Plaid · Task agent
AI Annotator
Plaid's internal labeling agent for its own model training. AI Annotator automates large-scale labeling of anonymized transaction data, with human oversight on the labeled output. Plaid reports greater than 95% human alignment at a lower cost and time than manual labeling.
- Approach type
- Task agent
- Work
- Data
- Human involvement
- Drafts reviewed
- Invocation
- Background
- Deployment stage
- Scaled
- Evidence strength
- Detailed primary
- Entry reviewed
Where people stay involved
- raw transactions → labeled training dataWork product review · Level 3
Level 3 for raw transactions → labeled training data; human attention boundary: work-product-review.
- Observation date
- 2025-06
Implementation details
Anonymized Plaid transaction data
Reported results and limitations
The catalog records what the sources report, with the scope and the denominator of every figure. A qualification below limits the figure it sits under.
Reported metrics
Greater than 95% human alignment at lower cost and time than manual labeling
- Reported by
- Plaid
- Scope
- Transaction labels generated by AI Annotator in early use
- Denominator
- Labels compared with human judgments; sample size unspecified
- Observation date
- 2025-06
Greater than 95% human alignment with labeled data
- Reported by
- Plaid
- Scope
- Transaction labels generated by AI Annotator in early use
- Denominator
- Labels compared with human judgments; sample size unspecified
Lower cost and time than manual labeling
The source does not report the denominator of this figure.
- Reported by
- Plaid
- Scope
- AI transaction annotation cost and time relative to manual labeling
Sources and research details
Citations link to the original publisher. Each source also keeps a preserved copy in the repository, so a changed or removed page stays checkable.
Research details for every claim on this page
- Summary
- Statement type
- Fact
- Provenance
- Reported
- Confidence
- High
- Confidence reason
- A linked first-party source states the claim.
- SupportsAI agents at Plaid (June 2025)
- Headline claim
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Plaid reported the figure in its own blog without independent verification.
- Reported by
- Plaid
- Scope
- Transaction labels generated by AI Annotator in early use
- Denominator
- Labels compared with human judgments; sample size unspecified
- Method
- Not reported
- Observation date
- 2025-06
- SupportsAI agents at Plaid (June 2025)Preserved content.md, lines 16–20
- Knowledge
- Statement type
- Fact
- Provenance
- Reported
- Confidence
- High
- Confidence reason
- A linked first-party source states the claim.
- SupportsAI agents at Plaid (June 2025)
- Key observation
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Plaid reported the figure in its own blog.
- Reported by
- Plaid
- Scope
- Transaction labels generated by AI Annotator in early use
- Denominator
- Labels compared with human judgments; sample size unspecified
- Method
- Not reported
- Observation date
- Not reported
- SupportsAI agents at Plaid (June 2025)Preserved content.md, lines 16–20
- Key observation
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Qualitative company comparison; neither actual costs nor elapsed-time measurements are supplied.
- Reported by
- Plaid
- Scope
- AI transaction annotation cost and time relative to manual labeling
- Denominator
- Not reported
- Method
- Not reported
- Observation date
- Not reported
- SupportsAI agents at Plaid (June 2025)Preserved content.md, lines 20
- Operating model assessment
- Statement type
- Inference
- Provenance
- Catalog judgment
- Confidence
- Medium
- Confidence reason
- The reported greater than 95% human alignment implies that people review the labeled output.
- Observation date
- 2025-06
- SupportsAI agents at Plaid (June 2025)