Prepare a case for review.
Gather the relevant records, identify missing information and prepare a draft for a person to assess.
- Gather records
- Flag missing information
- Prepare a draft
- A person assesses
Start with one workflow your team needs to improve. Test the idea in a 30-day proof, then decide whether it deserves a production build.
A useful demo leaves practical questions unanswered. Those questions belong in the assessment, which starts with the process, the people responsible for it and the measure that would make a change worthwhile.
On the example it was shown.
Left unanswered, those questions are where an AI pilot stalls before production. They belong in the assessment, which starts with the process, the people responsible for it and the measure that would make a change worthwhile. Then we test one part of the work.
General-purpose AI tools may already be the right answer. A dedicated workflow earns its place when it handles a repeated task well enough to justify the effort of running it.
The first step is to map the work, identify the decisions worth improving and rank the candidates by value, feasibility and risk. Together, we choose one to test against agreed cases and measures.
The recommendation may be to build, buy, change the process or stop.
The proof runs in your environment or, where access requires it, an agreed controlled NTWRK workspace. The scope records the environment and the deliverables to be transferred. The proof’s dependencies and known limits are documented with it. The proof is not production. If the evidence supports a build, we scope integration, access, monitoring, human review and handover as the next engagement.
Gather the relevant records, identify missing information and prepare a draft for a person to assess.
Apply agreed categories, suggest the next owner and send uncertain cases for review.
Compare the work with an agreed checklist and flag exceptions for the person responsible.
A 30-day proof should leave you with enough information to decide what happens next. This example shows the question being tested, the cases used, the limits found and the reasons for the recommendation.
Illustrative example · synthetic informationStart with a repeated task whose outcome you can judge. Then ask:
Four yeses make it a candidate for a controlled test.
Quality, cost, response time, failure handling, operating effort.
It may not be the new workflow.
A production workflow needs more than a model that performs well in a test. It needs a named owner, access controls, operating instructions and a way to find and resolve failures.
The information the workflow is allowed to use.
The rules or model that propose an action.
A person approves the actions the scope says require approval.
Decision pointThe system takes only the actions the scope allows.
What the scope says will be recorded.
For decisions involving personal information, the record should help your privacy team understand what the system does and what information it uses.
New privacy-policy disclosures apply to covered Australian entities using personal information in certain computer-made or computer-assisted decisions that could significantly affect an individual’s rights or interests. The requirement concerns disclosure; it does not require a business to build or own the software.
START WITH THE WORK
Tell us where it slows down, where judgement matters and what a better result would mean. The first conversation will establish whether it’s worth testing.