Agent 34 · Data Automation
DataEnrich Agent
Resolves company names and country codes.
ServiceInsightLangGraph
Found48
Fixed + verified48
Held for approval0
Recalln/a
One offline run on demo data with planted problems (recorded platform test, November 2026).
How DataEnrich heals data, step by step
INData inSynthetic companies.
01Detect48 problems found
02Diagnose2 problem types named
03Plan48 safe to fix · 0 need a person
04Fix + verify48 fixed and re-checked
05ReportPlain-English report and Control Tower record
- Client problem
- Messy company names and countries break joins and reports.
- What it does
- Matches names to a reference list; checks ISO codes.
- How it heals
- Resolves entities and normalises countries.
- Human gate
- Low-confidence matches logged.
- Typical buyer
- Data and sales-ops teams
- Built with
- LangGraph self-healing loop
- Demo data
- Synthetic companies.
- Tables
- companies ← synthetic
- Target outcome
- Target: >90% entities resolved.
- Path to production
- Service.
Issues detected on the demo data
| Issue | Risk | Proposed fix | Count |
|---|---|---|---|
| unresolved_entity 2 records named 'ASIAN PAINTS LTD' not linked to master | low | Fuzzy-match to company master | 46 |
| non_iso_country 130 records use 'IND' | low | Standardise to ISO-3166 'IN' | 2 |
How we demo it
- Run DataEnrich.
- Show before/after names.
Built on AWS
Runs in the platform container on EC2 Graviton (or on demand in Lambda), writes healed tables to the S3 lakehouse, uses Amazon Bedrock only to write explanations, and reports six metrics to CloudWatch.
Step into DigiQuench.
Agents that heal your data.
Watch an agent find planted problems, fix the safe ones and wait for your approval on the rest. Thirty minutes, live.