Enterprise

Governance on every call

Permissions, approved data, methodologies and an audit trail stay on the call, whichever approved assistant the firm uses: Claude, Codex, Gemini, ChatGPT, or Copilot.

How governance is on every call

01

Permissions

Separate who can view books, run live pricing, or publish client-facing artifacts across every connected environment.

02

Approved data sources

Use entitled market data and firm portfolio state - not ad-hoc spreadsheets pasted into a chat.

03

Defined methodologies

Agree how exposure is framed, which models are allowed, and what a decision pack must include.

04

Auditability

Rerun with the same inputs; inspect what tools and data supported the answer.

05

Consistent deliverables

Same evidence structure across desks and teams - sources, assumptions, methodology, warnings.

06

Fit existing systems

MCP for approved AI environments, HTTPS for internal apps - one Maestro underneath.

Authentication

Product surface today: platform sign-in, OAuth for assistants where configured, and personal access tokens for API and MCP.

Questions: enterprise@zerovar.com

Launch an AI advisory plan with the LLM you have already approved

For banks, brokers and payment firms. Faster and safer than building the financial layer alone.

01

Under your brand

A commercial conversation about how the assistant shows up for your clients. Not a live white-label product.

02

The assistant you have approved

Claude, Codex, Gemini, ChatGPT, and Copilot. We do not add a model your firm has not approved.

03

Not a dealer

Maestro does not execute trades. Analysis only. Not a quote.

Start a controlled evaluation

Tell us about your book, control requirements and where MCP or APIs fit. We follow up from enterprise@zerovar.com.

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