For CFOs

Approve AI Agents Without Owning All The Risk

Mount helps CFOs understand, control, and insure the financial risk of AI agents before they move money, access data, or make business decisions.

No deep integration required to start. We begin with the workflow, permissions, controls, and maximum action value.

Risk Authority Map

CFO Financial Risk Review

$25k

Max action value

$25k

Max action value

Quote

Decision state

Quote

Decision state

Gap

Coverage gap

Coverage gap

Decision file:

Finance operations agent: AP review, vendor messages, approvals

Support refund agent: Customer impact and refund authority

Sales agent: Quotes, discounts, customer promises

Signals:

Action authority: Invoice prep, vendor messages, approvals

Controls: Approval thresholds, segregation, rollback

Risk transfer: Workflow-level AI liability path

Trust Band

AI Trust Band: Risk, Controls & Board Clarity

ROI: Turn AI productivity into a budgeted business decision.

Tail risk: Replace open-ended exposure with limit, retention, and exclusions.

Controls: Fund safeguards that reduce loss and premium ambiguity.

Board answer: Show what is covered, what is retained, and what must be fixed.

The CFO Problem

The issue is if the company knows AI's downsides.

AI budgets are moving from experiment to production. Once agents take business actions, the CFO is underwriting the risk internally unless it is measured, controlled, and transferred.

01.

The productivity upside is visible. The failure cost is not.

02

Existing insurance may not answer cleanly.

03.

A loss without evidence becomes a finance problem.

Faster AI Approval with Budgetable Downside

What Mount Does

We turn agent risk into

a finance decision file.

Not a generic AI policy. Not a security questionnaire that dies in procurement. A declared workflow with authority, exposure, controls, claim evidence, and a first insurance decision.

01.

Map

Agent, workflow, tools, data scope, permitted actions, owner, and human review.

01.

Map

Agent, workflow, tools, data scope, permitted actions, owner, and human review.

02.

Value

Maximum single-action value, customer impact, datа exposure, downtime, and volume.

02.

Value

Maximum single-action value, customer impact, datа exposure, downtime, and volume.

03.

Gap

Where legacy policies may respond, dispute causation, sublimit, or exclude the loss.

03.

Gap

Where legacy policies may respond, dispute causation, sublimit, or exclude the loss.

04.

Fix

Controls that reduce frequency, severity, premium ambiguity, or claims uncertainty.

04.

Fix

Controls that reduce frequency, severity, premium ambiguity, or claims uncertainty.

05.

Insure

Route the workflow to quote-ready, underwriter referral, fix-first, decline, or monitor.

05.

Insure

Route the workflow to quote-ready, underwriter referral, fix-first, decline, or monitor.

Faster AI Approval with Budgetable Downside

What CFOs Buy

Faster AI Approval with Budgetable Downside

A CFO does not buy “AI coverage.” A CFO buys a way 

to say yes without owning the whole downside.

Budget: Faster AI approval.

Balance sheet: Budgetable downside.

Controls: Clear control ROI.

Governance: Board-ready answer.

Where To Start

Start with agents that can create a financial event.

Finance: AP, AR, procurement, bookings.

Support: Refunds, tickets, customer records.

Revenue: Sales, renewals, quotes.

Operations: Code, APIs, internal systems.

Decision Levers

Embedded does not mean
loose underwriting.

How authority, limits, controls, evidence, and policy gaps turn agent exposure into a quote.

Agent authority

Defines the loss boundary.

Max action value

Frames limits and retention.

Controls

Moves eligibility and price.

Evidence

Protects claim recovery.

Existing policies

Shows the coverage gap.

Residual transfer

Turns risk into a quote.

Show us one production agent.
We will tell you the financial risk shape.

Mount returns a first view: quote — ready, underwriter referral, fix — first, decline, or monitor. Either way, you get the controls and evidence an insurer needs before the loss happens.

Show us one production agent.
We will tell you the financial risk shape.

Mount returns a first view: quote — ready, underwriter referral, fix — first, decline, or monitor. Either way, you get the controls and evidence an insurer needs before the loss happens.

Show us one production agent.
We will tell you the financial risk shape.

Mount returns a first view: quote — ready, underwriter referral, fix — first, decline, or monitor. Either way, you get the controls and evidence an insurer needs before the loss happens.

Show us one production agent.
We will tell you the financial risk shape.

Mount returns a first view: quote — ready, underwriter referral, fix — first, decline, or monitor. Either way, you get the controls and evidence an insurer needs before the loss happens.