Problem Context

The Challenge of Manual Drawing Analysis

Architectural and construction teams often rely on manual review of drawing sets to extract panel information, dimensions, room references, and material details. These processes commonly introduce challenges such as:

Repetitive manual annotation of drawings

Inconsistent interpretation of panel codes and symbols

Difficulty correlating drawings with specification documents

Limited traceability between source drawings and extracted data

Increased coordination effort between design, documentation, and delivery teams

Core Capabilities

Automated AI-Assisted Workflow

MarkFlow™ provides an automated, AI-assisted workflow for analyzing architectural drawing PDFs and associated specification documents.

Intelligent Panel Detection and Marking

Analyzes architectural drawings to identify panel codes and visually annotate detected panels. Pattern-based detection with configurable panel code libraries and color-coded overlays.

AI-Assisted Data Extraction

Extracts structured information from annotated drawings using AI-assisted image analysis. Includes extraction of panel dimensions, identifiers, room references, and schema-based validation.

Specification Document Correlation

Processes specification documents and aligns extracted drawing data with authoritative specifications. Includes parsing of materials schedules and consistency checks.

Specification Document Correlation

Processes specification documents and aligns extracted drawing data with authoritative specifications. Includes parsing of materials schedules and consistency checks.

Processing Progress Visibility

Provides visibility into processing stages throughout the workflow with page-level status, clear workflow separation, and transparent completion indicators.

Output Generation

Produces structured outputs including consolidated tabular data files, annotated drawing PDFs, page-level exports, and structured JSON for system integration.

Configurable Panel Systems

Supports project-specific panel coding conventions with custom panel code definitions, flexible color assignments, and scale-aware processing parameters.

Job History and Persistence

All processing jobs are retained for traceability and reuse. Includes historical job records, downloadable past outputs, and controlled cleanup of stored artifacts.

Job History and Persistence

All processing jobs are retained for traceability and reuse. Includes historical job records, downloadable past outputs, and controlled cleanup of stored artifacts.

Solution Differentiators

What Makes MarkFlow™ Unique

Purpose-Built for Architectural Drawings

Designed around architectural drawing conventions, including panel code patterns, elevation and room labeling systems, drawing scale considerations, and specification alignment workflows.

Combined Visual and Structured Outputs

Uniquely combines visually annotated drawings with structured data extraction and direct linkage between visual context and data outputs.

Configurable and Adaptable

Adapts to varying project standards without requiring code changes via custom panel libraries, flexible workflow paths, and configurable extraction parameters.

Transparent Processing

All stages of the workflow are visible and auditable, reducing reliance on opaque automation.

Use Case Scenarios

Application Areas

Architectural Documentation Support

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Architectural Documentation Support

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Architectural Documentation Support

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Automated extraction of panel schedules from drawing sets to support documentation and coordination workflows.

Technical Specifications

Solution Architecture

MarkFlow™ is built on a modern, containerized architecture designed for production deployment across multiple environments.

OpenAI GPT Vision

AI/ML Foundation

FastAPI (Python)

API Layer

PyMuPDF

PDF Processing

Docker

Cloud-Ready Deployment

SQLite (Scalable)

Data Persistence

REST API + WebSocket

Integration

Deployment Options

MarkFlow™ supports multiple deployment models to fit your infrastructure requirements

Containerized Deployment

Docker-ready for AWS, Azure, GCP

API-First Architecture

RESTful endpoints for system integration

Real-Time Monitoring

Health checks and status tracking

Audit Trail

Complete job history and lineage

Special Offer

The AI Council Incubator

Not a trial. Not a demo. A working system producing a measurable result, built directly into how your organisation already works.

What the AI Council Incubator delivers

One working AI system built inside your operations

Integrated into existing tools, nothing new to learn

Measurable result agreed and documented before we build 

Full documentation + 30-day review report

No licence, platform, or ongoing commitment required 

What happens after you apply

Submit the form. It takes 2 minutes 

A senior practitioner contacts you within one business day 

45-minute scoping call where we map your workflows, not sell you tools 

We build. You see measurable results at 30 days. You decide whether to scale. 

Limited to two organisations per quarter. Currently accepting Q2 2026 application

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Office addresses:

10-20 Gwynne Street,
Cremorne VIC 3121,
Australia

Compass Building,

Ras Al Khaimah,

United Arab Emirates

Copyright ©HumaniseAI. All rights reserved.

Join our newsletter

Office addresses:

10-20 Gwynne Street,
Cremorne VIC 3121,
Australia

Compass Building,

Ras Al Khaimah,

United Arab Emirates

Copyright ©HumaniseAI. All rights reserved.

Join our newsletter

Office addresses:

10-20 Gwynne Street,
Cremorne VIC 3121,
Australia

Compass Building,

Ras Al Khaimah,

United Arab Emirates

Copyright ©HumaniseAI. All rights reserved.

Special offer

AI council incubator

We build AI inside your operations. At no cost

Your data, your systems, your actual AN-ACC position. Live in six weeks. Measurable result at 30 days. You decide whether to scale.

What you get

AI Roster Decision Engine integrated into your live systems

AN-ACC compliance tracking against your actual QTD data

Backfill engine running on real leave requests

Full audit trail and decision documentation

No licence, platform, or ongoing commitment required

What happens after you apply

Submit the 2-min form

AI consultant calls within 1 business day

45-minute scoping call

Results at 30 days

2 spots remaining for Q2 2026 for Your Age Care Business

If we can’t identify a workflow worth automating in the scoping call, we’ll tell you before we build anything. No cost, no obligation, no follow-up pitch.