Enterprise AI Control Plane

Your data infrastructure should deploy and activate in weeks. Not years.

DataReadyAI democratises data and AI for the modern enterprise, lowering the barriers for businesses of every size to realise value from day one. Governed AI deployments, production-ready in 6–8 weeks, without the wait or the risk.

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DATA SOURCES CRM ERP Data Lake Billing raw data ingestion Semantic Normalisation AI Orchestration Governance & Activation POLICY production-ready audit-ready AI OUTPUTS Insights &Dashboards AIAgents AutonomousAgents BusinessApplications
0%

of business data projects either fail or run into serious trouble

Source: Forbes

0%

of enterprise generative AI projects fail to deliver measurable ROI

Source: MIT Study

0%

of AI projects will be abandoned when unsupported by AI-ready data sources

Source: Gartner

The gap between raw enterprise data and reliable AI outcomes has created a dependency on multi-year, multi-million-dollar transformation engagements. Most projects stall before they deliver value. The bottleneck is not the AI models. It is the connective tissue between data and intelligence.

Without a Control Plane

Manual data mapping and schema design
Hand-coded transformation pipelines
18–24 month delivery timelines
$10M–$50M+ programme budgets
Consultant-dependent knowledge
Governance frameworks that decay on delivery

With DataReadyAI

Autonomous semantic normalisation
Zero-code pipeline generation
6–8 week production deployment
From $300K annual commitment
Knowledge embedded in the platform
Governance enforced continuously
Why Now

The rules have changed. Your data stack hasn’t.

Your board wants AI outcomes this quarter. Your regulator wants audit trails yesterday. Your SI wants another 18 months.

01

Your AI agents need governed data. Today.

You are deploying autonomous workflows that make decisions without human oversight. They need clean, semantically consistent, governed inputs, not the fragmented data your current stack delivers.

02

Your regulator is no longer asking. They are requiring.

EU AI Act. MAS guidelines. DFSA frameworks. APRA CPS 234. AI auditability and data governance are now mandatory in regulated industries. Manual governance will not survive the next audit.

03

You cannot approve another 18-month programme.

Your organisation has spent $10M+ on transformation projects that delivered late, over budget, or not at all. The mandate from the board is clear: deliver AI value in weeks, not years.

04

You need optionality, not lock-in.

Technology is evolving too fast to commit to a single vendor. You need a platform-agnostic control plane that works across Databricks, Snowflake, AWS, Azure, and GCP, giving you the freedom to change course.

The Architecture

Three layers. One control plane.

DataReadyAI is a governed layer that sits above the data platform you run, with the cloud and model providers of your choice. It turns fragmented enterprise data into a unified, consistent semantic layer that any model or agent can act on safely, with access control, lineage and audit on every interaction. The result is production-grade AI delivered in weeks, not years.

CRM · ERP · Billing · Operational Systems · Data Lakes
↓
L1

Semantic Normalisation Engine

Automatically scans, tags, and unifies data across all enterprise source systems, resolving inconsistent naming, conflicting business logic, and fragmented schemas into a single, governed semantic model.

↓
L2

AI Orchestration Engine

Routes workflows, model calls, and agentic automations across the unified semantic layer. Model-agnostic and cloud-agnostic, works across Databricks, Snowflake, AWS, Azure, and GCP.

↓
L3

Governance & Activation Layer

Enforces data policies, maintains complete audit trails, validates AI outputs against compliance controls, and certifies production-grade activation. Governance that strengthens over time, not decays.

↓
Insights & Dashboards · AI Agents · Autonomous Agents · Business Applications
The Economics

Replace multi-million dollar transformation projects with infrastructure.

All figures shown are illustrative for reference. Commercial terms vary by client scope.

18–24
months

Traditional SI Model

Programme budgets typically in the $10M–$50M+ range. Sequential delivery. Consultant-dependent. Knowledge leaves when the team rotates. Governance decays from day one.

VS
6–8
weeks

DataReadyAI

Subscription engagement, sized to the scope of activated domains. Automated delivery. Platform-embedded knowledge. Governance enforced continuously. Value compounds with every domain activated.

~97%
Cost Displacement

Illustrative example: a $15M SI engagement replaced with a $300K platform subscription. Direct saving on a single initiative: ~$14.7M and 18 months of elapsed time. Actual outcomes vary by client engagement scope.

