AI architecture and integration · Quebec

Integrate AI into your organization without losing control of your data.

NB-TECH SOLUTIONS designs, integrates and governs AI for Quebec organizations. Every capability we offer was first built and documented in our own labs.

Reference architecture: governed AI within your perimeter Staff and applications go through an AI gateway that controls access, chooses the model and records every exchange in an audit log. The local model, your data and the governance register stay within your perimeter. An external model is used only if authorized, with filtered data. YOUR PERIMETER Staff, applicationsemail, CRM, ERP Local modelhosted on your premises AI gatewayaccess and routingaudit log Your datadocuments, RAG index Governanceregister, PIA External modelonly if authorized, filtered data
Reference architecture: every request goes through a gateway you control.

Before and after

Connect your systems through AI you govern

An organization's data and tools are often scattered, and AI gets added on top with no framework. A governed AI layer connects them within your perimeter, with controlled access and a record of every exchange.

Before: scattered data and tools Email, ERP, CRM, Excel files and SharePoint each work on their own. Data is copied by hand from one tool to another and into consumer AI tools, with no common rule and no record of what was sent. BEFORE Email ERP CRM Excel files SharePoint Consumer AIpersonal accounts copy and paste no common rule, no record
Before: each tool keeps its own data, and AI is used with no framework.
After: a governed AI layer under your control The same systems are connected to a governed AI layer installed within your perimeter: it controls access, chooses the model, records every exchange and keeps the register. Staff and applications go through this layer. AFTER · YOUR PERIMETER Email ERP CRM Files SharePoint Governed AI layeraccess, model choice, log, register Staff and applications
After: the same systems, connected by an AI layer you control.

Services

Four service families

For executives and IT leaders who want concrete results, systems they control and documented decisions.

01

Strategy and governance

Know where AI will be useful to you, in what order, and under which rules.

  • Maturity assessment and AI roadmap
  • AI governance and Quebec's Law 25 compliance
See details: Strategy and governance

02

Architecture and integration

Design AI solutions that fit into your actual systems, then run them.

  • Generative AI solution architecture
  • AI integration with existing systems
  • Production deployment and LLMOps
See details: Architecture and integration

03

Sovereign AI and security

Keep your data on your premises and verify that your AI systems withstand known attacks.

  • Private AI hosted on your premises
  • AI system security
See details: Sovereign AI and security

04

Automation and advisory

Remove repetitive tasks, and have an AI architect at your side while your team builds its skills.

  • Intelligent process automation
  • AI architect advisory
See details: Automation and advisory

Proof

What we sell, we built first

Eight documented labs

Sovereign RAG, AI gateway, agents, LLMOps, security, Law 25 register: every service rests on a lab we built and documented in-house.

See the labs

Real projects

An AI assistant in a training platform, appointment reminders connected to a practice's software, a private AI platform, a security framework.

See the projects

Everything is delivered in writing

Architecture, register, decisions, procedures. The deliverables are yours and remain useful even if you change providers.

See our approach

Law 25

AI is not exempt from Law 25

As soon as an AI system processes personal information, Law 25 obligations apply: privacy impact assessments (PIAs), transparency about automated decisions, and safeguards for communications outside Quebec.

We build these requirements in from the design stage, rather than adding them after the fact.

  • Register of AI systems and their data
  • PIAs for projects that require them
  • Human review of automated decisions
  • Audit log of exchanges with models

Tell us about your situation

Every organization has its own systems, data and constraints. We always start by understanding your situation. Scope and investment are then proposed in writing.