Upload the exports you already use
Start with a QuickBooks or Xero P&L and balance sheet in CSV or Excel format. No bank connection or accounting-system integration is required.
Monthly reporting, distilled
SYVEX AI turns QuickBooks and Xero exports into clear executive summaries, variance explanations, cash-flow flags, and next-month actions—ready for your review and branding.
Built for bookkeepers, fractional CFOs, and small accounting firms.
What to expect
Practical promises for an early product handling sensitive work.
No bank login
You choose the CSV or Excel exports used for each report.
Files deleted
Uploaded source files are removed after report generation.
Your data stays yours
Clear retention terms and an anonymized sample path for demos.
One focused workflow
SYVEX AI stays deliberately narrow: one monthly client report from familiar accounting exports. No sprawling operations suite and no complicated implementation.
Start with a QuickBooks or Xero P&L and balance sheet in CSV or Excel format. No bank connection or accounting-system integration is required.
SYVEX AI identifies revenue changes, expense drivers, margin movement, and cash-flow flags, then drafts plain-English variance explanations.
Example output: “Service revenue rose 12% from the prior month while contractor costs grew faster than sales, compressing gross margin.”
Review the analysis, add your firm's identity, and export a polished PDF with three to five focused actions for the month ahead.
Pricing by client portfolio
Straightforward monthly plans for independent advisors and growing firms. Early access is subject to product availability.
For a fractional CFO with 1–3 active clients.
$149 / month
For bookkeepers serving up to 5 businesses.
$299 / month
For accounting firms with 10–25 monthly cycles.
$499–$999 / month
Done-for-you onboarding · $499 once
Setup plus customization of your first three report templates.
Details before you upload
Spend the review on judgment—not formatting
Join SYVEX AI early access to evaluate the report workflow, shape the first release, and see an anonymized sample before using client data.