Practical FDO guide
AI reporting for agencies: automate preparation, keep review
AI reporting combines reliable data preparation with model-assisted summaries, explanations, and report drafts. For agencies and professional firms, a useful system keeps metric definitions, sources, client context, and human approval together. The goal is an accepted report that supports client work, not simply a document generated faster.
By AI Agentship · Published · Updated
Define the report the client actually needs
Start with one recurring report and the decision it supports. Name the account owner, reporting period, required measures, source systems, and approval standard. Keep data collection, calculations, narrative drafting, and client delivery as separate responsibilities.
A report contract can use these fields: measure name; business definition; source and source owner; date range and time zone; calculation rule; known limitation; narrative question; reviewer; and delivery destination. This makes the report reviewable before AI writes its commentary.
Connect sources and prepare an evidence-backed draft
Collect approved data and calculate defined metrics with deterministic queries or code. Supply the model with the results, relevant client context, and the report format. Ask it to distinguish observed changes from possible explanations and to flag missing information.
Do not infer the cause of a performance change from correlation alone. If a channel shows lower conversions, the draft should point to the observed figures and identify what needs investigation. An agent should not invent an explanation to fill an empty section.
Make review part of the workflow
The reviewer checks figures, time periods, source freshness, client identity, claims, and recommendations. Preserve the source snapshot or query record used for the draft. Keep rejected versions and corrections available so recurring problems can be fixed at their source.
A suggested output record includes draft link, source references, unresolved questions, review state, reviewer, acceptance timestamp, and delivery approval. A completed draft does not automatically authorize a client email or an update to a business record.
Measure the first useful report and subsequent cycles
Agree a first-value milestone before implementation: a real report is accepted and used, meets its standard, and demonstrates the intended benefit against comparable baseline work. Measure Time-to-Value from the agreed kickoff to that verified event. A sample dashboard or fabricated dataset is useful for testing but does not satisfy a live reporting milestone.
For subsequent cycles, compare preparation, review and rework, turnaround, and total cost per accepted report. Include connector costs, model usage, and human effort. A faster draft that increases checking time may not improve delivery economics. Use representative reporting periods before claiming a sustained improvement.
Implementation checklist
- Name the report, decision, and owner.
- Write metric definitions and source requirements.
- Calculate figures outside the narrative model.
- Keep evidence and unresolved questions beside the draft.
- Require approval before client delivery.
- Measure first value and repeated accepted reports.