For CIOs & IT Leaders

Infinize is built API-first, cloud-ready, and security-compliant—helping IT teams unify data, govern access, and scale AI-powered student support with confidence.

API-first integration RBAC & audit logs FERPA / GDPR ready On-prem or cloud deployment
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IT at a glance
  • 🔗 API connectors for SIS, LMS, CRM
  • 🔒 RBAC, SSO, audit trails
  • ⚙️ Deployment: cloud, on-prem, or hybrid
  • 🛡️ Data governance & minimization
  • 📈 Scale AI agents without infra sprawl

What you’ll care about

Secure by design
Encryption in transit and at rest, least-privilege data flows, and compliance with FERPA, GDPR, and SOC 2 standards.
Infrastructure flexibility
Run Infinize cloud-native, hybrid, or on-prem—aligned with your university’s IT strategy and budget.
Unified integrations
One Common Data Model integrates SIS, LMS, CRM, identity, and web data—reducing silos and duplicate feeds.
Governance & auditability
Track every AI action with logs; enforce human-in-the-loop controls and confidence thresholds.

Outcomes you can measure

Reduced integration costs
API-first approach simplifies ongoing SIS/LMS/CRM sync.
Lower support burden
Universal Agent deflects common tickets (forms, holds, password resets).
Audit & compliance ready
Logs and reporting simplify compliance checks and audits.
Scalable infrastructure
Elastic cloud deployment; GPU agents scale with demand.

Mini-ROI (illustrative)

  • 30–40% faster integration setup with prebuilt APIs
  • 20–25% fewer IT tickets from advisors/students
  • Cost avoidance by consolidating multiple silo tools
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How it works for your IT team

Common Data Model
Central schema unifies identities and events across SIS, LMS, CRM, and identity systems.
Explore CDM →
Agentic execution
Universal Agent executes safe, auditable actions across systems with RBAC enforcement.
See Universal Agent →
Flexible deployment
Deploy in AWS, Azure, or your data center—without locking into proprietary stacks.
Read Security & Privacy →

FAQs

Most institutions deploy the Common Data Model and first agents within 4–6 weeks, using existing SIS/LMS/CRM APIs.

Not necessarily—Infinize runs on standard cloud infra. For heavy RAG/agent concurrency, GPU instances are auto-scaled or containerized on-prem.

Confidence thresholds, human-approval gates, and policy-pinned answers ensure outputs are safe, accurate, and aligned with institutional policy.

Ready to unify systems, reduce tickets, and deliver secure AI at scale?

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