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AICore Builder

Your data, AI-ready. Twelve weeks. Fixed.

Before your AI can scale reliably, your data layer needs to be structured, trusted, governed and reusable. AICore Builder builds that foundation in one quarter — starting with the domain and use case that matter most to you, rather than a broad, unfocused data program.

Start with an AI data readiness assessment
What it is — and isn't

AICore Builder is not a staffing model, a generic audit or a blanket data-cleaning exercise. It is a use-case-led pod that leaves you with governed, working data assets for AI, analytics, RAG and copilots — plus the rulebooks and dashboards to keep them current and useful.

What the pod runs

The seven workstreams

The systems, files and documents your use case actually needs, mapped.
Your completeness, consistency, duplication and gap picture, measured.
Your data standardised and reconciled across systems and manual trackers.
Your terms, attributes, relationships, rules and ownership, defined.
Your documents chunked, annotated and contextualised for RAG and copilots.
Traceability, controls and review workflows you can show an auditor.
What is ready, what is blocked, what needs remediation — visible at all times.
Timeline

How the 12 weeks run

Weeks 1–2

Diagnose

Use-case mapping, source inventory, readiness baseline, pod sizing.

Weeks 3–4

Design

Metadata model, taxonomy, cleansing rulebook, governance templates.

Weeks 5–9

Prepare

Cleansing, reconciliation, document structuring, annotation setup.

Weeks 10–12

Operationalise

Dashboards, scorecards, lineage logs, handover, next backlog.

Owned assets

What you keep

Data inventory register, quality baseline report, cleansing rulebook, metadata dictionary, annotation guidelines, AI-ready datasets, readiness dashboards, governance and lineage logs. All yours. No lock-in.

  • Data inventory register
  • Quality baseline report
  • Cleansing rulebook
  • Metadata dictionary
  • Annotation guidelines
  • AI-ready datasets
  • Readiness dashboards
  • Governance and lineage logs
Where it lands

Best fit

enterprise AI readinessRAG and copilotsfinance analyticssales and customer intelligencesupply chain analyticsdocument-heavy workflowsERP-linked AI use cases
FAQ

AICore Builder FAQ

A fixed 12-week data readiness pod that converts your priority enterprise data into governed, reusable AI-ready assets — datasets, metadata, rulebooks, dashboards, lineage and governance artefacts you keep.
No. Cleaning is one workstream of seven. The output is a working, governed data foundation scoped to a real AI use case — not simply a tidier version of the same data.

Get your priority data AI-ready in one quarter.

A fixed 12-week pod, scoped to your highest-value use case.

Start with an AI data readiness assessment