---
title: "Pharma AI & document assistants"
description: "Knowledge and document assistants for SOPs and technical records, scoped around source citations, access controls and human review."
canonical: "https://juhenza.com/solutions/pharma-ai-automation"
last-updated: 2026-10-15
---

# Pharma AI & document assistants

> Knowledge and document assistants for SOPs and technical records, scoped around source citations, access controls and human review.

## Ask your documents. Inspect the source.

Find useful answers in approved SOPs, quality documents and technical records. Scope a knowledge assistant around citations, document versions, access boundaries and the decisions that need a person.

## Fit

For quality and IT teams evaluating document search, knowledge retrieval and assisted document processing.

## Scope

- **Approved knowledge sources:** Define document owners, revisions and ingestion rules. Superseded content must not silently become the current answer.
- **Source-backed responses:** Make citations and relevant passages inspectable, with an explicit unsupported-answer state when the evidence is insufficient.
- **Access-aware retrieval:** Design retrieval around authenticated roles and source permissions. Public demos illustrate this behavior; they are not production access controls.
- **Evaluation and oversight:** Test representative questions, incorrect retrieval and missing evidence before connecting an assistant to consequential workflows.

## Process

1. **Define the corpus:** Identify owners, data policies, permissions and the questions worth answering.
2. **Test the boundaries:** Evaluate retrieval and refusals with representative source material and role combinations.
3. **Integrate with oversight:** Agree on monitoring, access enforcement and human review before deployment.

## Examples

### SOP knowledge search

- Challenge: A team needs to locate the right procedure and revision quickly.
- Approach: Retrieve passages from approved documents and show their source and version beside each answer.
- Deliverable: A knowledge-search pilot and an evaluation set of supported and unsupported questions.

### Document extraction

- Challenge: Fields from incoming technical documents are manually copied into an internal system.
- Approach: Extract candidate fields, validate them against agreed rules and require review for uncertain values.
- Deliverable: A document-processing queue with references to the original evidence.

## FAQ

### Can the assistant answer without a supporting source?

A controlled workflow should make insufficient evidence explicit, rather than inventing an answer. Evaluation must include those cases.

### Can we use confidential SOPs in the public demo?

No. The demo contains synthetic SOPs and has no document upload. Private deployment and data handling are separate project decisions.

### Will every employee see every document?

The intended design must enforce the source permission model during retrieval and delivery. The demo only simulates roles for illustration.

## Reference architecture
A reference SOP assistant flow that separates document access, answer drafting and reviewer judgment.
### Approved library
Controlled revisions → Role-aware retrieval
Search the approved document set within the requesting user’s permissions.
Review: Check superseded versions, access restrictions and how document changes reach the search index.
### Evidence & draft
Relevant passages → Cited response
Use retrieved passages to produce a draft answer with identifiable supporting sources.
Review: Test unsupported questions, contradictory passages and instructions embedded in source documents.
### Human review
Inspect source → Approve next action
Let the user inspect evidence and decide the appropriate operational next step.
Review: Agree when the assistant must decline and which actions always require human approval.
Illustrative planning model; scope and deliverables are agreed per project.
## Technology choices
Document assistants need controlled sources and evaluation
### Library
Document ingestion · Revision metadata
Choose supported formats and update rules around the approved document collection.
### Retrieval
Source citations · Role-aware search
Scope search and answer evidence to the user’s authorized documents and the agreed revision rules.
### Review
Evaluation cases · Human oversight
Choose model and deployment options after evaluating source-grounded answers and privacy requirements.
## Quality checks before handover
### Correct sources
Check that answers cite the relevant approved passage and do not silently rely on obsolete revisions.
### Permission boundaries
Test restricted roles, unsupported questions and missing evidence before releasing access to users.
### Measured limitations
Document evaluation results and escalation rules; the public synthetic demo is not a validated operational assistant.
## Preparing for a project

Describe source formats, document ownership, permissions and representative questions. Do not paste confidential SOPs into the public brief.

Start a project: https://juhenza.com/contact