Construction
Construction

EnterFlow AI
•
Jan 11, 2021




Construction
Construction projects generate complex paperwork across many parties—general contractors, subcontractors, suppliers, and consultants. Invoices and applications for payment come in inconsistent formats, supporting documents arrive as scans and emails, and progress billing requires tight control over approvals, change orders, and compliance.
Enterflow applies AI OCR and document workflows to construction to convert project documents into structured data, validate them against contractual and project rules, and route them through approvals and payment processes with clear exceptions and auditability.
Where AI OCR delivers value in Construction
1) Subcontractor invoices and progress billing (Pay Apps)
Construction billing is rarely a simple invoice—often it is milestone-based and documentation-heavy.
Typical documents
subcontractor invoices
applications for payment (AIA-style pay apps, progress billing forms)
supporting schedules and continuation sheets
lien waivers (conditional/unconditional)
What we extract
project identifiers (job number, cost code, phase)
billing period, percent complete, amounts billed to date
retainage amounts and rates
line items by cost code / scope
references to change orders and approved variations
Workflow outcomes
faster review cycles and fewer disputes
consistent project cost visibility
clean data for ERP/job costing systems
2) Purchase orders, delivery notes, and materials paperwork
Materials management is a major cost driver and risk area.
Typical documents
purchase orders and confirmations
packing lists and delivery notes
supplier invoices and credits
What the workflow does
extracts PO numbers, supplier references, delivery dates, quantities
normalizes unit measures (each, pallet, cubic meter, etc.)
supports two-way/three-way matching (PO ↔ delivery ↔ invoice)
flags shortages, substitutions, or pricing deviations for approval
3) Change orders and variations
Untracked or inconsistently documented changes lead to margin erosion.
Typical documents
change order requests and approvals
variation orders
revised scopes and pricing schedules
email approvals and supporting attachments
What we extract and organize
change identifiers, dates, parties involved
scope changes and line-item pricing
approval status and required signatures
mapping between change orders and subsequent pay apps/invoices
Outcome: better financial control and fewer missed billable changes.
4) Compliance and safety documentation
Construction requires ongoing compliance tracking across vendors and sites.
Typical documents
insurance certificates (COIs)
safety documents, method statements, permits
subcontractor onboarding forms
inspection reports
What the workflow does
classifies documents by compliance type
extracts critical dates (effective/expiry), insured parties, policy numbers
flags expirations and missing certificates
creates structured compliance registers per project/vendor
5) Timecards, workforce documentation, and field reporting
Field documentation often arrives as photos, scans, or mixed forms.
Typical documents
timesheets/timecards
daily logs and site reports
equipment logs and rental records
What we extract
employee/vendor identifiers, dates, hours, rates
equipment IDs, usage hours, rental periods
structured summaries for payroll, cost tracking, and project reporting
6) Project close-out and audit readiness
At the end of a project (or during audits), teams need evidence fast.
What the workflow supports
searchable indexing of all project documents
metadata extraction (project, vendor, cost code, date, amount)
traceability from extracted values back to source pages
consistent document packaging for close-out and disputes
Construction-specific validation (controls that prevent leakage)
We implement checks tailored to construction workflows, such as:
retainage calculations and caps
progress-to-date consistency across billing periods
matching pay apps to approved contract values and change orders
duplicate invoice/pay app detection
cost code and job number normalization
tolerance rules for partial deliveries and staged billing
exception queues with reason codes (so issues are explainable to PMs and finance)
Key data we track (so ROI is concrete)
We define success using metrics that map to project controls and finance:
Approval cycle time (days from submission to approval)
Exception rate and root causes (missing COI, mismatch vs PO, unapproved change)
Straight-through processing rate for standardized documents
Job cost accuracy (reduction in miscoded or uncategorized spend)
Recovered value (missed change orders captured, overcharges flagged)
Cost per document vs manual processing
Integration targets (where the data goes)
We integrate structured outputs into your existing stack, commonly:
construction ERPs and job costing systems
procurement and vendor management tools
project management platforms
document management systems and shared drives
finance/AP systems for payment workflows
Integration patterns can be API-based, event-driven (webhooks/queues), or adapted for legacy environments.
Security and private deployments
Construction documents often contain contract pricing, bank details, personal data, and insurance documentation. We support:
private cloud deployments (AWS, Azure, or GCP)
private networking, encryption, IAM/RBAC, audit logs
configurable retention and deletion policies
Ready to streamline project paperwork and billing?
If you share representative documents (pay apps, invoices, COIs, change orders, delivery notes), we can map:
extraction targets and expected accuracy,
validation rules and exception routing,
integrations into your ERP/project systems,
and a phased rollout plan (pilot → scale).
Contact: info@enterflow.ai
Website: https://enterflow.ai/
Construction
Construction projects generate complex paperwork across many parties—general contractors, subcontractors, suppliers, and consultants. Invoices and applications for payment come in inconsistent formats, supporting documents arrive as scans and emails, and progress billing requires tight control over approvals, change orders, and compliance.
