AI Development
Document AI (PDF Intelligence)
Turn messy PDFs and documents into structured data your systems can use. We build extraction pipelines, validation rules, and review flows—so automation is reliable and audit-friendly. Delivery aligned to Australia teams (AUD).
Overview
What this service is
Document AI covers parsing and extracting structured fields from PDFs, scanned documents, and forms—often with OCR and schema validation.
We implement workflows that handle real-world messiness: low-quality scans, missing fields, tables, and inconsistent formats.
Delivery includes review queues, confidence thresholds, and monitoring so automation improves over time without breaking compliance expectations.
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Benefits
What you get
Reduce manual data entry and review effort
Handle messy PDFs with validation and fallbacks
Turn documents into clean JSON and database records
Add human review queues for edge cases
Improve accuracy with evals and sampling
Keep an audit trail for compliance workflows
Features
What we deliver
OCR + parsing pipeline
Extract text from scans, handle multi-page PDFs, preserve structure, and normalize outputs consistently.
Schema-based field extraction
Define the fields you need and extract into typed JSON with validation rules and confidence scoring.
Table and invoice-style documents
Capture line items and tabular data reliably with post-processing and reconciliation checks.
Human review workflow
Review queues for low-confidence outputs with side-by-side previews, edit controls, and approval logs.
Document search + Q&A (optional RAG)
Search across document libraries and answer questions with citations and permission-aware access.
Monitoring + quality iteration
Sampling, evaluation tests, drift tracking, and dashboards for extraction accuracy and failure modes.
Process
How we work
Discovery
Document types, required fields, and success criteria.
Prototype
Extraction baseline on sample documents.
Pipeline build
OCR/parsing, schema extraction, validation, and storage.
Review UX
Human review queue and audit logging.
Launch
Monitoring, sampling, and iteration plan.
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Invoice and receipt processing
Extract vendor, totals, line items, and metadata with validation and review workflows.
KYC and onboarding documents
Capture required fields, verify completeness, and route to review with auditable trails.
Contract and policy extraction
Extract clauses, dates, obligations, and structured summaries with citations for verification.
Research PDF libraries
Search and compare across large document sets with citations and controlled access.
Operations forms digitization
Convert internal forms into structured records and workflow triggers for faster ops.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Secure Mobile Solution in Australian Defence Ecosystem
Problem: Secure data workflows were required in a regulated environment with strict access controls.
Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.
Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.
AI Knowledge Base Across 2,000+ Pages
Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.
Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.
Outcome: Reliable answers with <10s response times and measurable improvements on real queries.
Ops Automation with AI + n8n
Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.
Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.
Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.
Explore
Related solutions & technologies
Useful next pages if you’re planning an AI pilot or scaling this into a larger product.
Related solutions
FAQ
Frequently asked questions
Yes. We use OCR to extract text and then apply schema extraction and validation, with review queues for low-confidence cases.
Yes. We implement table capture with post-processing checks to make sure totals and line items reconcile correctly.
We define validation rules, set confidence thresholds, add human review, and run evaluation tests on representative document samples.
We can store in your existing storage (S3/Blob) and keep metadata and extracted fields in your database with clear retention rules.
Yes. We can add document search + RAG Q&A with citations and permission-aware access on top of extraction workflows.
A sample set of documents, the fields you need, and any compliance or retention constraints.
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Regional
Delivery considerations for your region
Compliance & Data (AU)
For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.
We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.
- Privacy Act-aware delivery posture (generic, no legal claims)
- Documented data flows and access boundaries
- Retention/deletion options where required
- PII-safe logging and least-privilege defaults
- NDA and DPA templates available on request
Timezone & Collaboration (APAC)
We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.
We keep momentum with weekly milestones, crisp priorities, and predictable release planning.
- APAC overlap with AEST/AEDT windows
- Async-first updates and written decisions
- Weekly milestone demos and scope control
- Release planning with staged rollouts
- Clear escalation path for blockers
Engagement & Procurement (AU)
We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.
If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.
- AUD-based engagements and invoicing options
- Milestone-based billing for fixed-scope work
- Time-and-materials for evolving scope
- Procurement-friendly documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (APAC)
With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.
We use performance budgets and release checklists so handoffs stay smooth across timezones.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback plan for production launches
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Want help with Document AI?
Get a clear plan for Australia teams—scope, timeline, and next steps. AUD-based engagements.
Reply within 2 hours. No-pressure consultation.