AI readiness
AI can reason over the context it receives, but it cannot repair an undefined source of truth. StructuredLayer prepares the records, relationships, permissions, and retrieval controls needed before business information reaches a model.
Context cost
Costs grow when a system cannot isolate the small amount of information required for a task and repeatedly sends large, duplicated, or outdated context to the model.
Entire contract
Drawing revisions
Long email thread
Multiple spreadsheets
Duplicate proposals
Outdated notes
Potential cost chain
Model processing + repeated context + tool calls + employee verification + mistakes and rework
Retrieval before reasoning
The goal is not to promise a fixed token reduction. It is to retrieve a smaller, more relevant, permission-appropriate evidence set and measure the effect in the client’s actual workflow.
Keep one authoritative record or clearly identify current and historical versions.
Store project number, client, value, owner, status, dates, and relationships as usable fields.
Tag documents by project, company, type, revision, date, status, owner, and permission.
Connect documents, emails, contacts, estimates, change orders, and projects with reliable identifiers.
Identify which record or version controls the value, status, document, or decision.
Filter by project, date, type, status, owner, and access permission before involving the model.
Send only the current fields and document sections needed for the specific question.
Broad context
Hundreds of mixed documents
Duplicates, historical versions, unrelated files, and unclear authority passed into retrieval.
Focused evidence set
Current records and relevant sections
The approved contract section, latest change record, relevant messages, current project fields, and links to each source.
A model may select one number, combine values incorrectly, or present an assumption as an answer when documents conflict and their relationships are undefined.
Current contract value?
Signed contract
$2.1m
Project spreadsheet
$2.3m
Approved email change
+$200k
Until the change, status, and authority rules are defined, the model has context but not operational truth.
Access and evidence
Both improve the operating conditions around an answer. Neither guarantees correctness, so validation and professional judgement remain necessary.
Restrict retrieval by company, project, department, role, client, document classification, record-level access, and approved workspace.
A smaller approved search space can improve relevance while reducing the chance of exposing pricing, contracts, payroll, employee, or cross-client information.
A useful answer can include the source record or document, version, relevant date, page or section, direct link, and a warning when approved sources conflict.
Citations allow a person to inspect the evidence, challenge the interpretation, and preserve a more useful review history.
Provider data boundary
Before production use, the engagement separates each provider behaviour and confirms the approved account, settings, data categories, location, contractual terms, and deletion controls.
Which approved data is sent for a specific request, through which model and provider, and for what documented purpose.
Whether prompts, files, embeddings, outputs, or cached context are stored and in which approved account or region.
Which prompts, tool calls, outputs, errors, user identities, and review decisions remain available for operations or audit.
How long provider and application copies remain, what deletion controls exist, and how backups or legal holds affect removal.
A separate use that is not approved by default. It requires explicit review of purpose, terms, data, authority, and provider settings.
Client information is not approved for model training by default. A permitted request for summarisation or extraction does not itself authorise any broader provider use.
Review data controlsAction authority
The approval boundary follows the consequence of the action, the authority required, and the reliability of the available evidence.
Workflow assessment
Start by examining the records, source rules, permissions, retrieval path, conflicts, approval boundaries, and real questions the business expects the system to answer.
