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Continuous Matching
Match bank activity, payment records, remittances, bordereaux, policies, claims, ledgers, and source records as data arrives.
AI reconciliation that runs every day
Money Moved.
Money Matched.
Dream Hannah continuously matches money in and money out to the records behind it—so finance teams close faster, see exceptions while action is still possible, and catch errors and fraud before they become permanent.
Deterministic + AI matchingHuman-in-the-loop learningAudit-ready lineage
DHDream Hannah · Reconciliation Overview
This month ▾
Total reconciled$12.8Mlive view
Matching statusCurrentupdated continuously
Exceptions327ranked for review
Under review26needs action
Matched volume
Match coverage
MatchedAI reviewExceptionOpen
Recent reconciliations
| Flow | Amount | Record | Status |
|---|---|---|---|
| Insurance premium | $148,220 | Policy 82714 | Matched |
| Owner distribution | $82,144 | Ledger 5844 | Matched |
| Claim payment | $12,500 | Claim 10983 | AI review |
| Vendor payout | $6,980 | Invoice 8810 | Exception |
Designed for finance and operations teams across Insurance · Property Management · SaaS Platforms
Who Hannah Is
A finance agent and reconciliation analyst for your Dream team.
Hannah works 24/7 to reconcile the books, match expected vs. actual money movement, investigate exceptions, and keep the evidence attached to every transaction. She helps finance and operations teams close faster, protect every dollar, and spend less time assembling the story behind each payment.
Part of your Dream team to:
- Match deposits, payouts, and ledger activity
- Surface exceptions, fraud signals, and missing context
- Produce audit-ready worklists and evidence trails
Always on. Audit-ready. Built for finance and operations.
Why Dream Hannah
Close faster. See the messy remainder. Protect every dollar.
Matching is the starting point. Hannah turns the unmatched tail into a ranked worklist with context, reasoning, and evidence—so people spend time deciding, not assembling.
✦
Ranked Exceptions
High-confidence matches clear automatically. Ambiguous items arrive prioritized by risk, value, and uncertainty with reasoning attached.
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Fraud & Error Signals
Surface changed banking details, duplicate payments, missing deposits, wrong payees, short-pays, and other breaks while recovery may still be possible.
✓
Audit-Ready Trail
Every match and exception carries a traceable evidence chain so close, audit, and investigations start from proof instead of reconstruction.
How Dream Hannah works
Rules for the clear cases. AI for the hard ones. People only where judgment matters.
Dream Hannah combines deterministic matching, AI analysis for the ambiguous tail, and human-in-the-loop learning so the engine improves as your team resolves real exceptions.
1
ConnectBank feeds, system extracts, files, payment records.
2
NormalizeMap formats, counterparties, aliases, references.
3
MatchApply exact and tolerance rules across the book.
4
AnalyzeUse AI for missing or messy context.
5
EscalateRank exceptions that need human decisions.
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ProveProduce matched records, reports, audit trails.
ContinuousReconciliation as data arrives
Rules + AIDeterministic matching first, AI for ambiguity
RankedExceptions surfaced with context and evidence
AuditableTraceable lineage behind each decision
Built for key industries
Where money moves in many directions, Hannah keeps the proof attached.
Insurance
Match premium, commissions, bordereaux, claims, refunds, and bank activity across carriers, MGAs, TPAs, brokers, and programs.
Explore Insurance →Property Management
Reconcile rent, trust accounts, deposits, vendor payments, refunds, and owner distributions across properties and portfolios.
Explore Property Management →SaaS Platforms
Add reconciliation and exception intelligence to embedded payment flows so platform transactions stay connected to the business events behind them.
See the platform model →Insurance
Premium in. Claims out. Every dollar proven.
Dream Hannah ties the money to the policy, claim, broker, bordereau, remittance, payment instruction, and bank activity that explain it.
- Resolve unidentified cash and short-paid premium with evidence-backed attribution.
- Check broker commission against contracted terms on every remittance.
