Find
Compare what AI produced with the state and rules you trust. See what differs, and why.
Audital 4.0 · Find → Fix → Prove
Your AI should save you work, not create another job checking everything it does. Find mistakes, handle safe corrections and see what was actually verified.
Your AI stack. Your rules. Your choice. Audital is designed to work alongside the tools you choose, with each connected capability released only after validation.
One task. Three clear outcomes.
Choose a synthetic workflow scenario
Illustrative sample; not an executed 100-record verification
01 · FIND
3 items need attention
02 · FIX
2 could be normalised; 1 held
03 · PROVE
Local rules could confirm 2; 1 needs a trusted ID
Record 018 · date format
Unambiguous formatting correction illustrated
Record 042 · required ID
Held: a trusted customer ID cannot be inferred
Remaining records
Illustrative rule checks only
Scenario switching changes illustrative text only. It does not run these workflows. The separate CSV demo performs real browser-local checks. No provider is connected.
A real result, no setup
This is the working browser-only CSV comparison, correction and local proof demo. Start with the sample or bring two CSV files. Nothing is sent to a connected provider.
Unlike the workflow illustrations above, this demo actually computes its results. It does not prove a remote execution or authorise production writes.
Audital Instant
BROWSER-ONLY SANDBOX / SYNTHETIC BY DEFAULT
trusted_customers.csv
50 records
ai_output.csv
3 hidden changes
50
Rows checked
3
Drifts found
Passed
Local proof
Three illustrative changes, or your first three findings
No upload or connected-system writes. Only a corrected local CSV is produced. Changes outside exact key and schema matches need review. Files remain in this browser tab.
One understandable lifecycle
Not just another filter that tells you something is wrong. The goal is to resolve supported problems and establish what happened, without hiding uncertainty.
Compare what AI produced with the state and rules you trust. See what differs, and why.
Correct only what is supported and authorised. Hold uncertain changes for review.
Check the resulting output and see the evidence for what passed, failed or remains unknown.
What is live today? A local comparison, bounded correction and output-checking demonstration. Connected action control, provider read-back and automatic remediation require separate capability-specific certification.
The possibility wall
The context changes. The requirement to prove an authorised outcome does not. Explore five independent, reproducible examples.
A shared educational contract drives three separate synthetic actions: JSON repair, deployment rollback and fake-token revocation.
Inspect the synthetic sourceReproducible local evidence. No production writes or customer systems are involved.
Your AI stack. Your rules. Your choice.
Customer records, automations, commerce, software and use cases not yet imagined. One common lifecycle, with honest capability boundaries for each integration.
Observe: check supported data and report discrepancies.
Control: hold or approve actions only where the connection can enforce it.
Correct: apply bounded fixes only where authorised and certified.
Prove: show evidence and mark unresolved outcomes as uncertain.
These are the platform design principles, not a claim that every connected capability is available in production.
Start with something useful
Try the browser-only example. No installation, no payment and no live account connection.