50%+
OpEx Reduction

Ongoing platform maintenance costs reduced by more than half. SI retainers and internal engineering resources redirected to strategic work.

Day 1
Revenue Acceleration

Every month of delayed AI deployment is foregone revenue. DataReadyAI compresses that delay from months to weeks, pulling forward the business impact.

Capabilities

Built for the problems consultants cannot solve permanently.

Each capability addresses a specific failure point in the traditional enterprise data transformation model.

Autonomous Semantic Normalisation

Discovers, maps, and standardises enterprise data schemas without manual intervention. Delivers a unified, AI-ready semantic layer in weeks rather than the 18–24 month SI modelling cycle it replaces.

Zero-Code Pipeline Generation

Automatically generates production-grade transformation pipelines, schema definitions, access policies, and documentation from the approved semantic model. No hand-written code required.

AI Orchestration Engine

Routes all AI model calls and agentic automations through the semantic layer. Model-agnostic and cloud-agnostic, works across OpenAI, Anthropic, Gemini, Databricks, and Snowflake.

Agentic Automation Deployment

Deploys autonomous AI agents that execute multi-step business workflows, customer churn intervention, revenue assurance, compliance monitoring, operating on governed data within policy-defined boundaries.

Auto-Healing Pipeline Architecture

Continuously monitors pipelines for source system changes and pipeline failures. Automatically diagnoses, resolves, and documents issues before they reach business users.

Governance & Compliance Automation

Embeds Data & AI governance directly into the execution layer as a real-time enforcement mechanism. Complete audit trails, AI process and decision traceability, and continuous regulatory compliance across every data flow.

Complete Auditability & Compliance Reporting

Generates immutable audit trails. Enables tracking of every transformation, model execution, and governance decision. AI output can be traced across business decision, source data and governing policy. Regulator-ready Day 1.

Brownfield Platform Optimisation

Scans existing data architectures, models, transformations and documentation to map data flows and generate the semantic normalisation layer. Extract Data Engineering and AI value from your existing platform investments.

Cloud Neutral Orchestration

Operates consistently across AWS, Azure, and GCP and across Databricks, Snowflake, and BigQuery. A single unified AI control plane, semantic model and governance framework regardless of underlying cloud or data platform. No vendor lock-in.

Real-Time Intelligence, Integrations & Reporting

Surfaces governed intelligence through AI assistants, autonomous agents, natural language query interfaces and data connectors for system-to-system integrations. Business users converse with their data directly. Executive reporting generated automatically from governed sources, not manually assembled.

Ready to see what your data can actually do?

Schedule a technical briefing. We will map your data estate and show you what production looks like in six weeks.

Request Technical Briefing
Outcomes

What changes after deployment.

Activities that traditionally consume 18-24 months and $10M+ in fees are compressed into weeks. Value delivery begins at activation and compounds as consumption expands.

Accelerated Delivery

  • Data onboarding from new sources, from months to days
  • Semantic model creation, from 18–24 month engagements to week-one delivery
  • AI agent deployment, from post-transformation aspiration to Day 1 capability
  • Data and AI governance activation, from manual design to automated enforcement
  • Time to first business insight, from quarters to weeks

Autonomous Operations

  • Source system scanning, tagging, and metadata management
  • Semantic entity recommendation and schema generation
  • Pipeline creation, testing, and documentation, with robust SDLC and CI/CD adherence for enterprise-grade automation and deployments
  • Pipeline failure profiling and auto-healing
  • Policy enforcement and audit trail generation
  • Technology and cloud-agnostic operations, business AI-in-a-box, no dependency on a single vendor platform or cloud

Precision Intelligence

  • AI model outputs, with semantically consistent, governed inputs
  • Business decisions and data activations from a single source of truth
  • Compliance reporting, continuously maintained audit trails
  • Customer intelligence, assembled from unified data
  • Conversational AI and autonomous agentic operations, Day 1, on consistent, trusted and secure data
Deployment

Three steps to production.

First value delivery in 2-3 weeks. Production-grade activation in 6-8 weeks. No armies of consultants required.

1

Connect

Point DataReadyAI at your existing data infrastructure on supported platforms. No migration required. No data duplication. Deployed within your own cloud tenancy.

2

Discover

Autonomous agents scan, classify, and normalise your enterprise data estate. AI-recommended semantic models reviewed and approved by your team.

