AutoMap
Automatic field-type inference and target-schema resolution. Confidence-scored, taxonomy-validated, and surfaced for steward approval before anything fires.
AI-assisted profiling, deterministic execution, and immutable audit. Suggest, approve, execute — the operating model regulated industries need to trust their data again.
CleanFlowAI is the data-quality and governance platform for teams that cannot afford silent failures. AutoMap reads your schema. Business Rules Suggestion drafts validation. The Quarantine Editor surfaces every failed row for steward review. And every action — from a single rule approval to a cross-system migration — is captured in an immutable audit trail your regulators can read.
The combination of AI-assisted suggestion and deterministic, replayable execution is exactly the operating model that regulated industries need.
Automatic field-type inference and target-schema resolution. Confidence-scored, taxonomy-validated, and surfaced for steward approval before anything fires.
AI drafts validation, transformation, and quality rules from your data — every suggestion explainable, version-controlled, and reviewable.
Failed records aren't silently dropped. They land in a reviewer-friendly editor where stewards can fix, re-run, or escalate — with full lineage.
Every suggestion, approval, and execution is captured in an append-only ledger. Auditors and regulators see the same trail your stewards do.
The operating model behind every action. AI proposes, stewards approve, deterministic engine executes — no opaque automation, no after-the-fact inference.
Eleven-plus metrics per column — null rate, cardinality, distribution skew, parse rate, pattern coverage — captured in a single profiling pass.
Validation rules with deterministic execution and replayable outcomes. Approve once, run consistently across every dataset and every batch.
Transformation logic lives as versioned blueprints. Roll forward, roll back, branch, and compare — your data pipelines treated like code.
Native connectors for SAP, Salesforce, NetSuite, Snowflake, Epicor, MS Dynamics, QuickBooks, Zoho — incremental, stateful, and resilient.
Stream-aware orchestration with retry, checkpoint, and back-pressure handling. Long-running migrations and continuous syncs treated as first-class citizens.
Detect upstream schema changes the moment they appear. Mappings adapt with reviewer approval, never silently — your pipelines never break in the dark.
Row-level, column-level, and dataset-level access control tied to user identity. Approval-based change control across every artifact.
Ship cleaned, validated, governed data directly to your warehouse — Snowflake, BigQuery, Redshift — in formats your downstream tools already trust.
Regulatory data quality, KYC enrichment, and reconciliation pipelines — all with provable determinism and the immutable lineage your auditors and regulators demand.
Clinical, claims, and patient-master records require fixed, deterministic transformations. CleanFlowAI runs them with steward approval and full audit traceability.
Migrations and ongoing sync between SAP, NetSuite, Epicor, MS Dynamics, and warehouse targets. AutoMap accelerates field resolution; blueprints keep it reproducible.
Where every change must be traceable and every rule justifiable, CleanFlowAI’s Suggest → Approve → Execute model becomes the operating standard.
We’ll show you exactly what CleanFlowAI can profile, fix, quarantine, and automate — with your stewards in the loop.
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