Governance

Can AI make final quality decisions?

By Tristan Kleinberger2 min read

Short answer

AI can do substantial work leading up to a quality decision, but qualified people should keep final judgment, authorization, and regulated accountability. Ovada gathers evidence, follows approved steps, flags missing or conflicting information, and prepares recommendations for human review.

Separate execution from authorization

Most of the work in a quality decision does not require handing final authority to AI:

  • Locating current procedures and specifications
  • Collecting and extracting the required records
  • Comparing evidence with explicit requirements
  • Flagging missing or contradictory information
  • Drafting documentation and a recommendation
  • Routing the work to the designated reviewer

Automating these steps removes repetitive work while the regulated decision stays where it belongs. See how Ovada prepares quality work for human authorization.

What should remain with qualified people

  • Interpreting ambiguous or conflicting requirements
  • Assessing product, patient, or consumer risk
  • Judging incomplete evidence
  • Investigating unexpected conditions
  • Accepting residual risk
  • Authorizing and signing a regulated outcome

No generic confidence score should hide these decisions or imply that model output replaces the designated authority.

Deterministic checks and contextual interpretation

Explicit checks, like comparing a result with a numeric limit or confirming a required field, can use deterministic rules. Contextual work, like deciding whether two records conflict, can use model intelligence, with uncertainty surfaced for review.

Agent · incoming material · lot MG-26-0412

COA-2026-0671
CheckHandled byResultStatus
Required fields presentRuleCompletePass
Assay vs. specificationRule96.1% vs ≥ 98.0%Fail
Impact assessmentAIDrafted · citedReady
Material dispositionHumanSignature requiredAwaiting
Division of work

Rules handled the repeatable checks. AI drafted the interpretation. A qualified person makes the disposition.

What a reviewer needs to see

  1. The source evidence used
  2. The approved requirements applied
  3. The steps completed
  4. Missing or conflicting information
  5. The proposed recommendation
  6. Open matters that need judgment
  7. Who is responsible for authorization

Traceability is worth more than a claim that the AI is “confident.”

Two examples

In incoming material disposition, the agent extracts CoA results, compares them with the active specification, flags missing tests, and prepares a recommendation. The qualified reviewer decides whether the evidence is enough and signs the disposition.

In deviation management, the agent rebuilds the event timeline, gathers related records, and drafts the deviation record, including whether CAPA should be considered. A qualified person decides the conclusion and signs.

Questions

Can an AI agent sign a quality record?

Not in Ovada. The agent prepares and routes the work. Only a qualified person can apply the electronic signature that authorizes a regulated outcome.

What happens when the AI is uncertain?

Uncertainty, missing evidence, and conflicting requirements are escalated to a qualified person with the source evidence attached, instead of being resolved silently.

See Ovada at work

Give qualified people better-prepared work

See how Ovada performs controlled workflow steps, gathers the evidence, and prepares the decision package for human review.