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Autonomous Data Operations

Validation that fixes what it is allowed to fix

Agents evaluate rules, correct issues within the authority you grant, recheck the result and escalate everything else with evidence.

Walk through it All capabilities

The capability

From error lists to resolved exceptions

Validation rules are good at finding problems and bad at fixing them. Most organizations end up with long error reports that stewards work through by hand, while the same low-risk issues recur every week.

Autonomous validation adds correction plans and authority. Each issue is classified by risk and whether a trusted fix exists. Depending on the authority level you grant, agents fix low-risk issues and recheck them, propose high-risk corrections for approval, and escalate issues without a trustworthy fix.

Rules themselves are defined in Validation & Completeness. This capability governs who, or what, resolves the failures, and records the evidence for each resolution.

Problems it solves

Where this work usually breaks down

  1. 01

    Error reports nobody clears

    Validation produces lists faster than people can resolve them.

  2. 02

    Recurring trivial fixes

    Stewards fix the same unit and formatting issues repeatedly.

  3. 03

    Risky automatic fixes

    Scripts change regulated values without review.

  4. 04

    Fixes without rechecks

    Corrections introduce new failures.

How it works

Change the authority granted to validation agents

Switch authority levels to see which issues are fixed automatically, proposed for approval, escalated or only reported.

Operating authority
  • BR-2201Unit 'mm.' not in unit listRisk: lowNormalize to mmauto-fix
  • BR-2202Title exceeds 120 charactersRisk: lowRegenerate from templateauto-fix
  • BR-2207Load rating differs from datasheetRisk: highUse datasheet value 4,200 lbpropose
  • BR-2210Hazard class missing for lubricantRisk: highNo trusted sourceescalate
  • BR-2214Duplicate GTIN with BR-2201Risk: highRequires supplier confirmationescalate

2 fixed and rechecked automatically · 1 proposed for approval · 2 escalated

Functional capabilities

What Autonomous Data Validation includes

Rule evaluation
Run validation continuously on new and changed records.
Correction plans
Identify a trusted fix and its source for each issue.
Operating authority
Set what agents may fix, propose or only report.
Rechecks
Re-validate after every correction.
Exception-based review
Send only proposals and escalations to people.
Evidence
Record issue, fix, source and approver.

Autonomous operations

How autonomous execution changes autonomous data validation

Authority levels let you expand autonomous remediation gradually as confidence grows.

Agents carry out

  • Evaluate rules
  • Fix within authority
  • Recheck corrections
  • Escalate with evidence

People decide

  • Grant authority
  • Approve proposals
  • Resolve escalations

Evidence recorded

  • Issue and fix
  • Source for each correction
  • Recheck result

In industrial operations

A bearing distributor clears a persistent validation backlog

Thousands of validation failures were open, most of them low-risk unit and format issues.

  1. Authority is set to fix low-risk issues.
  2. Unit and title issues are fixed and rechecked.
  3. Load-rating differences are proposed with datasheet evidence.
  4. Hazard and identifier issues are escalated.

Result: Stewards review the issues that need judgement while routine fixes are handled and evidenced.

Related capabilities

Works alongside

Feature guide

Validation & Completeness

Category-specific rules, severities and completeness scores with clear explanations.

Feature guide

Data Stewardship

Owned work queues, service levels and evidence-backed exception resolution.

Feature guide

Autonomous Missions

Governed autonomous work with scope, change budgets, checkpoints and stop conditions.

Feature guide

Data Quality Management

Quality dimensions, rules, trends and owned remediation across domains.

Capability area

Autonomous Data Operations

See where Autonomous Data Validation fits in the wider Autonomous Data Operations capability.

Buyer FAQs

Questions evaluators ask

How is this different from Validation & Completeness?

That capability defines rules and scores. Autonomous validation resolves failures within granted authority.

Can we start with observation only?

Yes. Authority can start at observe and expand by rule or category.

What counts as low risk?

Risk is configured per rule and attribute, for example formatting versus regulated values.

Are automatic fixes reversible?

Yes. Each fix records the previous value.

What if a fix fails recheck?

It is reverted or escalated, depending on policy.

Your next step

See Autonomous Data Validation on data like yours.

Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.

Book a Demo