Nordlith helps Bendigo businesses put AI to work on emails, routine administration and follow-ups—connected to the tools you already use, with your team in control.
A successful sample can hide the real project
A demonstration handles a clean document, but your team receives scans, missing fields and contradictory notes. The next investment depends on how the difficult inputs behave and how much review remains. A feasibility scope should identify what would make the project worth building—and what evidence would justify stopping or choosing a simpler product.
Choose between a product trial, a prototype and a build
Illustrative workflow: classify documents for review
- Assemble a redacted sample covering common types and deliberately difficult exceptions.
- Agree the categories and a 'needs review' outcome before testing.
- Evaluate unseen examples against a human-labelled reference, counting wrong confident classifications separately.
- Use the result and review workload to choose product, limited build, further investigation or no build.
A document outside the agreed categories should not be forced into the nearest label. Hold back test examples and record the exact version being evaluated. This does not establish a universal accuracy figure.
What makes the feasibility brief useful
- The specific uncertainty that could change the buying decision.
- Representative redacted samples, including unreadable and out-of-scope items.
- A labelled reference and a separate unseen test set.
- The cost of each error type and the acceptable human review burden.
- A go/no-go rule and the production work excluded from the test.
Keep the first enquiry general. Do not send passwords, tokens or confidential customer records.
A remote decision review with explicit stopping rules
Bendigo organisations can begin remotely with sample review and a scoped technical discussion. Keep the person funding the work involved in defining the decision threshold. Samples and handling arrangements need approval before transfer. Decide what production evidence would still be needed before treating a demonstration as a working system.
Before you decide.
Does a prototype commit us to a full build?
It should not. Its purpose is to reduce uncertainty and support a go, change direction or stop decision. Commercial terms are agreed separately.
How many examples do we need?
Enough to represent the task and its costly exceptions; the right sample depends on variability and risk. A clean handful is not evidence for all future inputs.
Can the prototype be used in production immediately?
Not on that evidence alone. Access, integration, recovery and operating responsibilities need their own scope and tests.
Continue from the decision.
What would be easier
if this worked properly?
Tell us where time or follow-through is being lost. We will start with the problem, not a product pitch.
Talk to Nordlith →