Concept guide, Platform
What is an AI-powered LIMS?
- Author
- PureField
- Published
- Updated
An AI-powered LIMS is a laboratory information management system with an AI assistant that reads the sample, result, equipment and quality records it holds. The assistant answers the quality manager's questions from those records, drafts the management review agenda, runs an ISO/IEC 17025 audit rehearsal and pre-checks results before approval. Authorised staff still approve results and sign reports.
What is a LIMS, and what does AI add?
A LIMS is the software that records every step from sample receipt to a signed report. A sample is received and labelled, the analysis is assigned to an analyst, the result arrives from the instrument or is typed in, a second authorised person reviews it, someone authorised for the method approves it, and the report is issued. Calibration, internal quality control, CAPA, documents and staff competence live in the same system.
AI works on top of those records. Before a management review, an internal audit or an assessment, a quality manager usually collects information from folders and spreadsheets; the assistant collects it from the records and puts a draft in front of them. Authorised staff still create, approve and sign records on the LIMS screens.
Which tasks does AI take on in a laboratory?
AI takes on the preparation work that the quality manager and the approver do by reading through records. The table shows what the AI assistant in PureField LIMS does and who makes the decision.
| Task | What the AI assistant does | Who decides |
|---|---|---|
| Management review | Drafts an agenda from the last 12 months of records against ISO/IEC 17025 §8.9.2 a–o and suggests §8.9.3 outputs | Laboratory manager; the review is recorded on the management review screen |
| Audit rehearsal | Runs 20 checks, lists findings with clause, grade and links to the records, and builds a 30-day preparation plan | Quality manager; findings are fixed on the relevant screen |
| Pre-approval check | Compares a result with its history, the instrument's calibration status, the reagent lot and internal QC | The approver, with an e-signature |
| Report pre-check | Summarises the findings the software calculates: accreditation scope, mandatory content, uncertainty, conformity statement | The person who issues the report |
| Document questions | Reads the current procedure or standard and quotes it with code, revision and page | For information |
| Draft proposals | Proposes a sampling plan, a CAPA with root-cause hypotheses, or a sample reception draft as a card | A record is created when the person presses the card's button |
How does the quality manager's week change?
The biggest change is where preparation starts. If the management review is next week, the quality manager would normally open internal audit reports, the CAPA list, complaints, proficiency testing results and the calibration schedule one by one and pull them into a document.
With an AI-powered LIMS, they ask the assistant: "We have the management review next week. Can you draft the agenda item by item?" The assistant builds the agenda along §8.9.2: status of quality objectives, actions from earlier reviews, internal audit findings, open CAPAs, instruments past their calibration date, internal QC violations. The quality manager checks the draft, copies it into the minutes or downloads it as Markdown, and records decisions on the management review screen.
The approval desk works the same way. The approver opens the AI pre-check on the sample page. For a water sample, the assistant checks the ion balance, whether a value falls outside its seasonal range, and whether an instrument past calibration or an expired lot was used, and shows the basis for each finding. The approver weighs the findings and decides with an e-signature.
How is it different from a conventional LIMS?
The difference is who gathers the information. A conventional LIMS holds the records, and the quality manager derives the agenda, the audit checklist and the pre-approval review from them by hand. In an AI-powered LIMS that preparation arrives as a draft; a person checks it and decides.
The foundation is the same in both: sample receipt, the four-eyes principle, an e-signature bound to the record, and an audit trail that logs every change with its reason. The more consistently the records are kept, the more detailed the assistant's answers become.
Where does the AI process data?
In PureField LIMS the AI assistant runs in the cloud edition and is an add-on module that PureField enables for your laboratory. The cloud edition is hosted in Google Cloud's Netherlands region (europe-west4).
A laboratory can connect its own Anthropic, OpenAI, Google Gemini, Azure OpenAI or OpenAI-compatible key; the key is stored encrypted with AES-256-GCM. The self-hosted edition runs on Linux (Docker) or Windows Server without an internet connection.
How does it work in PureField LIMS?
PureField LIMS keeps sample, result, report and quality records in one system for testing, calibration and medical laboratories, and works in line with ISO/IEC 17025 and ISO 15189. You open the AI assistant from the button at the bottom right of every page, or from the full-page assistant that opens after sign-in.
You can also call it from inside the screens: AI pre-check on the sample page, AI audit rehearsal on the 17025 compliance map, Summarise with AI on a draft report. Result trends, control charts and the laboratory 360° view arrive as charts, drawn from the data in the records the assistant read.
To see a demo built on records close to your sample types, request a PureField LIMS account.