- Catch duplicate, failed, reissued, or wrong-payee claim payments.
- Move audit from sampling toward complete traceable evidence.
Insurance Reconciliation
PremiumClaimsExceptions
| Flow | Expected | Actual | Difference | Status |
|---|---|---|---|---|
| Premium · Policy 20418 | $95,000 | $95,000 | $0 | Matched |
| Broker remittance | $48,500 | $42,500 | $6,000 | Short-pay |
| Claim · CLM-66218 | $12,300 | $24,600 | $12,300 | Duplicate |
| Return premium | $4,200 | $4,200 | $0 | Matched |
Property Management
Rent, trusts, vendors, owners. One reconciled picture.
Dream Hannah checks whether the money that moved agrees with the resident, property, owner, vendor, deposit, and bank records behind it.
- Match rent and deposits to the correct resident, lease, and property.
- Keep operating and security-deposit trust accounts aligned to ledger activity.
- Detect changed vendor banking details and duplicate or misdirected payouts.
- Track owner distributions and refunds with evidence attached.
Property Reconciliation
RentTrustsVendors
| Flow | Amount | Property | AI insight | Status |
|---|---|---|---|---|
| Rent receipt | $2,450 | Oakview · 12B | Lease matched | Matched |
| Security deposit | $2,450 | Oakview · 12B | Trust posted | Balanced |
| Vendor payment | $8,200 | Pinnacle · Miami | Bank details changed | Review |
| Owner distribution | $19,760 | Sunset Villas | Ledger agrees | Matched |
SaaS Platforms
Build reconciliation into the payment experience.
For software platforms that collect or send money, Dream Hannah can sit behind the payment flow as a matching and exception layer—connecting transaction records back to invoices, customer records, platform events, and systems of record.
- Match pay-ins and payouts to platform events and customer records.
- Surface duplicates, missing funds, timing breaks, and anomalies.
- Return matched data and exception states to finance workflows.
Embedded Reconciliation Layer
APIWebhooksMatched
| Platform event | Payment | System record | State |
|---|---|---|---|
| Invoice paid | $4,820 | INV-23881 | Matched |
| Supplier payout | $1,220 | PO-1182 | Matched |
| Refund | $642 | Order 92771 | Needs context |
| Duplicate payout | $8,440 | PAY-8812 | Exception |
Fighting fraud
Catch what doesn’t match.
Fraud can look legitimate at authorization. Reconciliation asks a different question after money moves: did this payment actually agree with the invoice, vendor, lease, policy, claim, beneficiary, bank instruction, and expected cash flow behind it?
Changed bank detailsDuplicate paymentsWrong-account payoutsMissing depositsSuspicious exceptionsExplore Fraud Detection →
“
You cannot stop every attack at the door, but you can take away the time.Brent Ho-Young · CEO & Co-Founder, Dream Payments
Fraud context: the launch materials cite AFP reporting that 76% of organizations experienced attempted or actual payments fraud in 2025, and FBI reporting more than $3 billion in business-email-compromise losses.
Questions finance teams ask
What Dream Hannah is—and what it isn’t.
Is Dream Hannah just an AI chatbot for accounting?
No. Hannah is a reconciliation agent: it ingests financial and operational records, matches expected dollars to actual dollars, ranks exceptions, preserves evidence, and learns from reviewer decisions.
Does AI decide every match?
No. Clean exact and tolerance matches are handled with deterministic rules. AI is used to orchestrate rules and reason through ambiguous cases. Exceptions can route to a human reviewer.
Does Hannah replace existing systems?
No. Hannah is designed to work alongside existing accounting, policy, claims, property-management, and payment systems.
How does the system improve over time?
Reviewer decisions teach the engine how your counterparties, references, aliases, tolerances, and recurring edge cases behave. That institutional knowledge stays in the system and helps reduce repeated manual investigation.
Ready to make the proof move with the money?
Start with a reconciliation assessment to estimate match coverage, identify exception exposure, and see where Dream Hannah can create the fastest impact.