Explore the interactive demo
Watch how Reconcilify finds the small percentage of transactions systems disagree on—typically 3–7%. Each one represents revenue that needs confirmation. Your job: review and approve. Ours: catching them automatically.
Interactive demo available now. Production access isn't available yet—join the waitlist to be first in line when live environments open.
See the actual product interface
This is exactly how Reconcilify looks and feels. Toggle between light and dark modes, explore the navigation, and see how transactions flow through the system.
Desktop preview shown. The product also supports mobile workflows (swipe + exceptions review).
Click the sun/moon icon in the header to switch between light and dark themes
Riley AI explains every match
Unlike black-box solutions, Riley shows you exactly why it matched each transaction. Every confidence score comes with human-readable reasoning your team can trust.
- Confidence scores on every match (0-100%)
- Factor-by-factor breakdown (amount, date, merchant)
- Auto-approve high confidence matches (90%+)
- Flag low confidence for human review
Every element explained
Hover over any label to see how each part of the transaction card works. This is the same card you'll use to approve, flag, or edit transactions.
Examples across the confidence range
In the demo (and production), you’ll see auto-matched transactions alongside “needs review” and “flagged” exceptions.
$371.35
Membership Billing • Rivera Aesthetics
Oct 18, 2025
Matched:
$371.35
High confidence match. Can be auto-approved.
$285.00
Botox Treatment - Jones
Oct 16, 2025
Matched:
$282.50
Small variance. Usually fees, tips, or split tender.
$1200.00
Package Sale - VIP
Oct 15, 2025
Missing leg or timing mismatch. Needs investigation.
The 3–7% you actually review
Reconcilify auto-matches the majority, then flags the handful that need human confirmation—usually because of timing, fee variance, or missing legs of a split payment.
Missing Allé reimbursement
- Allé credit applied at checkout
- Reimbursement expected in 7–14 days
- Flagged if it doesn't arrive in-window
Financing fee variance
- CareCredit/Cherry fee depends on promo
- Net deposit differs from expected
- Flagged when fee delta is outside policy
Split tender unresolved
- One visit uses card + gift card + loyalty
- Each leg settles on a different cadence
- Flagged when one leg is missing
Below is a realistic preview of the exception queue: “Needs review” (medium confidence) and “Flagged” (low confidence).
Transactions Need Review3
Review exceptions flagged by Riley AI
5 transactions auto-matched
97%+ confidence • $3,713.5 total
$450.00
Aesthetic Pro Clinic
Oct 17
Matched:
$450.00
$285.00
Botox Treatment - Jones
Oct 16
Matched:
$282.50
$1200.00
Package Sale - VIP
Oct 15
Most practices clear the exception queue in 10–15 minutes a week.
Use the tiles below to jump to an explanation of each step, or open the sandbox to experience the full workflow end-to-end.
Five steps to reconciled books
Every tile below represents a step you'll experience in the interactive demo. Click into any step to understand what you're about to see.
Your sandbox experience
In the interactive demo, you'll follow the same workflow your team would use in production—just with sample data.
- 1Walk through a single visit with loyalty and split tender.
- 2See how deposits and fees reconcile to your bank.
- 3Review exceptions the engine flags automatically.
- 4Resolve issues and confirm the reconciled result.
- 5View a simple ROI snapshot based on that cycle.
Open the sandbox and follow these steps at your own pace.
Open Interactive DemoSample data only - no real transactions, no PHI.
Estimate your ROI before you talk to us
Use your own volumes to estimate how much time and revenue Reconcilify could recover. This is the same logic we use in our internal models and demos.
Typically 3–7% of transactions need investigation (5% is a common midpoint)
Your Estimated Results
This mirrors the ROI snapshot you'll see inside Reconcilify
Try the Interactive DemoReady to see Reconcilify in action?
Start with the interactive demo, then join the waitlist for early access. Self-serve onboarding is coming soon. Join the waitlist and we'll notify you when you can connect your own data.