HJ NEXT
Enterprise AI Agents

Agents thatactually work.

AI agents take on the repetitive work of finding, writing and reviewing documents. Your people only decide and approve.

  • +Cited answers
  • +Human-in-the-loop
  • +Connects to your systems
RAG Knowledge ChatAI AgentsHuman-in-the-loopAudit Trail ReviewERP · MES · LIMS · QMSGPT · Claude · AWS BedrockStatistical AnalyticsWord · PDF · ExcelRAG Knowledge ChatAI AgentsHuman-in-the-loopAudit Trail ReviewERP · MES · LIMS · QMSGPT · Claude · AWS BedrockStatistical AnalyticsWord · PDF · Excel
01 — Platform

One platform.Three ways to work.

▤ p.12
Knowledge Chat01

Knowledge chatbot

Answers from your regulations, manuals and past documents, citing the exact source page.

  • Page-level citations
  • Agent log shows how it searched
  • Role-based document access
AI Agents02

Workflow agents

Breaks one task into steps (search, write, check, export) and only asks people to step in where it matters.

  • Step design per task
  • Human review & approval
  • Word · PDF · Excel output
Analytics · Subscription03

Analytics platform

Connects straight to your systems and turns raw data into analysis and reports, no statistics package required.

  • LIMS · MES · ERP integration
  • Quality prediction
  • Automatic reports
02 — How an agent works

AI drafts.People approve.

An example qualification-document agent. Of its 12 steps, AI handles 6, a person approves twice, and the rest is input and deterministic code. When a reviewer rejects a step, only that step is re-run, so you don't pay for AI twice.

6
AI steps
2
Human approvals
1
Finished document
PersonCodeAIApproval
IQ document · Tablet press
0%
  1. 01Enter equipment & grade
  2. 02Validate input
  3. 03Confirm input
  4. 04Search regulations
  5. 05Search similar documents
  6. 06Build outline
  7. 07Fill structured fields
  8. 08Draft narrative sections
  9. 09Cite regulations
  10. 10Check gaps & conflicts
  11. 11Final review & approval
  12. 12Export (Word · PDF)
03 — Use cases

We started with the hardestdocuments: GMP.

Built first for pharma and bio GMP work, where every answer needs evidence and every change needs a record. The same structure carries over to document and review work in other industries.

Q&A01

Regulatory Q&A

Answers grounded in GMP regulations, cited down to the page.

How often must validation be repeated?
Periodic revalidation is set by risk assessment; after a change, assess impact and re-run as needed.EU GMP Annex 15
Generate02

Qualification documents

Enter equipment details and get DQ · IQ · OQ · PQ documents in Word. AI writes the narrative; rules fill the structured fields.

DQ
.docx
IQ
.docx
OQ
.docx
PQ
.docx
Review03

Audit trail review

Rules screen CDS · LIMS · MES audit trails broadly, and AI explains only the suspicious entries. Part 11 · Annex 11 gap analysis included.

09:14Result reprocessed✓
09:31Method edited✓
10:02Result deletion attemptSuspicious
10:15Login✓
Calculate04

Instant quotes

Enter items and quantities; prices are calculated from your rate card and exported to Excel.

IQ protocol× 2
OQ protocol× 2
PQ report× 1
Auto-calculated.xlsx ↓
04 — Analytics, as a service
Subscription

Statistics,by subscription.

Connect LIMS, MES or ERP and your data flows straight into analysis. No statistics package to learn.

Assay · Control chart
LIMS
MES
ERP
QMS
01

System interfaces

Pulls data from your systems automatically.

02

Easy statistics

Control charts, capability and regression in a few clicks.

03

Quality prediction

Machine learning flags anomalies before they become deviations.

04

Automatic reports

Turns results into a report, ready to share.

05 — Enterprise-ready

Security and control,built in.

01

Never used for training

Your data is not used to train AI models.

02

Your own server

Original documents stay on your dedicated server; only the excerpts needed for an answer are sent to the model.

03

Roles & accounts

Role-based permissions and unlimited user accounts.

04

Usage limits

See usage per account, set limits, and suspend automatically when exceeded.

05

Audit log

Every question, generated document and approval is recorded.

06

Prompt versioning

Edit AI rules in the admin screen and roll back any time.

07

Model choice

GPT, Claude or AWS Bedrock, with a different model per feature if you like.

08

Backup & failover

Daily backups, plus automatic failover on Premium.

06 — Plans

Start small.Scale when ready.

Lite

Teams starting with a chatbot

  • Document-grounded chatbot (RAG)
  • 1 AI agent
  • 10 GB initial documents
  • Local cloud · you operate
Request a quote
Recommended

Standard

Teams ready to automate work

  • Document-grounded chatbot (RAG)
  • 3 AI agents
  • 30 GB initial documents
  • Local cloud · you operate
Request a quote

Premium

Teams that want us to run it

  • Everything in Standard
  • Built on AWS Bedrock
  • Failover · auto-recovery · security monitoring
  • We operate the infrastructure
Request a quote

Every plan — unlimited accounts · admin & roles · usage limits · human review · daily backups

The analytics platform is offered as a separate subscription. Scope and pricing are confirmed after a requirements discussion.

01

Discovery

We map the tasks and documents to automate.

02

Agent design

We design the steps and where people review.

03

Build & review

Two review rounds before acceptance.

04

Run & maintain

Fixes, security patches and model upgrades.

07 — Contact

Put an agentto work.

Tell us which work you'd like to automate, and we'll get back to you.

Interested in