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PDFs & contracts
Contracts, RFQs, proposals, invoices, forms, and reports
Data ingestion & normalization
StructuredLayer does not treat extraction as the finish line. Authorised source material is classified, normalized, matched, validated, linked to its provenance, and either published into the operating layer or routed for accountable review.
Source landscape
Important construction and property information often starts in documents, messages, exports, specialist systems, and restricted interfaces. The ingestion method follows authority, sensitivity, volume, and source behaviour.
Contracts, RFQs, proposals, invoices, forms, and reports
Packages, revisions, addenda, sheets, and technical references
Registers, estimates, trackers, exports, and locally maintained lists
Outlook, Gmail, shared inboxes, threads, notices, and files
SharePoint, OneDrive, Google Drive, Dropbox, and network storage
Authorised downloads, notices, status, documents, and submission evidence
CRM, estimating, project, finance, maintenance, and operational systems
Supported interfaces, reports, webhooks, CSV files, and scheduled transfers
Transformation pipeline
Each stage preserves enough evidence to inspect what changed, why two records were linked, which source controlled the value, and where a person intervened.
Confirm source ownership, permitted access, sensitivity, expected volume, update frequency, and the business purpose for each source.
Preserve the original file, export, message, source URL, retrieval time, system, and authorised account used to obtain it.
Identify document or record type and extract only the fields, sections, tables, dates, identifiers, and relationships required by the workflow.
Map names, dates, currencies, units, addresses, statuses, codes, and controlled choices into agreed formats without hiding the original value.
Resolve whether a company, contact, RFQ, project, estimate, document, invoice, or change record already exists before creating another.
Use stable identifiers so different systems can recognise the same entity while preserving each source system's native ID.
Check required fields, relationships, totals, versions, duplicates, source authority, permissions, and conflicts against acceptance rules.
Update approved connected records when evidence passes validation and route uncertain, incomplete, or conflicting cases to an accountable person.
A normalized value should retain the original value, source system, native identifier, retrieval time, transformation rule, and review history where those details are material. The connected record becomes usable without pretending the source never differed.
Illustrative document preparation
A document package becomes operational only when the source, type, current issue, required fields, conflicts, and review state remain visible. This sequence is an implementation pattern, not a claimed client result or automated guarantee.
Inventory the authorised portal, inbox, folder, export, and project locations that may contain the current package.
Separate instructions, drawings, specifications, addenda, forms, correspondence, and supporting material.
Prepare only the agreed dates, identifiers, requirements, references, and other fields needed by the workflow.
Compare issue identifiers, dates, superseded files, duplicate names, missing material, and conflicting source statements.
Expose validated records and a document register while routing uncertain, incomplete, or consequential cases to a named person.
For bid material, the same sequence can feed a source-linked RFQ record, estimator-facing document register, current-issue check, and exception queue.
See bid portal ingestionThey do more than prevent duplicates. Durable identity lets systems recognise that different names, files, exports, and transactions describe the same business entity.
See the connected record modelCompany ID
CRM, accounting, project, vendor, and contact matching
Contact ID
Roles, communication, company relationships, and permissions
Opportunity / RFQ ID
Invitations, due dates, decisions, documents, estimates, and follow-up
Project ID
Delivery records, correspondence, costs, documents, reporting, and retrieval
Estimate ID
Estimate versions, assumptions, approvals, proposals, and award handoff
Document / Revision ID
Current-versus-superseded state, citations, and controlled issue
Invoice / Cost ID
Financial matching, status, approvals, exceptions, and reconciliation
Change Order ID
Scope, contract value, evidence, approval status, and audit history
Source-grounded AI path
The positive path moves from an authorised source through connected records and controlled retrieval. It can improve relevance and traceability, but human validation remains necessary for important decisions.
Authorised source
Classification & extraction
Normalized fields
Matched connected record
Source authority
Permission filter
Focused retrieval
Citation & provenance
Human validation
Reliable does not mean guaranteed. Conflicting sources, extraction errors, missing context, model limitations, and changed business rules still require testing, citations, confidence handling, and accountable review.
Exception handling
A dependable pipeline makes failed, incomplete, or ambiguous cases visible and preserves the evidence needed for a person to resolve them.
Hold the proposed record or relationship for review instead of creating a silent duplicate.
Show each source and let the responsible owner confirm whether records are the same entity.
Preserve all versions, identify their status, and require confirmation of the authoritative one.
Record what is absent, stop dependent actions, and assign a request or follow-up.
Keep the source and failure detail, avoid partial publication, and route correction to a named queue.
Pause the affected mapping or integration, alert the owner, and test the revised source before resuming.
Maintenance ownership
Sources, schemas, mappings, portals, validation rules, and vendors change. The delivery documentation assigns ownership instead of treating ingestion as a permanent unattended connection.
A new source, revised portal, changed API, expanded dataset, different identifier, or new validation rule is assessed against the operating model. It becomes client maintenance or a separately scoped improvement rather than an invisible extension of stabilization.
Workflow assessment
Identify where information enters, how it changes, which source controls each value, how records should match, what requires human review, and who will maintain the pipeline after handover.