Connect your existing systems to AI that actually works

An MCP (Model Context Protocol) server acts as a bridge between AI assistants like Claude and your existing business systems. It allows AI to securely read and interact with your databases, ERP systems, CRM, file storage, and operational tools using natural language. Instead of manually pulling reports or cross-referencing spreadsheets, you can ask questions like "What were our top 10 products by margin last quarter?" and get instant answers drawn directly from your live data. HingeStone AI builds custom MCP servers tailored to your specific technology stack and business requirements.

Absolutely. The entire philosophy at HingeStone AI is to work with what you already have. We build integration layers — MCP servers, APIs, and data pipelines — that sit on top of your existing software. Whether you're running legacy ERP systems, SQL databases, cloud platforms, or a combination of everything, AI can be connected as an intelligence layer without disrupting your current operations or requiring expensive system replacements.

Yes. HingeStone AI works with Australian government organisations at all levels — federal, state, and local. Our team has deep experience in enterprise IT infrastructure and understands the security, compliance, and procurement requirements that government clients operate under. We build AI integrations that connect to existing government ICT systems for operational intelligence, automated reporting, ministerial briefs, and data-driven decision support. All solutions are designed with government-grade security controls, data sovereignty, and audit requirements as standard.

HingeStone AI offers a paid Discovery Audit as an entry point, followed by project-based builds or ongoing monthly retainers depending on scope. Retainers for ongoing AI integration development, maintenance, and advisory typically start from a few thousand dollars per month. Every engagement begins with a clear scope of work so you know exactly what you're paying for. There are no hidden fees, and out-of-scope requests are handled transparently through change orders.

AI can automate virtually any report that currently requires someone to pull data from multiple sources and compile it manually. Common examples include board reports and executive summaries, ministerial briefs and departmental updates, compliance and regulatory documentation, operational KPI dashboards, client deliverables and consulting reports, financial summaries, inventory and supply chain reports, and WHS compliance documentation. The AI pulls data directly from your systems, structures it according to your templates, and can deliver finished documents on a schedule or on demand.

Data security is foundational to every integration HingeStone AI builds. MCP servers run within your own infrastructure or trusted cloud environments — your data is not uploaded to third-party training datasets. We implement role-based access controls, encrypted connections, and audit logging as standard practice. For government clients, all solutions are designed to meet relevant security frameworks including the Australian Government Information Security Manual (ISM) and Essential Eight. Our team includes infrastructure engineers with extensive experience managing enterprise networks and production security.

Yes — this is one of the highest-value applications we build. If you're a consultant spending hours compiling data into client reports, AI can dramatically reduce that burden. We build pipelines that pull data from your sources, apply your report templates and formatting standards, generate draft reports with analysis and recommendations, and deliver them ready for your review. This lets consultants focus on high-value advisory work rather than data wrangling and document formatting.

No. The whole point is that you interact with your systems using plain English. Once an MCP server or automation pipeline is built and deployed, you use it by asking questions or triggering workflows in natural language. There is no coding required on your end. HingeStone AI provides documentation and onboarding so your team is comfortable and productive from day one.

HingeStone AI works across industries and sectors, with particular depth in government, manufacturing, agriculture, beverage production, professional services, consulting firms, and registered clubs and associations. We serve clients across New South Wales, Victoria, Queensland, and the Australian Capital Territory. The common thread is organisations with existing operational systems and data that are underutilised — where connecting AI to what you already have unlocks significant value without requiring a technology overhaul.

Yes — legacy system integration is one of our core strengths. Many government departments run critical systems on older platforms — legacy databases, on-premise servers, proprietary software with limited APIs. HingeStone AI builds MCP servers and integration layers that connect AI to these systems without requiring migration or replacement. Our team has hands-on experience with legacy ERP systems, SQL Server environments dating back decades, and hybrid on-premise and cloud architectures. We bring AI to your existing systems rather than requiring you to bring your data to a new platform.

Yes — this is one of the most critical problems we solve. Many organisations are running mission-critical systems built on mainframes, AS/400, COBOL, RPG, or other legacy platforms where the original engineers have retired or are no longer available. The systems work, but nobody fully understands them, and everyone is afraid to touch them. HingeStone AI uses AI-powered code analysis to reverse engineer these systems — mapping business logic, data flows, and dependencies — then builds modern equivalents or integration layers on top. We can modernise incrementally by wrapping legacy systems in modern APIs, or execute full migrations to modern platforms, depending on your risk tolerance and timeline.

We work with virtually any legacy platform, including IBM mainframes, AS/400 and iSeries, COBOL and RPG codebases, FoxPro, dBASE, legacy SQL Server environments, proprietary ERP and industry-specific software, on-premise file servers and document management systems, and custom-built systems with no documentation. If your system is old, undocumented, and critical to your operations, that is exactly the kind of problem we specialise in.

A typical Discovery Audit takes one to two weeks. From there, an initial MCP server or automation build usually takes four to eight weeks depending on the complexity of your systems and the number of data sources involved. Simpler automations like report generation pipelines can often be delivered in two to four weeks. Every project receives a clear timeline during the scoping phase.

Most AI consulting firms sell strategy decks and proof-of-concept demos that never make it to production. HingeStone AI is a team of infrastructure engineers who build and ship production systems. The focus is on practical, working integrations that connect AI to your actual systems — not theoretical frameworks or chatbot wrappers. Every deliverable is production-grade, maintainable code that runs in your environment and solves a specific operational problem.