Campaign ROI from real manual spend entry joined to actual conversions and revenue, rule-based lead scoring, and accounts-receivable aging/leakage detection -- deliberately scoped to what's honestly derivable from your real data, not invented metrics.
Real spend is entered per campaign, by channel; ROI is computed against actual conversions, not an estimated or industry-average figure.
Every unpaid invoice lands in exactly one aging bucket (Not Yet Due through 90+ days overdue) by a fixed, inspectable due-date rule -- the same report any accountant would produce, deliberately not framed as an AI-predicted risk score.
Two deterministic signals: an invoice drafted with real line items but left unsent for 14+ days, and a project marked LIVE or ARCHIVED with zero invoice ever raised against it -- both honestly derivable from real Invoice/Project data, not a fabricated "leakage score."
A practical manual for setting up recurring reports and executive dashboards in SAVHN so leadership gets real visibility without anyone manually compiling it.
Comparing AI built into the core data model against third-party AI plugins layered on top of legacy software that was never designed to be reasoned over.
Campaign ROI from real spend data, transparent rule-based lead scoring, and AR leakage detection — deliberately scoped to what's honestly derivable from real data.
Enterprise deployment, workflow design, and data migration — talk to the team that builds it.