DataReadyAI capabilities span the full path from raw, fragmented data to governed, production-grade AI outputs your teams can trust. Each one addresses a specific point where traditional transformation programmes stall, from semantic normalisation through to source-traceable activation. Together they form a single control plane that sits above the systems you already run.
Each capability addresses a specific failure point in the traditional enterprise data transformation model.
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.
Automatically generates production-grade transformation pipelines, schema definitions, access policies, and documentation from the approved semantic model. No hand-written code required.
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.
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.
Continuously monitors pipelines for source system changes and pipeline failures. Automatically diagnoses, resolves, and documents issues before they reach business users.
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.
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.
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.
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.
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.
Schedule a technical briefing. We will map your data estate and show you what production looks like in six weeks.
Request Technical BriefingThe same control plane, grouped around the three questions every executive asks before trusting AI with the business. Read the capabilities through the outcome you need first.
Every figure an agent returns carries its lineage back to the source system, the transformation that shaped it and the policy that governed it. Nothing is a black box, and nothing is taken on faith.
An immutable audit trail records each model execution and governance decision, and access control applies to every AI interaction, so regulators and boards can see exactly who asked what, and on which data.
The semantic layer is generated automatically from your existing estate, then pipelines and documentation follow from the approved model. Work that once ran for quarters completes in weeks.
Reporting packs assemble themselves from governed sources in a fraction of the time, so your teams spend their hours interpreting the numbers rather than stitching them together.
One control plane, one semantic model and one governance framework operate consistently across Databricks, Snowflake and BigQuery, with no rebuild when your platform strategy shifts.
Activation is model agnostic too, so you route each AI workload to the right model for the task and keep every one of them inside the same guardrails. No vendor lock-in.
Capabilities are not a collection of point features. They compose into governed agentic workflows and inherit the controls your enterprise already runs on, so every new use case starts compliant rather than waiting for compliance to catch up.
A unified, AI-ready model of your enterprise data that gives every agent and query the same trusted definition of a customer, a contract or a claim.
AI calls and multi-step agent workflows route through the control plane, where policy is enforced in real time as work runs, not reviewed after the fact.
Every output resolves back to the source data and the governing policy behind it, so business decisions rest on evidence your teams can inspect.
Your existing identity, roles and permissions extend to every AI interaction, so people and agents only ever reach the data they are entitled to.
Bring the control plane to the estate you already run and see governed, production-grade AI in weeks, not years.
