building stability capable of supporting what AI-first enterprises need next.
With deep expertise in AI-first product development, our team is outfitted to bring your enterprise into the next era of transformation.
Before any modernization work begins, you need a clear and honest picture of what you're dealing with. We conduct a rapid technical assessment of your existing systems, mapping dependencies, identifying risks, quantifying technical debt and evaluating the true cost of staying on legacy infrastructure. The output is a prioritized modernization roadmap that sequences work by business impact and technical complexity rather than tackling everything in one go.
We migrate and re-platform aging applications onto modern cloud-native architectures, moving from monoliths to microservices, decommissioning redundant systems and rebuilding the components that matter most. Gen-e2™ agents handle code analysis, documentation generation and re-platforming tasks that traditionally consume the most time, minimizing delivery times without compromising quality.
For systems where the underlying codebase needs to be updated rather than swapped in, we use AI-first engineering to analyze, refactor and modernize existing code at a speed and accuracy that manual approaches cannot match. This includes retro-documentation of undocumented systems, automated code review and the incremental introduction of modern dev practices across your engineering teams.
Modernization isn't just about the code, it's about how your teams build and operate as you move forward. With Gen-e2™, secure delivery is built into the agent workflow itself, with automated code review, security scanning, and CI/CD orchestrated as part of every increment rather than bolted on at the end. Your security teams shift to defining the rules and controls that agents and pipelines follow, so your modernized environment stays maintainable, extensible, and secure long after the engagement is complete.
We migrate and consolidate your repositories, toolchains, and applications onto modern, well-governed platforms, reducing fragmentation and setting a clean foundation for AI-first delivery. We work across the major platforms your teams already use, with deep, recognized expertise in GitHub as well as Azure DevOps, GitLab, and Bitbucket, so migrations carry the integration, security, and governance patterns enterprises expect, whichever direction you're moving. Combined with agent-driven modernization, the result is a consolidated, future-ready environment delivered in a fraction of the usual time.
A tailor-made AI training program for one of the world's largest real estate service companies
Upskilling 300+ Colissimo employees to boost speed, security and customer experience
Transforming user experience with AI while delivering 40% cost savings
Our clients and partners are amongst the world's most successful companies. We innovate with established Fortune 1000s and pioneers in tech and AI who aim to lead, not follow.
We take stock of both options honestly during the assessment phase. The decision depends on factors including the business value the system delivers, the volume and complexity of technical debt, integration dependencies and the cost comparison between modernizing what exists vs. tearing down and rebuilding. In many cases a hybrid approach makes the most sense, replacing the core while retaining and modernizing the components that still perform well.
Traditional legacy modernization is slow largely because of the manual effort required to understand undocumented systems, map dependencies and re-platform code safely. Gen-e2™ agents handle code forensics, architecture analysis and documentation generation at a speed no manual team can match, compressing the assessment and early delivery phases significantly. Across legacy modernization engagements, clients typically see timelines reduced by more than 50% compared to traditional approaches.
We work in structured increments rather than big-bang migrations. Each increment delivers production-ready output while the existing system stays operational alongside it. This keeps business continuity intact throughout the modernization and limits the blast radius of any issues that arise during the process.
The target architecture is cloud-native, modular and designed to support AI-first delivery and agentic workloads. We don't modernize toward a static endpoint, we build toward an architecture that can evolve with your AI roadmap rather than one that will need replacing again in five years.
Undocumented systems are extremely common in legacy modernization engagements and are not a blocker. Gen-e2™ agents are specifically effective at code forensics, analyzing existing codebases to reconstruct architecture maps, dependency graphs and functional documentation before any re-platforming work begins. This gives the modernization team the context they need to work safely even when no documentation exists.