3

Activate

Production-grade AI pipelines with built-in governance, agentic workflows, and continuous compliance from day one.

Week 1
Onboarding
Environment access, access to business and source system data sets, initial configuration
Weeks 1-2
Auto-Discovery
Automated scanning, tagging, and semantic recommendation
Weeks 2-3
Validation
Business stakeholder review and approval of semantic models. Customers can also add and edit the semantic models.
Weeks 3-4
Pipelines Live
Auto-generated, platform-specific transformation pipelines deployed to production
Week 4
Governance
Policy configuration, audit trails, compliance controls enabled
Weeks 4-6
Agents Live
First AI workflows and agents deployed against unified semantic layer
Ongoing
Expansion
New domains, units, and AI use cases onboarded progressively
Ecosystem

Works with your existing stack.

Industries

Purpose-built for regulated, data-intensive sectors.

Financial Services

Financial Services & Capital Markets

Custodian reconciliation, credit and covenant monitoring, and investor reporting on one governed layer.

Explore Healthcare

Healthcare & Life Sciences

Trustworthy patient records and research data at scale, with privacy controls intact.

Explore Government

Local & State Government

Settle who is liable, and know when to stop repairing, on defensible data.

Explore Insurance

Insurance: Life & General

Cleaner claims, sharper fraud signals and faster, governed underwriting.

Explore Mining & Resources

Mining & Resources

Reconcile equipment, contracts and compliance across every site.

Explore Telecommunications

Telecommunications

Network, customer and billing data unified for governed AI.

Explore
Explore all industries
Security

Operates within your infrastructure. Not alongside it.

DataReadyAI deploys inside your cloud tenancy. No enterprise data is transmitted to, stored on, processed by, or used for AI activation/processing on external systems.

Zero Data Exfiltration

Your data never leaves your environment. All semantic processing, transformation, and governance occurs within your own cloud tenancy.

VPC & SaaS Deployment

Runs inside your AWS, Azure, or GCP tenancy, or your Snowflake SaaS environment. Cloud-neutral by design. No forced migration, no vendor lock-in. The no-exfiltration guarantee applies in all deployment modes.

Role-Based Access Control

Granular RBAC enforced at the semantic layer. Data visibility governed by organisational policy, inheriting your platform’s IAM controls.

Complete Audit Trails

Every data transformation, model execution, and governance decision automatically logged with immutable, queryable audit records.

Encryption at Rest & In Transit

AES-256 and TLS 1.3 encryption consistent with enterprise cloud provider standards. SSO and identity management integration supported.

Regulatory Alignment

Designed for EU AI Act, APRA CPS 234, MAS guidelines, and DFSA frameworks. ISO 27001 and SOC 2 Type II certifications under consideration.

PII Identification & Access Control

Personally Identifiable Information (PII) data sets are identified, tagged and made accessible only to authorised users, in accordance with your organisational policy.

Plans

Three tiers. One platform.

Built for land-and-expand. Most customers begin on Launchpad or Accelerate and scale to Sovereign as their AI adoption deepens.

Launchpad

For teams getting started with AI-ready data.

2,500 VUs included monthly
$0.03 Overage per VU
Request Pricing

Platform features

  • AI-powered canvas and modeller
  • Medallion Architecture automation
  • Batch and real-time data ingestion
  • Structured and unstructured data pipeline automation and orchestration
  • Auto-healing pipelines
  • Real-time transformations and data refresh
  • Semantic layer automation
  • Schema drift handling and evolution
  • Conversational AI agent creation, deployment and orchestration
  • Agentic process automation
  • Document generation
  • Insights reporting and visualisation
  • Industry-standard models and KPIs
  • Real-time outbound data connectors
  • Legacy projections support
  • Ingestion framework (file and Kafka only)
  • AI-powered extractor
  • Business glossary and data classification
  • Lineage and observability
  • Fully CI/CD enabled with Git integration
  • Unlimited environments
  • Remote software upgrades
  • DRAI Value Units (VUs) for usage-based charging
  • SSO support
  • RBAC / ABAC
  • Industry certifications: ISO 27001, SOC 2 Type II (in progress)

Limits

  • Admin / Data Architect rolesUp to 5
  • AI agentsUp to 10
  • Agentic automationsUp to 10
  • Agent answers / automation stepsUnlimited

Support & success

  • Support hoursBusiness (9–5 AEST)
  • Annual health checks1 × per year
  • Forward AI Engineers day-1 discount20%
  • Outcome pricing layerAvailable
Most Popular

Accelerate

For teams scaling AI across the business.

