How it works

The controlled pipeline.

Every piece of data that enters Aveniqra travels through a defined sequence of controlled stages. Nothing reaches a destination without passing each gate.

PIPELINE STAGES

INGEST
PARSE
CANONICALISE
VALIDATE
RECONCILE
ROUTE
DELIVER
AUDIT
01INGEST

Data enters through controlled paths.

Every file or data payload entering Aveniqra is received through a defined ingestion channel. Each input is fingerprinted, logged and assigned a unique pipeline run identifier before any processing begins.

SFTPEmailWebhookAPIConnectors

TECHNICAL DETAIL

Supported ingestion paths: SFTP drop zone, email attachment capture, webhook POST, direct API upload, and native integration connectors. No uncontrolled inputs.

02PARSE

Structured parsers first.

Aveniqra applies deterministic structured parsers to known formats. Extraction assistance is used only where structured parsing is insufficient — and confidence scores are tracked throughout.

PDFXLSXCSVXMLFixed-format

TECHNICAL DETAIL

PDF structured extraction, spreadsheet column mapping, CSV normalisation, XML/JSON schema mapping, fixed-width format parsing. Confidence tracked per field.

03CANONICALISE

One controlled representation.

Parsed data is mapped to a canonical schema — a single, consistent representation of the business entity regardless of source format. Field names, data types, date formats and currency representations are all normalised.

SchemaMappingNormalisation

TECHNICAL DETAIL

Customer-specific field mappings, date format normalisation (ISO 8601), currency standardisation, code translation tables, supplier ID resolution.

04VALIDATE

Required fields and schemas are checked.

Every field is verified against the target schema. Missing required fields, incorrect data types, out-of-range values and unexpected formats are flagged before processing continues.

SchemaType checkRangePattern

TECHNICAL DETAIL

Required field enforcement, type checking, range validation, pattern matching, reference data lookups, schema version compatibility.

05RECONCILE

Numbers must agree before data proceeds.

Financial totals are independently recalculated and compared against source values. Line item subtotals, tax calculations and grand totals must all reconcile within defined tolerances.

FinancialTotalsTolerance

TECHNICAL DETAIL

Subtotal + tax = total verification. Line item sum checking. Currency conversion reconciliation. Tolerance thresholds configurable per customer.

06ROUTE

Validated records reach their destination. Exceptions stop.

Records that pass all checks are routed to the configured destination. Records with unresolved exceptions — unknown SKUs, missing fields, financial mismatches — are held in an exception queue for review rather than proceeding.

RoutingExceptionsQueue

TECHNICAL DETAIL

Destination routing rules, exception queue management, priority routing, conditional delivery logic, multi-destination fan-out.

07DELIVER

Idempotent delivery with confirmation.

Validated data is delivered to the destination system with idempotency protection — the same record cannot be delivered twice for the same pipeline run. Delivery confirmation is captured and recorded.

IdempotentConfirmationRetry

TECHNICAL DETAIL

Idempotency key enforcement, delivery retry logic, destination confirmation capture, delivery receipt recording.

08AUDIT

Every event is recorded.

A complete audit record is created for every pipeline run. Every ingestion event, parsing decision, validation result, exception raised and delivery confirmation is stored with a timestamp and run identifier.

AuditEventsTraceability

TECHNICAL DETAIL

Immutable event log, run-level audit records, exception history, delivery confirmations, operator action log.

Architecture

System boundaries.

architecture.diagram — v1
USER / CUSTOMER SYSTEMsource
INGESTIONcontrolled entry point

AVENIQRA PIPELINE

Parser
Canonical Schema
Rules Engine
Validation
Reconciliation
Exception Router
DESTINATION ADAPTERcontrolled exit point
CUSTOMER SYSTEMdestination
AUDIT TRAILparallel recording
CLERKauthentication boundary
SUPABASEdata infrastructure

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Start with the workbench or speak with us about your specific integration requirements.

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