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Target Audience

Target Audience

AI Fabrix serves multiple stakeholders across the enterprise. Each audience benefits from a platform-first approach that runs in the customer’s Azure tenant, balancing innovation speed with governance and compliance.

Executive Stakeholders

Who: CEO, CIO, CDO, CTO, CFO, BU leaders What they care about: Time-to-value, risk, total cost, compliance, vendor lock-in How Fabrix helps:

  • Moves AI from pilots to production with predictable costs (subscription tiers; infra billed directly via Azure).
  • Reduces risk via in-tenant deployment, ISO-27001 alignment, Entra ID SSO/RBAC, auditability.
  • Avoids lock-in with an open-source foundation and a clear exit path. Decision criteria & KPIs: Time-to-first use case, % pilot-to-prod conversion, audit readiness, cost per use case, user adoption.

IT Architects

Who: Enterprise, solution, and data architects What they care about: Reference architectures, integration patterns, multi-env promotion, interoperability How Fabrix helps:

  • Layered architecture (Infra → Miso → Core → Flowise → OpenWebUI → SDK/Plugins) with clear module boundaries.
  • Metadata-aware retrieval and connectors for SharePoint, Teams, CRM/ERP/HR/Finance.
  • Dev→Test→Prod lifecycle with governance, observability, and rollback. Decision criteria & KPIs: Architectural fit, connector coverage, security model clarity, ease of integration, MTTR.

Developers

Who: Application engineers, integration developers, LLM/RAG engineers What they care about: Productive APIs/SDKs, safe plugin model, testability, repeatability How Fabrix helps:

  • Developer SDK, plugin framework, and Core APIs for rapid connector and workflow development.
  • Flowise for building RAG pipelines and system orchestrations without boilerplate.
  • Local testing patterns and CI/CD-ready packaging with schema validation. Decision criteria & KPIs: Build time per feature, defect rate, code reuse, connector/extensibility velocity.

DevOps Engineers

Who: Platform engineers, SRE, release managers What they care about: Reliable deployments, scaling, observability, run costs How Fabrix helps:

  • Miso control layer automates Azure provisioning, secrets, identity, and compliance controls.
  • Containerized services with horizontal scaling, health endpoints, structured logs, metrics, and traces.
  • Environment promotion and policy-as-code for consistent releases. Decision criteria & KPIs: Deployment frequency, change failure rate, lead time, infra costs, alert fatigue.

Security Teams

Who: CISOs, security architects, GRC/compliance officers, DPOs What they care about: Identity, least-privilege, data protection, auditability, standards alignment How Fabrix helps:

  • Entra ID SSO, SCIM, RBAC inheritance; Azure Key Vault for secrets; private networking.
  • ISO-27001 alignment with audit trails, egress controls, usage limits, quotas.
  • Controlled AI development practices (review gates, logging, provenance). Decision criteria & KPIs: Compliance evidence, audit findings, policy coverage, data access violations, incident rate.

End Users

Who: Knowledge workers, sales, service, operations, analysts, content creators What they care about: Usability, accuracy, speed, trustworthy access to enterprise content How Fabrix helps:

  • OpenWebUI for chat, case-building, and collaboration with role-based access.
  • Metadata-aware retrieval ensures relevant, permission-respecting answers.
  • Workflows that execute tasks end-to-end via Flowise and enterprise connectors. Decision criteria & KPIs: Task completion time, user satisfaction (CSAT), adoption/retention, deflection rates.

Partner Ecosystem

Who: System integrators, ISVs, OEMs, domain solution providers What they care about: Extensibility, commercial alignment, joint GTM, maintainability How Fabrix helps:

  • SDK and plugin framework with “server-side only” execution and dynamic schemas.
  • Clear module boundaries and APIs to embed domain solutions or vertical packs.
  • Co-selling model on top of Azure marketplace deployments. Decision criteria & KPIs: Time-to-solution, reuse across clients, support overhead, shared pipeline wins.

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