Make Your Existing Systems AI-Ready. Without Starting From Scratch.
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Your legacy systems contain years of business logic, data, and institutional knowledge. Replacing them is expensive, risky, and often unnecessary. Instead, Appoly wraps your existing platforms with intelligent interfaces that let AI agents access, query, and act on your systems, turning legacy infrastructure into a foundation for AI-powered operations.
Traditional legacy migration projects are notorious for ballooning budgets, missed deadlines, and business disruption. Organisations spend millions replacing systems only to discover that the new platform does not capture the nuances of processes refined over decades.
The market has shifted. UK enterprises are now prioritising approaches that reduce risk rather than amplify it. Procurement cycles are long, regulatory reviews are unavoidable, and teams need modernisation strategies that deliver value incrementally rather than demanding a wholesale leap of faith.
Rather than replacing your legacy systems, we make them AI-accessible. This means your existing platforms continue to operate as they always have, but they gain new capabilities through intelligent integration layers.
We create modern, well-documented APIs around legacy systems that were never designed with integration in mind. These APIs expose your system capabilities in a standardised way, making them accessible to AI agents, modern web applications, and third-party platforms.
Using the Model Context Protocol, we build standardised connectors that allow AI agents to interact with your legacy systems securely. This means your teams can query decades of data using natural language, automate manual processes that currently require logging into old interfaces, and connect legacy data to modern dashboards and reporting tools.
We identify manual workflows that bridge the gap between legacy and modern systems, the spreadsheets, emails, and copy-paste processes that keep things running, and replace them with AI-driven automation that works with your existing infrastructure.
Not everything needs to happen at once. We create phased migration plans that prioritise the highest-value integrations first, delivering measurable ROI at each stage while building towards a fully AI-enabled technology estate.
We conduct a thorough assessment of your legacy estate, documenting APIs (where they exist), data structures, business logic, and integration points. We identify where AI integration will deliver the most immediate value.
We build the API wrappers, MCP servers, and middleware needed to make your systems accessible to modern tools and AI agents. Security, authentication, and data governance are built in from the start.
With the integration layer in place, we deploy AI agents that can work with your legacy data and processes. This might include intelligent search across historical records, automated report generation, or predictive analytics using data that was previously locked in legacy databases.
As you see results, we expand the integration footprint. Additional systems are connected, new AI capabilities are layered in, and the roadmap evolves based on real-world feedback and business priorities.
This approach delivers several advantages over traditional migration:
No need to fund a complete system replacement. Investment is spread across incremental phases that each deliver standalone value.
Your existing systems continue to operate throughout. There is no big bang cutover and no period where critical business processes are at risk.
The first AI integrations can be live within weeks, not the months or years a full migration would require.
The processes and rules embedded in your legacy systems are retained, not lost in translation during a rewrite.
The integration layers we build use open standards like MCP, meaning they will work with whatever AI platforms and tools emerge in the future.
NHS trusts and healthcare providers running older patient management, scheduling, or records systems that need to connect with modern patient-facing applications and AI-driven clinical support tools.
Banks, insurers, and financial institutions with core banking or policy management systems that need AI-accessible interfaces for customer service automation and regulatory reporting.
Farm management and supply chain systems that need to connect with IoT sensors, AI-driven analytics, and modern reporting platforms.
Project management, asset tracking, and compliance systems that need modernising without disrupting active projects or regulatory obligations.
We have deep experience in both legacy system integration and cutting-edge AI development. Our team understands Laravel, native iOS and Android, modern API architecture, and the Model Context Protocol. More importantly, we understand that technology decisions are business decisions. We will never recommend a full rebuild when a smarter, more proportionate approach will deliver better results.
Ready to unlock the value in your legacy systems? Contact us to discuss how we can make your existing technology estate AI-ready.