Build the business case for your AI agents

An agent pays for itself through the work it finishes on its own. Estimate that value, and the review and evidence work VeriProof takes off your people, with your own figures.

Where the value comes from

Work finished without review

Every action the agent completes inside your rules is work nobody has to pick up. Raise a limit in Shadow first and you see how much more it would have finished before you change anything.

Agents that reach production

A promising agent stalls when nobody can approve it. Rules your risk team wrote, tested in Shadow, give them something they can sign off on.

Less governance work around each agent

An audit request shouldn't mean starting from scratch. Recorded decisions, rule versions, and reviews are already there for investigations and audit preparation.

Estimate your annual business value

Choose a starting profile, then adjust the workload to match your organization.

Profiles provide editable starting values. They are examples, not industry benchmarks.
Your AI portfolio
Recurring governance work

How the estimate works

Direct value uses the difference between current work and expected work, multiplied by loaded labor rates. The range runs from half of that value to all of it.

  • The cautious end counts half of the returned time as productive, the same recapture rate Total Economic Impact studies use. Payback and return use the cautious end.
  • First-year cost starts from the published plan price plus about a week of developer time to connect each agent.
  • Project value reflects the share of stalled projects you expect to recover.
  • Acceleration applies only when governance causes a measured delay.
  • The growth views are alternatives, so the model does not count the same project twice.

Starting rates use May 2024 U.S. Bureau of Labor Statistics median annual wages, with 35% employment overhead and 1,800 productive hours per year. Compliance officers, software developers, and lawyers. Reviewers use the compliance rate; assurance and investigation rates combine these roles. Adjust the rates to reflect your team.

The 30% project-abandonment rate is a cautious starting value. For comparison, Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027. Replace it with your own portfolio's record. The governance and recovery percentages are planning assumptions you can edit too.

Measure the work your agent finishes on its own

The calculator counts the hours VeriProof returns to developers, compliance, reviewers, and auditors. What the agent's own work is worth depends on your process: a wire released in minutes instead of hours, a claim settled the same day, an order placed without a manager's queue. In the sample week, the wire release agent finished most of its proposed actions without review.

Use your Developer evaluation to test representative scenarios and compare the recorded outcomes with your current process. The calculator remains an estimate; test results support only the workload you actually examined.