Private enterprise AI assistants
Secure internal chat, departmental copilots, role-based access and multi-model access through private interfaces.
EXZAI Solutions
Enterprise AI built around your business.
Deploy private assistants, searchable organizational knowledge and controlled AI workflows integrated with the systems your teams already use.
Most AI pilots stall because they are disconnected from company knowledge, access rules and the applications people actually use. EXZAI Solutions connects AI to your documents and systems under defined controls.
What we deliver
Knowledge AI / RAG
Search and answers over policies, contracts, manuals and technical documentation, with citations and access controls.
AI agents and workflow automation
Approved tool use, ticket classification, document triage, approvals and notifications, with human checkpoints for sensitive actions.
Custom AI applications
Dashboards, portals, chat interfaces, APIs, vertical assistants and internal operational tools.
ERP, CRM and business systems integration
Integrate AI with authorised workflows in systems such as Microsoft 365, Google Workspace, Odoo, SAP, help desks, CRM and internal databases.
Document intelligence
OCR-assisted extraction, classification, structured data extraction, summarization, translation and quality assurance.
Multilingual AI
French and English, with other languages assessed per project against each model's actual accuracy.
Model evaluation and customization
Benchmark your workloads, select models and apply prompting, retrieval tuning or fine-tuning where justified.
Responsible AI implementation
Risk review, data controls, approval workflows, evaluation and user training.
AI audit and roadmap
Assess use cases, data readiness, estimated cost, infrastructure and pilot feasibility.
Your data. Your deployment choices.
Run AI on your own servers, in a dedicated environment or in a carefully designed hybrid architecture. EXZAI helps you choose the right combination of model performance, governance, cost and operational control.
On-premises
AI on your own infrastructure
For sensitive workloads, internal network access and customer-owned hardware. Security and data residency depend on configuration and controls.
Private cloud
A dedicated, managed environment
Managed isolated infrastructure with less hardware for your team to operate. Hosting location and contractual terms are specified for each engagement.
Hybrid
Private data, selective external compute
Keep private data operations in your environment and use external compute or APIs where appropriate. Requires a data-flow map and review of cross-border considerations.
Edge & desktop
Local AI for teams and edge sites
For developer teams, local prototyping and disconnected or edge needs. Capacity depends on the chosen machine and model.
From first assessment to daily operations.
We prioritize measurable use cases, a clear technical architecture, responsible deployment and long-term maintainability.
- 01
Discover
Business outcomes, data landscape, constraints and target users.
- 02
Design
Architecture, model selection, security approach, total cost and pilot metrics.
- 03
Pilot
A narrow proof of value measured against agreed evaluation criteria.
- 04
Deploy
Production infrastructure, integrations, access, tests and documentation.
- 05
Operate
Monitoring, updates, support and optimization.
- 06
Enable
Administrator training, user adoption and ongoing improvement.
Ready to make AI work for your organization?
Tell us what you want to build. We will help define a practical technical and commercial path.