PAI provides a unified platform that connects production, finance, and leadership teams, enabling real‑time tracking of project margins, expenses, and vendor costs. By consolidating estimates, budgets, timelines, and payroll into a single live data source, it eliminates spreadsheet chaos and version conflicts for agencies and in‑house teams managing multiple vendors and large budgets.
Funding
Funding not disclosed
Founders
Product
Problem
Production, finance, and leadership teams in agencies and in‑house studios often rely on multiple disconnected tools and spreadsheets, leading to version conflicts, delayed visibility into project spend, and difficulty managing vendor rates across estimates, budgets, timelines, and payroll.
Solution
PAI provides a unified SaaS platform that consolidates budgeting, vendor management, expense tracking, and payroll into a single live data source. The system syncs vendor rates automatically across all project components, enabling real‑time margin and spend monitoring. Production teams can see budget constraints while finance sees actual spend, eliminating version confusion. AI‑driven automation generates budgets, updates rates, processes invoices, and forwards them to accounting, reducing manual data entry. A centralized dashboard offers leadership high‑level financial snapshots and teams detailed spending clarity, while vendor histories and project notes are retained for continuity.
Target Audience
Primary users are mid‑size to large agencies, enterprise in‑house production teams, and other organizations that manage multiple vendors, tight margins, and high‑volume project portfolios.
Features
- Real‑time margin and spend tracking with committed, paid, and pending expense visibility
- Automatic synchronization of vendor rates across estimates, budgets, timelines, and payroll
- AI‑powered automation for budget generation, invoice approval, and rate card population
- Integrated vendor management with rate history, deal memos, and communication notifications
- Consolidated dashboard that provides workload overview, bottleneck identification, and producer performance metrics
- Secure, SOC 2 Type 2 and GDPR‑compliant data handling with full data ownership for customers