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.
Scope-led engagement · tailored engineering · not packaged SaaS
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.
Composite business vignette, not a client quote or measured result.
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 cost against a baseline—never invented success percentages.
Field and transaction review error rate
Establish a baseline before claiming improvement.
Corrections, duplicates and missed items
Establish a baseline before claiming improvement.
Net time saved including human review
Establish a baseline before claiming improvement.
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.