Enterflow applies AI OCR and document workflows to construction to convert project documents into structured data, validate them against contractual and project rules, and route them through approvals and payment processes with clear exceptions and auditability.
Where AI OCR delivers value in Construction
1) Subcontractor invoices and progress billing (Pay Apps)
Construction billing is rarely a simple invoice—often it is milestone-based and documentation-heavy.
Typical documents
subcontractor invoices
applications for payment (AIA-style pay apps, progress billing forms)
supporting schedules and continuation sheets
lien waivers (conditional/unconditional)
What we extract
project identifiers (job number, cost code, phase)
billing period, percent complete, amounts billed to date
retainage amounts and rates
line items by cost code / scope
references to change orders and approved variations
Workflow outcomes
faster review cycles and fewer disputes
consistent project cost visibility
clean data for ERP/job costing systems
2) Purchase orders, delivery notes, and materials paperwork
Materials management is a major cost driver and risk area.
Typical documents
purchase orders and confirmations
packing lists and delivery notes
supplier invoices and credits
What the workflow does
extracts PO numbers, supplier references, delivery dates, quantities
normalizes unit measures (each, pallet, cubic meter, etc.)
supports two-way/three-way matching (PO ↔ delivery ↔ invoice)
flags shortages, substitutions, or pricing deviations for approval
3) Change orders and variations
Untracked or inconsistently documented changes lead to margin erosion.
Typical documents
change order requests and approvals
variation orders
revised scopes and pricing schedules
email approvals and supporting attachments
What we extract and organize
change identifiers, dates, parties involved
scope changes and line-item pricing
approval status and required signatures
mapping between change orders and subsequent pay apps/invoices
Outcome: better financial control and fewer missed billable changes.
4) Compliance and safety documentation
Construction requires ongoing compliance tracking across vendors and sites.
Typical documents
insurance certificates (COIs)
safety documents, method statements, permits
subcontractor onboarding forms
inspection reports
What the workflow does
classifies documents by compliance type
extracts critical dates (effective/expiry), insured parties, policy numbers
flags expirations and missing certificates
creates structured compliance registers per project/vendor
5) Timecards, workforce documentation, and field reporting
Field documentation often arrives as photos, scans, or mixed forms.
Typical documents
timesheets/timecards
daily logs and site reports
equipment logs and rental records
What we extract
employee/vendor identifiers, dates, hours, rates
equipment IDs, usage hours, rental periods
structured summaries for payroll, cost tracking, and project reporting
6) Project close-out and audit readiness
At the end of a project (or during audits), teams need evidence fast.
What the workflow supports
searchable indexing of all project documents
metadata extraction (project, vendor, cost code, date, amount)
traceability from extracted values back to source pages
consistent document packaging for close-out and disputes
Construction-specific validation (controls that prevent leakage)
We implement checks tailored to construction workflows, such as:
retainage calculations and caps
progress-to-date consistency across billing periods
matching pay apps to approved contract values and change orders
duplicate invoice/pay app detection
cost code and job number normalization
tolerance rules for partial deliveries and staged billing
exception queues with reason codes (so issues are explainable to PMs and finance)
Key data we track (so ROI is concrete)
We define success using metrics that map to project controls and finance:
Approval cycle time (days from submission to approval)
Exception rate and root causes (missing COI, mismatch vs PO, unapproved change)
Straight-through processing rate for standardized documents
Job cost accuracy (reduction in miscoded or uncategorized spend)
Recovered value (missed change orders captured, overcharges flagged)
Cost per document vs manual processing
Integration targets (where the data goes)
We integrate structured outputs into your existing stack, commonly:
construction ERPs and job costing systems
procurement and vendor management tools
project management platforms
document management systems and shared drives
finance/AP systems for payment workflows
Integration patterns can be API-based, event-driven (webhooks/queues), or adapted for legacy environments.
Security and private deployments
Construction documents often contain contract pricing, bank details, personal data, and insurance documentation. We support:
private cloud deployments (AWS, Azure, or GCP)
private networking, encryption, IAM/RBAC, audit logs
configurable retention and deletion policies
Ready to streamline project paperwork and billing?
If you share representative documents (pay apps, invoices, COIs, change orders, delivery notes), we can map:
extraction targets and expected accuracy,
validation rules and exception routing,
integrations into your ERP/project systems,
and a phased rollout plan (pilot → scale).
Contact: info@enterflow.ai
Website: https://enterflow.ai/
Contact us
info@enterflow.ai
EnterFlow AI empowers you to unlock your business potential with AI OCR models
Vienna, Austria
Contact us
info@enterflow.ai
EnterFlow AI empowers you to unlock your business potential with AI OCR models
Vienna, Austria
Contact us
info@enterflow.ai
EnterFlow AI empowers you to unlock your business potential with AI OCR models
Vienna, Austria
