Deterministic Financial Intelligence and Exception Investigation
Investigate reconciliation breaks, trace payment discrepancies, and query complex multi-rail ledger states using natural language backed by deterministic proof.
Root cause identified: 3 SEPA Instant transactions settled on Saturday with interchange deductions from the acquiring bank (Ref: BAI2-88219).
Alfred Core Capabilities
Built to handle the complexity of modern fintech operations at scale.
Natural Language Querying
Finance and operations teams can instantly ask detailed questions across millions of transactions without complex database queries.
Request AccessAutomated Break Root-Cause Analysis
Alfred analyzes timing variances, processor fee deductions, currency conversion spreads, and gateway metadata to explain breaks.
Request AccessZero Hallucination Proof Citations
Every explanation emitted by Alfred references immutable proof objects, exact BAI2 bank record numbers, and raw gateway transaction identifiers.
Request AccessDeterministic Proof Indexes
Alfred queries strictly against deterministic reconciliation indexes and verified proof packs, never guessing balances.
Request AccessDeterministic Intelligence vs Legacy Rules Engines
Generic AI tools hallucinate numbers, while legacy rules engines break under high volume. Alfred queries verified deterministic proof records.
| Legacy Rules Engines | Alfred Proof Intelligence | |
|---|---|---|
| Matching logic | Static rules requiring manual configuration | Deterministic matching indexes backed by Proof Engine |
| Exception investigation | Every exception requires manual spreadsheet review | Automated root-cause analysis with raw feed citations |
| Data format handling | Fails on format variations or timing differences | Normalizes heterogeneous feeds into standardized schemas |
| Audit traceability | Fragmented notes and manual email logs | Cryptographic proof packs and line-item citations |
| Scale | Requires proportional operations headcount | Sub-200ms querying across millions of transactions |
How Alfred Handles Exceptions
Reconciliation intelligence is about deterministic resolution. Your operations team reviews only what genuinely requires human confirmation.
Mismatch detected
A transaction arrives with a discrepancy: amount, account identifier, or timestamp does not match the expected record.
Alfred checks context
Alfred queries historical settlement patterns, related transactions, and source metadata to isolate the root cause.
Deterministic verification
When deterministic proof rules confirm the match, the exception is resolved, logged with complete audit citations, and documented.
Ambiguous case surfaced with context
For complex multi-rail breaks, Alfred surfaces the exception with direct line-item citations to raw bank and gateway feeds.
See Alfred in Action
I found 12 failed transactions totaling $18,450. The primary cause was "Insufficient Funds".
Breakdown by Error
Action Items
Programmatic Access to Intelligence
Embed Alfred's capabilities directly into your internal tools, Slack bots, or customer-facing dashboards.
Natural Language to SQL
Send raw text queries, get structured data back. No parsing required.
Role-Based Scope
API keys can be scoped to specific ledgers or data sensitivity levels.
Async Webhooks
Trigger complex analysis jobs and receive results via webhook.
curl -X POST https://api.naya.finance/v1/alfred/query \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"query": "What is the total volume of international transactions in Q3?",
"filters": '{
"currency": ["USD", "EUR"],
"status": "settled"
},
"output_format": "json"
}'
# Response
{
"data": '{
"total_volume": 452900.50,
"currency": "USD",
"transaction_count": 1240
},
"confidence": 0.99
}
Interactive Alfred Demo
Test natural language queries and automated exception root-cause analysis.