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AZINTECO — Secure AI & Digital Operations
Secure AI & Digital Operations Integrator

Secure AI & Digital Operations for Enterprise Workflows

AZINTECO helps Azerbaijani enterprises adopt AI and automation securely — integrating trusted infrastructure, governance and operational controls into measurable workflow outcomes.

How we engage

  • Baku-based enterprise delivery

    Senior-led delivery from Baku, aligned to local procurement and enterprise expectations.

  • Secure-by-design methodology

    Security and risk are considered from the first workshop, not added at the end.

  • AI governance and data handling

    Clear controls for data, access, model use and human oversight.

  • Documentation for handover

    Every engagement ends with documentation your teams can own and operate.

What we do

Four practices, one operating model

We help enterprises discover high-value automation, secure it by design, integrate it with systems you already trust, and operate it with human oversight.

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01

AI & Workflow Automation

Help with
Document-heavy processes, procurement and tender preparation, internal knowledge assistants, and reporting and back-office workflows.
Typical integrations
Microsoft 365, enterprise APIs and ERPs, document and OCR pipelines, approved LLM platforms.
Security note
Sensitive-data, prompt-injection and output-handling risks are reviewed before anything reaches production.
Deliverables
Process maps, workflow blueprints, and a controlled pilot automation with human approval steps.
02

Secure Digital Infrastructure & Integration

Help with
Cloud and hybrid setup, identity and access, endpoint and backup, monitoring, and system-to-system integration.
Typical integrations
Microsoft Azure and Microsoft 365, identity providers, backup and monitoring tooling, REST and data integrations.
Security note
Least-privilege access and network segmentation are part of the design, not bolted on afterwards.
Deliverables
Integration designs, configuration documentation, and topology diagrams.
03

Cyber Resilience & Secure AI Governance

Help with
Security assessments, application and AI risk reviews, data-protection posture, and secure-AI policy.
Typical integrations
Logging and monitoring, identity and access management, and vulnerability-management partners.
Security note
Engagements use the OWASP LLM Top 10 and NIST AI RMF as a shared vocabulary for risk.
Deliverables
Risk findings, prioritised remediation, governance policies, and an AI-use policy draft.
04

Smart Security & Integrated Monitoring

Help with
CCTV, access control, alarm and intercom integration, and unified operations visibility.
Typical integrations
Access-control systems, video and sensor feeds, and incident and alerting workflows.
Security note
Physical and digital signals can be connected into a clearer operational view.
Deliverables
Integration plans, monitoring workflows, and incident-response runbooks.
Approach

Discover → Secure → Integrate → Operate

A documented delivery method that keeps outcomes predictable and handover clean across every phase.

01

Discover

We map the current workflow, data, integrations and constraints, then prioritise where automation creates measurable value.

Outputs

Use-case shortlist, process map, data and integration requirements, prioritised roadmap.

02

Secure

We define security boundaries, access and data-handling rules, and the AI governance controls each use case needs.

Outputs

Risk review, data-handling rules, access model, AI-use guardrails.

03

Integrate

We build and connect the solution to the systems you already run, with staged testing and human approval steps.

Outputs

Integrated solution, configuration documentation, test results, rollback plan.

04

Operate

We support a controlled rollout with monitoring, clear ownership, and documentation your teams can run.

Outputs

Monitoring setup, operations runbook, handover documentation, training notes.

First engagements

Three ways to start

Each engagement has a fixed scope and a clear deliverable — a low-risk way to begin, with a defined path to value.

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01Duration: 2–3 weeks

AI Workflow Discovery Sprint

A focused review that turns ideas into a prioritised, purchasable roadmap.

Scope

  • Use-case discovery and process mapping
  • Data and integration requirements
  • Security and governance risk review
  • Prioritised 90-day pilot plan
You receive

A roadmap document and a recommended first pilot.

Discuss this engagement
02Duration: 2–4 weeks

Secure AI Readiness Assessment

An evaluation of how ready your data, access and AI use are for secure adoption.

Scope

  • Data, access and model-usage review
  • Third-party and shadow-AI exposure
  • Prompt-injection and sensitive-data handling
  • Logging, human-approval and governance gaps
You receive

A risk report mapped to the OWASP LLM Top 10 and NIST AI RMF, with prioritised actions.

Discuss this engagement
03Duration: 4–8 weeks

Production Automation Pilot

A controlled pilot that crosses the gap from idea to a working, governed automation.

Scope

  • One high-value use case, end to end
  • Secure integration with existing systems
  • Human approval and audit steps
  • Success metrics and handover plan
You receive

A working pilot, documentation, and a production-readiness assessment.

Discuss this engagement
Trust Center

Measured, not asserted

For banks, insurers and regulated enterprises, trust is a procurement requirement. Here is how we work — and what is available on request.

Delivery Controls

Defined scope, versioned documentation and change control on every engagement, with senior involvement throughout.

Security by Design

Security and risk considerations are part of design and review, not a later add-on.

AI Governance

Controls for prompt injection, sensitive-data exposure, output handling and human approval before production.

Data Handling

Data minimisation, least-privilege access, and confidential treatment of all client materials.

Operational Resilience

Backup, monitoring and recovery considerations are built into integration and handover.

Documentation & Handover

Every engagement ends with documentation your teams can own, audit and operate.

Note

Methodology aligned with recognised frameworks (OWASP LLM Top 10, NIST AI RMF) and a standards roadmap toward ISO/IEC 27001 and ISO/IEC 42001. We make no certification claims that are not independently verified; supporting detail is available on request under NDA.

Case patterns

Capability patterns

Representative patterns of the work we do.

These are anonymised capability patterns, not named client work. They illustrate typical context, constraints and deliverables.

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01

Document-heavy workflow automation

Common context
High volumes of structured and unstructured documents moving through manual review and approval.
Typical constraint
Strict handling requirements for personal and confidential data.
AZINTECO approach
A document and OCR pipeline with an approved LLM, scoped to sensitive-data and output-handling controls, with human approval retained.
Delivered artifacts
Process map, pilot workflow, governance notes, handover documentation.
02

Secure internal knowledge assistant

Common context
Teams repeatedly searching policies, procedures and internal knowledge.
Typical constraint
Answers must stay within approved, internal sources only.
AZINTECO approach
A retrieval-based assistant on group-approved infrastructure, with source restrictions, access controls and logging.
Delivered artifacts
Knowledge-base design, assistant, access and logging configuration, usage guidance.
03

Smart security and operations visibility

Common context
Physical security and operations data spread across separate, disconnected systems.
Typical constraint
Legacy systems with limited integration points.
AZINTECO approach
Consolidated monitoring that brings access control, video and operations signals into one reviewable view.
Delivered artifacts
Integration plan, monitoring workflow, incident-response runbook.
Contact

Procurement & tenders

We engage through formal channels. Send your RFP materials or technical requirements and we will respond.

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