Kickstarting AI adoption at JLL
A tailor-made AI training program for one of the world's largest real estate service companies
Our digital product factory harnesses AI to reinvent the way organizations conceptualize, develop, and launch digital products. Think of it as a partnership where human creativity meets AI agents. Our teams set the direction and review the work, while AI does the heavy lifting to bring ideas to life faster than before.
We're redefining the role of the software developer, from writing every line of code to directing AI agents: setting the context, reviewing the brief, and validating the result. On AI-suited product builds, this drives productivity gains of up to 86%.
We've moved from manual coding to context-driven, AI-first delivery. Rather than prompting ad-hoc, we work from Gen-e2™, our AI-first delivery methodology of rules, prompts, and a shared repository, so AI agents can handle whole user stories, not just autocomplete snippets.
We use a proven AI-first stack that integrates AI across the full product delivery lifecycle. Our agents run locally or in the cloud to design, code, and test across back-end, APIs, and front-end, rather than applying AI in a fragmented way.
We build cloud-native, scalable infrastructure designed for seamless AI integration, with robust, reliable data pipelines that feed our AI agents the right context and deliver insights that inspire clear action and results.
We're redefining the role of the software developer, from writing every line of code to directing AI agents: setting the context, reviewing the brief, and validating the result. On AI-suited product builds, this drives productivity gains of up to 86%.
We've moved from manual coding to context-driven, AI-first delivery. Rather than prompting ad-hoc, we work from Gen-e2™, our AI-first delivery methodology of rules, prompts, and a shared repository, so AI agents can handle whole user stories, not just autocomplete snippets.
We use a proven AI-first stack that integrates AI across the full product delivery lifecycle. Our agents run locally or in the cloud to design, code, and test across back-end, APIs, and front-end, rather than applying AI in a fragmented way.
We build cloud-native, scalable infrastructure designed for seamless AI integration, with robust, reliable data pipelines that feed our AI agents the right context and deliver insights that inspire clear action and results.
With deep expertise in AI-first product development, our team is outfitted to bring your enterprise into the next era of transformation.
We design and build new digital products from the ground up, embedding AI-native architecture and Gen-e2™ engineering practices from day one. This gives you a product built for speed and scale, with AI as a core capability rather than a bolt-on accessory.
We extend and enhance your existing digital products, adding new AI-powered features and modules without disrupting what's already up and running. Our teams work within your current codebase and architecture to speed up delivery while minimizing risk to production systems.
We move aging applications onto modern, cloud-native architectures (from monolith-to-microservices migrations to full platform rebuilds) using AI-accelerated engineering to compress typical timelines. The result is a faster, more battle-tested foundation ready for future AI capabilities.
When off-the-shelf software starts limiting your growth or differentiation, we help you transition to a custom-built, AI-powered platform tailored to your workflows. We guide the full journey, from evaluating build-vs-buy trade-offs to designing and delivering the replacement product.
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.
PALO IT builds digital products with Gen-e2™, our AI-first product delivery methodology. AI agents work across the full product delivery lifecycle, from discovery and design to back-end, APIs, front-end, testing, and deployment, while our teams set the direction and validate the results. This delivers products faster without giving up quality or control.
Gen-e2™ (Generative AI Enhanced Engineering) is PALO IT's AI-first product delivery methodology. It is a structured, context-driven approach built on rules, prompts, and a shared product repository, not ad-hoc prompting or vibe coding. This gives AI agents the context they need to deliver consistent, production-ready software.
Developers shift from writing every line of code to directing AI agents. They set the context, review the brief, and validate the final deliverable, while agents handle whole user stories. This lets smaller, senior teams deliver more, and keeps a human accountable for every result.
Quality is maintained through structured context and human validation. Agents work within defined rules and a shared repository, and our engineers review the brief and validate every deliverable before it ships. This keeps AI-generated code aligned with enterprise quality, security, and governance standards.
Across 100+ projects delivered globally, Gen-e2™ has driven 3 to 5x delivery velocity at enterprise scale, a 47% average productivity gain (peaking at 86%), and up to half the project budget saved. Enterprises also see over 15% OpEx reduction, with up to 95% of code, documentation, user stories, and infrastructure-as-code AI-generated.
Both. The AI-first approach applies to new (greenfield) product builds and to evolving or modernizing existing systems. Because agents work from your structured context and repository, they can extend current products and rebuild legacy ones with the same speed and governance.