One AI estate. Different executive questions.
Cybatar gives the institutional buying committee one operating truth while allowing each function to govern the decisions, risks, economics and evidence it owns.
Run AI as an institutional portfolio—not a collection of experiments.
Give the CAIO one operating model for AI estate visibility, material decisions, governance, evidence, economics and measurable institutional value.
Explore solution → CIO & CTOBring fragmented AI providers, workloads and infrastructure under one operating model.
Create visibility and control across models, clouds, providers, workloads, capacity, resilience and enterprise AI architecture without forcing the institution onto a single vendor stack.
Explore solution → Risk, Compliance & LegalTurn AI obligations into controls—and controls into evidence.
Connect applicability decisions, policy, controls, evidence requirements, exceptions, incidents and human review into one governed AI control environment.
Explore solution → CFO & FinanceKnow what AI costs—and require proof of what it returns.
Connect provider, token, infrastructure, supplier and programme cost to measurable outcomes, finance validation and comparable unit economics.
Explore solution → Internal Audit & AssuranceMove from requesting AI evidence to having it continuously preserved.
Inspect material AI decisions, runtime evidence, provenance, controls, reviews and chain of custody without relying on post-hoc screenshots and recollection.
Explore solution → Procurement & Vendor ManagementGovern AI dependency before the institution signs for it.
Bring supplier assurance, commercial terms, contracts, usage, resilience and value evidence into AI procurement and renewal decisions.
Explore solution →AI governance fails when every executive function runs a different inventory.
Cybatar connects the technology, risk, finance, audit and procurement views around the same underlying AI estate.