This is the Electi Review. Today, automating a client report does not fix broken reporting. If you only automate the final PDF export, you leave the expensive preparation untouched and risk putting wrong figures in front of clients faster. According to a Gartner study reported by CFO Dive, avoidable rework consumes up to 30% of a full-time employee's time. When finance and operations teams spend every cycle correcting identifiers and reconciling spreadsheets, a scheduled send solves nothing. A peer-reviewed case study in Database Systems Journal showed reporting time dropping from 36 hours to seven hours after implementation and staff familiarization. Achieving that requires treating client reporting like a controlled publishing process, where every number carries a traceable timestamp, a check status, and an accountable approver. The setup follows six stages. Mapping sources, defining metrics, building templates, scheduling runs, validating outputs, and distributing and archiving. Teams routinely fail by designing templates first. Source ownership and written, versioned metric formulas must be locked down before layout begins, or a dispute over revenue recognition becomes a layout rebuild. Ingestion rules must standardize client identifiers, time zones, and currency conversion, and must display data unavailable when a source fails, never substituting zero. Instead of maintaining separate files, govern one master template using client configuration parameters and five to seven headline KPI tiles. Automate timestamps, trends, and variance drafts, but keep recommendations written by hand because they require business context. Schedule runs around data readiness rather than email deadlines, separating the period activity cutoff from the post-close snapshot freeze. Validation must run after generation and before distribution, checking completeness, freshness, reconciliation, duplicates, anomaly thresholds, and schema. Financial reconciliation failures must automatically block delivery. McKinsey's State of AI survey notes that only 27% of organizations using generative AI review all generated content before use. Exception based review, recorded human sign off, and archiving the data snapshot are non negotiable. Before switching off manual reporting, run the automated pack in parallel for two consecutive clean cycles and retain your manual fallback for one cycle after Go Live. That's the review.