AgileData Platform
A governed data platform deployed into your business in two weeks. Your dashboards, analytics, and AI tools read from it from day one.
The infrastructure beneath the platform
Six layers, all pre-configured. Data sources, ingestion and exchange, the data platform, the consumption layer, the application and control layer, and the operations layer underneath it all. Every layer arrives standing up. Nothing for your team to architect, deploy, or run.
The modelling layer
The modelling layer is where the platform understands your business. The data map, catalog, change rules, data tiles, context layer, and trust rules turn raw source data into a governed, queryable model. The AI chat assistant, notifications, monitoring, and machine learning all read from the same model, so every output is aligned to the same definitions.
What's built in and what you'd otherwise have to wire yourself
| Capability | What that means |
|---|---|
| Pre-configured storage and compute | The platform is provisioned and tuned before you arrive. No architecture debate, no month of Terraform. |
| Automated pipelines with monitoring | Pipelines run themselves. When something breaks the platform tells you, with enough context to act. |
| Business context layer | Customers, accounts, products, and transactions defined once so every AI, automation, and analytics layer above reads the same truth. |
| AI assistant out of the box | Your team queries the business in plain English from day one. |
| Dashboards and real-time alerting | Decision dashboards and alerts when something needs attention, both built in. |
| Automated data quality | Quality rules run automatically. Issues surface before someone notices in a dashboard. |
| Role-based access built in | Access mirrors your org chart from day one. Finance sees finance, ops sees ops, the board sees what the board should. |
| Encryption at rest and in transit | Data is encrypted on the way in, on the way out, and while it sits. No configuration required from your team. |
| Australian Privacy Principles ready | Controls, retention, and audit trails are aligned to APP obligations before any customer record lands. |
| MCP connector for AI agents | A standard endpoint your AI agents, copilots, and internal tools all read from. One integration, not ten. |
| Cost observability by default | Spend is attributed to workloads and visible in a dashboard. No mystery cloud bills at the end of the quarter. |
| Senior-led support included | The same engineers who deployed the platform support it. No ticket queue, no tier-one hand-offs. |
If you built this yourself
Six to twelve months and $400k to $800k for the data platform. Another six to twelve months for the context layer, the AI assistant, the dashboards, and the alerting on top. An ops burden that does not go away. That is the honest number most CIOs with lean platform teams get when they price building this end-to-end. The AgileData platform is the alternative. The infrastructure, the context layer, the assistant, the dashboards, and the alerting all arrive pre-configured, governed, and supported. You are buying a finished system, not funding a build.
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