Independent outcome verification for business automations

Your automation ran.
Did the correct business outcome actually happen?

OutcomeDelta independently compares expected source records with observed destination records to detect missing, duplicate, mismatched, or delayed outcomes.

Synthetic public demo: The current prototype uses synthetic Meta Lead Ads → n8n → HubSpot records. It does not connect to real production systems.

The problem

A successful execution is not proof of a correct outcome.

Execution success

“The workflow ran successfully.”

A workflow platform can confirm that a run completed without confirming the downstream business record is correct.

Outcome verification

“The correct downstream business state actually exists.”

OutcomeDelta compares what should have arrived with what was actually observed in the destination.

What V0 checks

Four concrete discrepancy classes

Missing

A source record has no matching destination record.

Duplicate

One expected source record produced multiple matching destination records.

Field Mismatch

The matched destination record exists, but asserted values differ.

Delayed

The expected destination record arrived outside the allowed reconciliation window.

How it works

A focused reconciliation flow

  1. Source data
  2. Match
  3. Destination data
  4. Apply assertions
  5. Detect discrepancies
  6. Report evidence

Current demo scenario

Lead Source → CRM reconciliation

Meta Lead Ads n8n HubSpot

The public scenario illustrates an independently verifiable expected outcome—not a real integration.

  • Synthetic source records and destination records
  • A deterministic matching rule
  • Field assertions and a reconciliation window
  • Deterministic evidence for each discrepancy

Who this is for

Built for automation agencies that need to verify outcomes, not just executions.

OutcomeDelta is aimed at n8n-first agencies, automation consultants, and teams managing client production workflows where a completed run can still leave an incorrect downstream business result.

Early validation

OutcomeDelta is an early validation prototype.

We are looking for automation agencies and consultants who have experienced workflows that appeared successful but produced incorrect downstream business results.

Try OutcomeDelta

Data note

The public demo uses synthetic data only. For future private validation tests, do not send production credentials or sensitive customer data. Initial dataset testing should use anonymized or synthetic exports only.