AI Data ExtractionData extraction begins with a definition of correct.
AI can extract fields from email, PDFs and free text, but wrong dates, names or quantities cascade through operations. Validate fields, preserve provenance and provide a correction path.
Built around your business · Tailored engineering · Clear delivery plan
Make repeated work
safer and clearer.
Prove value before scaling.
Automation is a tool.
Accountability stays human.
AI can extract fields from email, PDFs and free text, but wrong dates, names or quantities cascade through operations. Validate fields, preserve provenance and provide a correction path.
A moment worth redesigning
A retailer texts “three more of the last one.” Extracting the number 3 is useless without the customer’s previous order context.
Typical business scenario.
Find the goal and the risk.
Then design the workflow.
We begin with task context, data permission, failure cases and review points. These are proposed steps; whether AI belongs is determined in discovery.
More than a prompt: usable delivery.
Deliverables depend on the workflow, privacy, security, model operating costs, platform access and ownership.
Sources, fields and context
Schema validation and exception flags
Corrections, sampling and monitoring
AI must be evaluated for Australian privacy duties, data use, human oversight, accuracy and access controls. Validate lawful collection and appropriate notice before handling personal data. OAIC ↗
How will we know it helped?
Measure time, accuracy, exceptions and model running costs against the current baseline.
Field and transaction review error rate
Track changes in field and transaction review error rate against the baseline.
Corrections, duplicates and missed items
Track changes in corrections, duplicates and missed items against the baseline.
Net time saved including human review
Track changes in net time saved including human review against the baseline.
What else does
the workflow touch?
Even a simple AI task may depend on knowledge, APIs, human approvals, customer data and monitoring. Explore adjacent services to scope the full workflow.
Choose one useful workflow.
Then choose the technology.
Tell us about one repeated task and what mistakes cost. We will compare rules, workflow platforms and AI before recommending an approach.