Deployment wizard

Initial Site Configuration

Use this wizard to configure the deployed site template before your users access it.

Authenticated as Setup User
Step 1

Database Connection

Enter the values for the # --- SynapseOps RUNNER Database Connection details --- section. The database password is in the portal under License & Warehouse Settings in the WAREHOUSE SSA PASSWORD field. The SYNAPSE_SQL_SERVER should be the runner endpoint shown on the portal deployment view.

Step 2

Entra ID and Access Groups

Create an Entra app registration for this site, add a web redirect URI for this site URL, create client secret, grant Microsoft Graph delegated permissions for User.Read, GroupMember.Read.All and Directory.Read.All, then copy the IDs here. Enter the access, admin and training groups you want the app to use.

Step 3

Branding, Theme, Industry and AI Policy

Use the rich editor below to format the policy text shown to users.

Artificial Intelligence (AI) Policy

Acme Limited

Information Security

TitleArtificial Intelligence (AI) Policy Document Ref NoIS 014/01 Owner/AuthorGroup Director of Legal & Company Secretary Agreed byYour name Authorised byBoard of Directors Date of IssueXX August 2026 Review DateXX August 2028

Revision History

Version no.Reason for ChangeDate 01Initial Policy createdXX August 2025

Responsible Staff

All Staff

Related Documents

  • IS001 Information Security (HR62)
  • SOP089 Quality Risk Management
  • SOP100 Software Verification and Validation

Contents

  1. Introduction
  2. Purpose
  3. Scope
  4. AI Usage Principles
  5. Acceptable Use
  6. Policy Review and Update Process
  7. Glossary

1. Introduction

This document outlines the company’s policy regarding the adoption, usage and management of Artificial Intelligence (AI) technologies. This policy aims to ensure that AI is implemented responsibly, securely and in alignment with company standards and regulatory requirements.

AI refers to computer systems capable of performing tasks that typically require human intelligence...

2. Purpose

  • Define the approved uses of AI within the company.
  • Ensure the security, privacy and ethical application of AI technologies.
  • Mitigate potential risks associated with AI deployment.
  • Ensure compliance with applicable legal and regulatory frameworks.

3. Scope

This policy applies to:

  • All employees, contractors and third-party vendors using AI tools or systems within the company’s operations.
  • All AI systems, applications, and models developed, procured or used within the company.

4. AI Usage Principles

4.1 Ethical Use

Employees must be aware of potential discrimination and bias...

4.2 Data Privacy and Security

AI systems must comply with the company’s Data Protection Policy...

4.3 Transparency and Explainability

As information produced by AI might not be factually correct...

4.4 Risk Assessment

All AI implementations must undergo a pre-deployment risk assessment...

5. Acceptable Use

5.1 Acceptable Uses of AI

  • Only approved AI platforms can be used.
  • AI must only be used to enhance productivity...

5.2 Prohibited Uses

  • Using AI to automate decisions that negatively impact individuals without human oversight.
  • Deploying AI systems trained on unauthorised or unverified datasets.
  • Using AI for malicious purposes...

5.3 Non-Compliance

Failure to comply with this policy may result in disciplinary action.

6. Policy Review and Update Process

Any incident will trigger a communication to all staff to remind them of the policy...

7. Glossary of Technical AI Terms

TermDefinition Artificial Intelligence (AI)Computer systems capable of performing tasks... Machine LearningA subset of AI that enables systems to learn from data... DatasetA structured collection of data used to train or test AI models... Natural Language Processing (NLP)A field of AI focused on understanding human language... RoboticsThe design and use of robots capable of autonomous tasks... Advanced AnalyticsApplication of techniques powered by AI to extract insights... Pattern RecognitionThe process by which AI identifies and classifies data patterns... Data-Driven Decision MakingBasing decisions on AI-facilitated data analysis...

If you have any questions, please do not hesitate in contacting a member of the ISMT for assistance.

This content will overwrite ai_policy.html when you save branding.
Step 4

AI Foundry Provisioning

Failed

The AI Foundry details are already prefilled in .env during deployment. Use the button below to run aifoundry.bash with the saved values.

Subscription ID71ea78e1-07a4-4201-a99c-9b589c318a1b
Resource Groupai-agents-se
Locationswedencentral
FQDNNot set
AI Foundry setup failed. Review the output below.
Started: 2026-04-19T13:57:23+00:00 · Finished: 2026-04-19T13:57:24+00:00 · Exit code: 1
[2026-04-19 13:57:23] AI Foundry setup queued from setup.php
Step 5

Generate Schemas and Data Source Definitions

This inspects every table, excludes dbo.NLDB_UserQuestionHistory and dbo.NLDB_UserSavedReports, generates per-source schema files, likely joins and dynamic data-source descriptions based on the selected industry.

Step 6

Email Settings

Step 7

Complete Setup

Once the steps above are complete, finish setup and open the main application. Example schema files are removed when schemas are generated.