Use case
Board packs that start from governed numbers — not copy-paste
Executives still assemble board decks by reconciling five versions of the truth in PowerPoint. Arcloops designs AI-assisted board reporting that drafts narrative from approved metrics and owners — so leadership debates decisions, not which spreadsheet is current.
The problem: the board pack as a cottage industry
Every cycle, FP&A and chiefs of staff chase business units for slides. Metrics disagree across BI tools. Commentary is rewritten overnight. Sensitive numbers leak through email attachments. Directors receive packs late and still ask basic definitional questions in the room.
The labour is repetitive but high-stakes. Variance explanations are reinvented. Risk and ESG sections arrive from different owners with inconsistent tone. Version control fails: the “final_v7_REAL” file is not the one presented. After the meeting, actions live in notes nobody tracks.
As groups add entities and markets, the cottage industry collapses under volume. Hiring more analysts to paste charts does not create better governance. Leadership wants AI to “write the board pack” without noticing that the metric dictionary is undefined.
CEO/COO offices own pack structure; FP&A owns financial truth; risk/compliance own specific sections; IT owns data platforms. Anti-patterns include generative narrative from ungoverned exports, auto-sending packs without CFO review, and inventing forward-looking claims the model cannot support.
Confidentiality and distribution discipline separate board AI from general BI chat. Packs contain M&A hints, people issues, and risk ratings that must not wander into personal email or uncontrolled generative tools. Versioning and named approvers before release are control features, not bureaucracy. Narrative quality needs guardrails too: routine variance commentary can be drafted; strategic judgment, legal characterisations, and forward-looking statements that imply guidance must stay human.
Cross-functional sections fail when owners are unclear. If ESG, cyber, and people metrics arrive as last-minute slides with incompatible definitions, no generative layer will create coherence. The metric dictionary and owner map are the hard work; AI assembly is the accelerator.
AI board reporting should assemble approved metrics, draft first-pass commentary with citations to sources, highlight variances needing human narrative, and leave sign-off with executives — not replace fiduciary judgment. Success looks like earlier complete drafts and directors debating decisions on agreed numbers — not a promise that boards will “make better decisions” because a model wrote prose.
AI approach
Define a board metric dictionary and owners
Each KPI has a definition, source system, refresh cadence, and accountable owner. Ambiguous vanity metrics are cut. Pack structure (financials, risk, operations, people) is standardised across cycles.
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Assemble figures and draft variance narratives
Governed extracts feed tables and charts. Models draft commentary for routine variances with links to underlying data; unusual or strategic items are flagged for human writing. What good looks like: a complete first draft for CFO review days earlier than today.
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Control distribution and versioning
Packs are generated into a controlled workspace with access lists and immutable versions for the meeting of record. Side-channel PPT emailing is discouraged. Sensitive appendices follow need-to-know rules.
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Capture decisions and feed the next cycle
Board actions become tracked items. Recurring questions improve the metric dictionary. Failure modes: generative claims without source citations, and mixing unaudited management estimates into “actuals” without labels.
How Arcloops delivers this
Board reporting sits under /solutions/ai-for-executive-teams, with financial metric integrity often paired to /solutions/ai-in-finance. Governance and risk framing for AI-generated executive content maps to /ai-consulting/ai-governance-risk when boards want explicit controls on what AI may draft.
Delivery starts with the current pack template, metric dictionary gaps, and a pilot section (for example operations or finance variance) before a full-pack ambition. Integration notes cover BI/warehouse extracts, document generation, and optional Approvals for pack release. We measure cycle-time and rework; we do not invent board-effectiveness ROI.
Related offerings
Related pages & industry combinations
FAQ
No by default. Generation and human sign-off are separated. Release to the board list happens only after named executive approval.
Narratives are constrained to governed metric extracts and labelled estimates. Free-form invention of financials is out of scope. Low-confidence commentary is withheld for human writing.
Usually we orchestrate assembly and narrative on top of your existing warehouse/BI. Exact architecture is scoped to your stack.
Yes when those metric owners and definitions are in the dictionary. ESG-heavy programmes often pair with the dedicated ESG reporting use case.
Pilot one board section
Share your pack template and metric sources. Arcloops will outline a governed drafting pilot under AI for Executive Teams.