The Sync AI Finance Agent watches the numbers finance usually reconstructs after the fact: AR aging, review and performance, margin by style and season, cost actualization and BOM variance against standard, and the customer analysis behind it all - refreshed on a schedule from live Sync data.
Aging, review and performance in one pass - who is past terms, how far, what changed since the last run - so collections start from a live list instead of a month-old export.
Sync Demo dataset
Margin by style and season, with cost actualization against standard so BOM variance has a name - a fabric price move, freight, a factory change - instead of a shrug at month end.
Every run refreshes the views that usually wait for month end.
Who is past terms, how far, and what moved since the last run - a live collections list.
Blended and style-level margin by season and channel, always current.
Actual landed cost against standard, so the margin number is real, not planned.
Growth, decline and concentration by customer - who is carrying the season and who is a risk.
Sync AI agents run on a schedule inside Sync itself, against live data and within your existing Sync permission settings - the same roles and access your team already uses, with no side door. What an agent surfaces or creates is visible in Sync before it flows anywhere downstream.
And because Sync speaks MCP natively, you can interrogate everything an agent finds from the assistant you already use - Claude, ChatGPT, Gemini or Grok - through Sync MCP. The agent does the watching. You do the asking.
The Finance Agent works alongside six others, each watching its own desk inside Sync. Pick the next one.
We selected Sync based on their highly efficient, finely tuned system that is apparel industry specific. Sync has provided the platform we required to grow our brands in the global arena.
We are in a 1000% better place now than we were with the old system. Sync has given us access to more data visibility and reporting than ever before.
Sync revolutionized our operations. Transitioning from a manual system was a game-changer… the team at Sync values our brand and treats us like a true partner.
It monitors AR aging, review and performance, margin by style and season, cost actualization and BOM variance against standard, and customer analysis - on a schedule, from live Sync data, so finance works from current numbers instead of month-old exports.
Sync AI agents run on a schedule you set - hourly, nightly, weekly, or on the cadence that matches the work. Each run checks live Sync data, not a stale snapshot.
An agent works within your existing Sync permission settings - the same roles and access controls your team already uses. Everything it surfaces or creates is visible in Sync before it flows anywhere downstream.
The agent compares the actual landed cost of a style against its standard cost from the BOM, and flags the variance with its driver - a fabric price move, freight, a factory change - at the style level. Margin views update from actuals, so the number finance reports is the number that happened.
Yes. Sync speaks MCP natively, so you can interrogate any agent's findings from Claude, ChatGPT, Gemini or Grok through Sync MCP - drill into a flag, ask for the why, or pull the detail behind a number.
The agents are part of the Sync AI layer of the Sync platform. Book a demo and we will configure it against a real product range so you can see what it catches on data like yours.
Bring last season. We will show AR aging, style-level margin and the BOM variances the agent finds, live.