Brisbane, QLD ·
Classify the data before you connect it
The fastest way to end an AI project is to discover that a pilot indexed a folder containing employee records or client contracts. Decide which classifications of data may be processed, by which system, and in which region, before anything is connected.
Keep a human in the loop where the cost of being wrong is real
Drafting, summarising and triaging are strong early use cases because a human reviews the output. Decisions that affect a person's money, employment, health or legal position need explicit human sign-off and a record of it.
Log prompts and outputs like any other system of record
If you cannot reconstruct why an automated decision was made, you cannot defend it to a customer, an auditor or a regulator. Treat prompt and output logs as business records with a defined retention period.
Start with the process, not the model
The successful deployments we have delivered replaced a specific, measurable piece of manual work: quote preparation, ticket triage, document extraction, first-line customer response. They had a baseline before they had a model.
In short
Write the data classification, access, logging and human-review rules first. Projects that do this ship; projects that skip it get paused at the first hard question.
