Build and Run an Intelligent Document Processing (IDP) System in the Cloud
The system was designed to allow Freedom of Information-type requests from Irish citizens wanting to know whether their details (name, address, etc.) were recorded in a large insurance claims database maintained by my employer. At a high-level, the workflow schedule was this, Client solicitors sent an email to a specific Outlook address requesting a search of the client’s details in the database. For the search, we needed the first and last name of the client, together with their date of birth and current address A search could only proceed if there were corroborating documents attached to the email to “prove” who the client was.
- ▪The system was designed to allow Freedom of Information-type requests from Irish citizens wanting to know whether their details (name, address, etc.) were recorded in a large insurance claims database maintained by my employer.
- ▪At a high-level, the workflow schedule was this, Client solicitors sent an email to a specific Outlook address requesting a search of the client’s details in the database.
- ▪For the search, we needed the first and last name of the client, together with their date of birth and current address A search could only proceed if there were corroborating documents attached to the email to “prove” who the client was.
Towards Data Science files mainly under ai. We currently carry 104 of its stories.
Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/build-and-run-an-intelligent-document-processing-idp-system-in-the-cloud/ |
| Publication time | Fri, 24 Jul 2026 15:00:00 +0000 |
| Retrieval time | 2026-07-24T15:09:11.758Z |
| Last seen | 2026-07-24T15:09:11.758Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Mpj4LVSinaCE |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Programming Build and Run an Intelligent Document Processing (IDP) System in the Cloud Automating the classification and extraction of PII from emails using AWS Thomas Reid Jul 24, 2026 14 min read Share Image by AI In my last job, I built a fully automated intelligent document processing (IDP) system that ran in the cloud on Amazon Web Services. The system was designed to allow Freedom of Information-type requests from Irish citizens wanting to know whether their details (name, address, etc.) were recorded in a large insurance claims database maintained by my employer. At a high-level, the workflow schedule was this, Client solicitors sent an email to a specific Outlook address requesting a search of the client’s details in the database.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.