Reporting pack preparation support
Assembling board packs, management reports, and investor decks involves pulling structured data, formatting it consistently, and producing narrative summaries. AI can handle the assembly and first-draft narrative while humans own the story.
What this workflow is
The recurring process of compiling financial data, KPIs, and narrative commentary into formatted packs for board meetings, management reviews, or investor updates.
Why teams struggle with it
The work is part data-pull, part formatting, and part storytelling — all under a tight deadline. Templates drift across periods, data sources multiply, and the narrative sections get written last under time pressure.
Why generic AI often fails here
Generic AI can write narrative, but it doesn't know which KPIs matter, what the board asked about last quarter, or how to reconcile numbers across sections. It produces fluent text that may not match the actual data.
Where AI can actually help
Automated data assembly from source systems into report templates. Draft narrative sections grounded in actual data. Consistency checks across sections. Version tracking so reviewers know what changed between drafts.
Inputs the system needs
- Financial data from GL, sub-ledgers, and KPI systems
- Report templates with section definitions
- Prior period reports for comparison and tone matching
- Board or management questions from prior meetings
- Brand and formatting guidelines
Outputs the system produces
- Populated report templates with current period data
- Draft narrative sections grounded in actual figures
- Cross-section consistency flags
- Change log between draft versions
- Final formatted pack ready for review
Controls that matter
- Every number in the narrative must trace back to a source
- Draft sections must be clearly marked as AI-generated
- Final sign-off remains with the CFO or designated reviewer
- Template changes must be versioned and approved
When this is not a good fit
When report formats change every period with no stable template, when data sources are not structured or automated, or when the narrative is highly strategic and cannot be first-drafted from data alone.
Reporting pack automation readiness
- Report templates are standardized with defined sections
- Financial data is available via API or structured export
- KPI definitions are documented and consistent
- Prior period reports are archived in a retrievable format
- Review and approval workflow is defined
- At least 3 periods of historical reports exist for tone calibration