Structural AI Readiness

AI is already operating inside your business. The question is whether you control it.

Lumen & Lever helps executives and boards establish control over AI already in use, assess whether documents preserve source structure, define what an implementer must satisfy, or determine whether the organisation is structurally ready to scale AI further.

Built on enterprise architecture, regulated systems, and production software delivery experience across banking, insurance, exchange, healthcare, technology, and defence environments.

Experience across environments including Commonwealth Bank of Australia, Deutsche Bank, Zurich Insurance, ASX, GlaxoSmithKline, IBM, and defence-sector systems. No vendor affiliation. Implementation-neutral.

Four interventions: establish control over AI already in use, assess document structure before AI retrieval, brief implementation control for a chosen workflow, or determine whether the organisation is structurally ready to scale AI further.

Intervention One

AI Usage Control Baseline

Best for: AI is already being used across the business and leadership does not yet have a reliable management view.

Outcome: A register of active AI use, exposure classification, and immediate proceed / conditions / stop control guidance.

Duration and price:
1 week: AUD 7,500
2 weeks: AUD 15,000

View sample
Intervention Two

Document Structure Review

Best for: Documents are being used inside AI, RAG, legal discovery, financial tracing, internal search, compliance review, or knowledge workflows.

Outcome: A one-week review of extraction quality, table and layout preservation, diagnostics, privacy requirements, and source traceability.

Duration and price:
AUD 9,500 to 12,500
1 week

Intervention Three

Implementation Control Brief

Best for: You have identified a specific AI workflow and need a controlled brief for whoever will build or configure it.

Outcome: Workflow boundary, data sensitivity, required outputs, human review points, evaluation criteria, audit requirements, and acceptance gates.

Duration and price:
AUD 12,500 to 18,000
1 to 2 weeks

View sample
Intervention Four

4-Week Structural AI Architecture Sprint

Best for: You are considering further AI investment and need board-grade readiness, control, and capital discipline before scaling.

Outcome: A board-ready structural briefing pack with readiness assessment, governance gaps, cost modelling, remediation priorities, and capital gate criteria.

Price:
AUD 40,000 to 55,000

The Real Risk

AI Is Already Operating Inside the Business

The immediate risk is not experimentation. It is AI use spreading through tools, accounts, and workflows leadership does not fully control.

  • Unregistered AI use across teams
  • Client or commercial data entering consumer AI tools
  • No clear review discipline for generated output
  • No immediate way to stop unsafe usage
  • Costs and obligations expanding without visibility

At small scale, this hides. At scale, it becomes expensive to unwind.

The question is not whether AI works.
The question is whether the business controls it.

Document Ingestion

AI Governance Begins Before the Model

Most enterprise AI systems do not begin with a model.

They begin with documents.

Contracts, correspondence, policies, board papers, bank statements, case files, legacy exports, and PDF bundles are pulled into pipelines, flattened into text, chunked, embedded, and treated as if meaning survived intact.

Often it did not.

  • Tables become paragraphs.
  • Page evidence disappears.
  • Annotations are detached from context.
  • Legal chronology becomes approximate.
  • Financial rows lose their relationship to columns.
  • Source traceability is replaced by a confidence score.

Lumen & Lever treats document ingestion as part of AI control, not a technical afterthought.

View Document Structure Review
Built Infrastructure

Sourcetrace by Lumen & Lever

Sourcetrace is Lumen & Lever’s local-first document-structure layer for AI pipelines.

It exists because document quality starts before retrieval, before chunking, and before model reasoning.

Sourcetrace preserves source evidence, layout, tables, annotations, metadata, and diagnostics before documents are passed into AI systems.

01

Sourcetrace RTF

Read RTF as structure, not just text.

Powered by rtfstruct, Sourcetrace RTF converts Rich Text Format into a structured document AST, preserving paragraphs, inline styles, lists, tables, links, fields, annotations, notes, images, metadata, diagnostics, and source evidence where available.

Powered by rtfstruct · Apache-2.0 · Free open source

View Sourcetrace RTF
02

Sourcetrace PDF

Local-first PDF structure extraction for AI pipelines.

Powered by pdfstruct, Sourcetrace PDF converts born-digital PDFs into traceable, layout-aware JSON and Markdown, preserving page evidence, text positions, reading-order candidates, tables, links, annotations, metadata, and diagnostics where available.

Powered by pdfstruct · Source-available · Commercial production licence required

PDF tables are inferred, not declared. Sourcetrace PDF exposes confidence, evidence, and diagnostics rather than pretending layout recovery is certain.

View Sourcetrace PDF
The Sprint

4-Week Structural AI Architecture Sprint

Board-grade readiness, governance gaps, production-scale cost behaviour, override capability, and capital gate criteria before further AI spend.

AUD 40,000 to 55,000 · 4 weeks · Board-ready structural briefing pack

Next Step

Establish Control Before Exposure Compounds

If AI is already in use and leadership lacks a reliable management view, start with the Baseline.

If documents are being used inside AI retrieval or internal search, start with the Document Structure Review.

If a workflow has already been selected and the immediate need is a controlled brief for the builder, start with the Implementation Control Brief.

If the organisation is preparing for broader AI scale, further capital allocation, or board oversight, start with the Sprint.

We will assess whether a structural sprint is appropriate for your organisation.