Documents and reporting · Australian teams
AI management reporting
Prepare readable management commentary while keeping approved figures and source evidence in control.
Understand the service
What this means in practice
AI management reporting is most useful when reliable calculations already exist and the remaining work is explaining changes, collecting commentary or assembling a consistent report. A language model can help draft that narrative. The underlying totals, definitions and cut-off dates should come from controlled data and calculation logic.
Temrik can scope a report around one audience and one decision cycle. Start with the questions managers ask, then identify the authoritative sources for each metric. The design should make a missing or late data source visible rather than allowing a fluent narrative to disguise the gap.
- NIST: AI measurement and evaluation Measurement should reflect the technology and its use.
- NIST: Generative AI Profile Guidance on generative AI risks and controls.
A practical workflow example
A weekly operations report shows completed jobs, outstanding requests and overdue actions. The proposed workflow calculates those measures from approved records and prepares a narrative with links to exceptions. A manager checks the commentary, distinguishes observation from explanation and approves the report for distribution.
Proposed engagement
How we would approach the work
Define the report contract
Agree the audience, decisions, metric definitions, time period and source owners. Write down how late data and corrections will be handled.
Separate calculation from prose
Use deterministic calculations for figures and supply them to the drafting step. Require source support for explanations of why a measure changed.
Review before distribution
Reconcile reported values, inspect unusual changes and label uncertainty. Test a period with missing data as well as an ordinary reporting week.
Deliverables to agree in the scope
- A report outline, metric dictionary and source map.
- A proposed drafting and review workflow.
- A reconciliation checklist and baseline for preparation effort.
Access, sample information and reviewer availability affect the plan. Any implementation, provider costs, support arrangements and acceptance criteria are agreed before work begins.
Limits worth understanding
- AI cannot infer a reliable cause from a correlation or repair inconsistent metric definitions.
- Forecasts need a separately validated method; generated commentary is not financial advice.
Questions to bring to the first conversation
- Which decision should the report help a manager make?
- Who signs off the underlying figures?
- How will readers identify missing or provisional data?
Australian teams
Scope the work for your operating context.
For Australian reporting teams, specify the financial or operational reporting period and local cut-off time rather than assuming calendar-month data is sufficient. Keep any tax or accounting interpretation with the qualified person responsible for the report.
A starting reference for your review: OAIC: using commercially available AI products. Local obligations and deployment settings need to be assessed for the actual use case.
A focused next step
Work with Temrik.
Tell us about the workflow you want to improve and the outcome you need. We can review the context and discuss a focused assessment. Scope and price are agreed before paid work begins.