The problems AI-Ready Data Preparation exists to solve.
The same metric calculated differently in different reports
Analysts rebuilding logic in every new report
Structures that cannot answer new questions without redevelopment
No agreed definition of core business entities
What is AI-Ready Data Preparation?
SENIOR-LEDConceptual, logical and physical models
PRODUCTION-READYAgreed business definitions and glossary linkage
KPI-DEFINEDSemantic layer with certified measures
Get a free discovery sprint
Before you commit, we help you confirm the use case, check data readiness, define the KPI, and map what AI-Ready Data Preparation could deliver for your organisation.
For a limited number of teams each quarter, we run the full sprint free of charge.
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How AI-Ready Data Preparation runs.
01
Confirm objectives, stakeholders, constraints and success measures
Review current systems, data, controls and delivery readiness
Prepare the target design, backlog, governance and implementation plan
Test the priority requirements through a prototype, pilot or controlled design review
Configure, integrate, test and deploy the approved solution
Train users, transfer knowledge and establish operating procedures
Monitor adoption, performance, cost, quality and improvement opportunities
What we bring to AI-Ready Data Preparation.
- 01Dimensional and semantic modelling depth
- 02Business definition facilitation with stakeholders
- 03Performance engineering for analytical workloads
- 04Model documentation linked to the data catalogue
- 05Design that anticipates AI consumption, not only reporting
What you get, and what follows
DELIVERABLESConceptual, logical and physical modelsAgreed business definitions and glossary linkageSemantic layer with certified measuresPerformance and storage designModel documentation and lineageHandover and enablement
BUSINESS OUTCOMESOne agreed definition of every core metricReports that reconcile to each otherNew questions answered without rebuildingFaster, cheaper report developmentA data structure AI systems can reason over reliably
How we engage on AI-Ready Data Preparation.
INDICATIVE VALUEA$250,000 – A$1,200,000A guide only. The scoping call confirms the range for your environment, data and compliance obligations before anything is committed.
DELIVERY MODELMilestone based, or time and materials for evolving scopeDelivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.Discuss scope and timing ›
WHO THIS IS FOR
- Banks, insurers, superannuation funds and professional-services firms
- Construction, engineering and infrastructure contractors
- Government agencies and regulated public-sector bodies
- Large enterprises and mid-market organisations undergoing modernisation
What our customers say.
All customer stories"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
Finance ManagerGCC Construction Group, Dubai"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
Project DirectorTier-One Contractor, Sydney"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai
Commercial DirectorProperty Developer, Dubai"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.
Group CFOInfrastructure Holding, Riyadh
Group CFOInfrastructure Holding, RiyadhOur partnerships with
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