Fragmented model and AI inventories
Financial Services
Govern AI at the standard expected of regulated financial institutions.
Govern models, agents, customer-facing AI, suppliers and investment economics at the standard expected of regulated financial institutions.
Industry pressure
The control problem is specific to the operating environment.
Cybatar connects AI inventory, governance, evidence and economics so technology, risk, finance and business teams work from the same institutional record.
Third-party and customer-facing AI risk
Model governance and regulatory evidence
Unclear AI spend and validated value
Priority operating capabilities
What Cybatar should make visible and govern.
The platform is configured around the institution's own materiality, authority, evidence and economic model rather than a generic checklist.
01AI estate and model inventory
02Materiality, authorisation and model governance
03Regulatory control and evidence
04Supplier and model assurance
05AI economics and finance validation
06Executive portfolio reporting
One institutional operating model
Record. Control. Evidence. Economics.
Cybatar connects the AI estate to accountable decisions, evidence and value so financial services does not govern AI through disconnected committees and spreadsheets.
Record
Inventory, ownership, AI Passports and lifecycle.
Control
Intake, authorisation, policy and obligations.
Evidence
Provenance, decisions, assurance and audit records.
Economics
Spend, unit economics, outcomes and validated value.
Financial Services
Request an AI Estate AssessmentMap your AI estate before the next material decision.
Bring your current systems, governance model, supplier exposure and executive questions. Cybatar will structure the operating problem.