30-55%
Manual workload reduced
Too late costs more than early adoption
Your private LLM.
Your data.
Your competitive edge.
Azori integrates private AI into company workflows with full control over data, infrastructure, and permissions.
For teams that need secure AI without compromising compliance.
2-6 weeks
Implementation speed
2-5 SaaS tools
Average tool cost replaced
Your server, your control
Ownership model
Quick Showcase
Private AI strategy in under a minute
Why AI deployment still stalls
Private AI on your own infrastructure
Workflow automation and internal use cases
Full privacy and full control
Use Cases
Where private AI creates immediate ROI
Start with one workflow. Prove impact. Scale from there.
Faster internal execution
Operations Co-Pilot
Teams get answers in seconds.
- Private LLM trained on SOPs and docs
- Role-based answers with traceable sources
Lower admin overhead
Finance Automation
Automate invoice and document handling.
- OCR and extraction for incoming invoices
- Route only exceptions to human review
Reliable data capture
Document-to-Database
Validate documents and push data into your systems.
- Detect key fields from PDFs and images
- Validation before database writeback
Productivity for technical teams
Developer AI Workspace
Build internal tools faster with guardrails.
- Generate dashboards and SQL safely
- Human approval before deployment
Insights
Read the thinking behind private AI adoption
Three practical articles on private LLMs, AI copiloting, and how teams are changing the way they work with AI.
Private LLMs · 6 min read
Why Private LLMs Are Becoming the Default for Serious Companies
The market is moving away from generic public AI experiments toward private model deployments that match company data, controls, and workflows.
Read articleAI Copiloting · 5 min read
From Chatbot to Copilot: How Teams Actually Work With AI
The most useful enterprise AI does not act like a generic chat tool. It behaves like a copilot inside the flow of work, with context, boundaries, and clear tasks.
Read articleAI Operations · 6 min read
What Changed in Working With AI and What Companies Should Do Next
The way teams use AI is maturing quickly: from isolated prompting to integrated systems, from experimentation to workflow design, and from generic tools to role-specific support.
Read articleSecurity First
Built for privacy-sensitive companies
Designed around data sovereignty, access control, and transparency.
Typical permission model
| Role | Access Scope | Actions |
|---|---|---|
| Finance | Invoices + tax docs | Classify, reconcile |
| Ops | SOP + logistics data | Answer, automate |
| Leadership | Cross-team analytics | Insights, approvals |
Private deployment
Deploy on your infrastructure or an isolated cloud.
Permission-aware retrieval
Each answer is filtered by team and role.
Traceability
Prompts, sources, and actions are logged.
Data minimization
Retention stays aligned with your requirements.
Implementation
Fast rollout. Clear milestones.
Most projects launch in 2 to 6 weeks.
Phase 1 · Week 1
Discovery + Security Mapping
Define workflows, boundaries, and access rules.
Phase 2 · Week 2-3
Private LLM Setup
Deploy the model stack and connect key systems.
Phase 3 · Week 3-5
Workflow Automation
Build and test the first high-value automations.
Phase 4 · Week 5-6
Launch + Training
Go live with onboarding, monitoring, and optimization.
Service AI Advisor
Ask our scoped AI agent about your integration plan
A scoped advisor for use cases, timeline, deployment, and next steps.
Assistant Guardrails
- 1. Answers only Azori service and implementation questions
- 2. Refuses out-of-scope prompts and redirects to valid topics
- 3. Cannot edit code, execute actions, or modify any systems
FAQ
Common questions from security-focused companies
How safe is a private LLM compared to public AI tools?
A private LLM runs in your environment with strict access rules, so company data stays under your control.
How long does implementation take for a two-person integration team?
Most first deployments take 2 to 6 weeks, depending on system complexity and scope.
What do ongoing service and maintenance usually include?
Monitoring, tuning, security updates, uptime support, and ongoing optimization.
Can you integrate with our existing ERP, CRM, or document systems?
Yes. We connect through APIs and secure connectors so teams keep their existing tools.
Will this replace our employees?
No. The goal is to remove repetitive work so teams can focus on higher-value tasks.
Start Now
Do not wait until competitors have already automated.
Share your workflow and we will map the best first rollout.
What you get after submitting:
- 1. Workflow opportunity map with ROI estimate
- 2. Security and deployment recommendation
- 3. 2-6 week launch plan for your first private AI workflow