5,000 VUs included monthly
$0.03 Overage per VU
Request Pricing

Platform features

  • AI-powered canvas and modeller
  • Medallion Architecture automation
  • Batch and real-time data ingestion
  • Structured and unstructured data pipeline automation and orchestration
  • Auto-healing pipelines
  • Real-time transformations and data refresh
  • Semantic layer automation
  • Schema drift handling and evolution
  • Conversational AI agent creation, deployment and orchestration
  • Agentic process automation
  • Document generation
  • Insights reporting and visualisation
  • Industry-standard models and KPIs
  • Real-time outbound data connectors
  • Legacy projections support
  • Ingestion framework (file and Kafka only)
  • AI-powered extractor
  • Business glossary and data classification
  • Lineage and observability
  • Fully CI/CD enabled with Git integration
  • Unlimited environments
  • Remote software upgrades
  • DRAI Value Units (VUs) for usage-based charging
  • SSO support
  • RBAC / ABAC
  • Industry certifications: ISO 27001, SOC 2 Type II (in progress)

Limits

  • Admin / Data Architect rolesUp to 25
  • AI agentsUp to 50
  • Agentic automationsUp to 50
  • Agent answers / automation stepsUnlimited

Support & success

  • Support hoursBusiness + named CSM
  • Annual health checks1 × per year
  • Forward AI Engineers day-1 discount25%
  • Outcome pricing layerAvailable

Sovereign

For enterprises operating at full scale, with full sovereignty.

10,000 VUs included monthly
$0.03 Overage per VU
Talk to Sales

Platform features

  • AI-powered canvas and modeller
  • Medallion Architecture automation
  • Batch and real-time data ingestion
  • Structured and unstructured data pipeline automation and orchestration
  • Auto-healing pipelines
  • Real-time transformations and data refresh
  • Semantic layer automation
  • Schema drift handling and evolution
  • Conversational AI agent creation, deployment and orchestration
  • Agentic process automation
  • Document generation
  • Insights reporting and visualisation
  • Industry-standard models and KPIs
  • Real-time outbound data connectors
  • Legacy projections support
  • Ingestion framework (file and Kafka only)
  • AI-powered extractor
  • Business glossary and data classification
  • Lineage and observability
  • Fully CI/CD enabled with Git integration
  • Unlimited environments
  • Remote software upgrades
  • DRAI Value Units (VUs) for usage-based charging
  • SSO support
  • RBAC / ABAC
  • Industry certifications: ISO 27001, SOC 2 Type II (in progress)

Limits

  • Admin / Data Architect rolesUnlimited
  • AI agentsUnlimited
  • Agentic automationsUnlimited
  • Agent answers / automation stepsUnlimited

Support & success

  • Support hours24×7 Sev-1 included
  • Annual health checks2 × per year
  • Forward AI Engineers day-1 discount30%
  • Outcome pricing layerAvailable

Excludes underlying cloud and platform costs. Multi-year terms: 2-year commitment receives 10% platform discount, 3-year commitment receives 18%. All figures shown are illustrative for reference only. Commercial terms are confirmed at contract execution and vary by client scope, sector and scale.

About

The control plane layer is not optional. It is the missing piece of every enterprise AI stack.

DataReadyAI is building the defining infrastructure layer of the enterprise AI stack, the control plane that makes enterprise AI reliable, governed, and scalable for the first time.

Founded in 2025 by enterprise data architects and financial services technologists who spent decades working on and overseeing multiple $10M+ Data and Digital transformation programs facing similar challenges of high delivery risks, costs, delayed and suboptimal business value realisation, skill challenges and change management and adoption complexities. The bottleneck was never the AI models. It was always the data infrastructure between systems and intelligence.

The founding team brings combined 100+ years of experience across enterprise data architecture, financial services technology, global consulting programmes, and AI platform engineering.

100+ Years Combined Experience
2025 Founded in Australia
40+ Person Team
Get Started

See what 6 weeks can deliver.

Schedule a technical briefing with our team. We will map your data estate and demonstrate the deployment timeline for your environment.

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