Your AI agents are everywhere.
Your AI value is nowhere.
AI dashboards count tokens. Roiva attributes outcomes — every dollar traceable to a formula and an integration source, across every agent, pilot, and initiative you run.
The problem
Companies are deploying AI agents everywhere.
Almost no one can attribute a dollar to them.
AI pilots succeed in the lab and disappear in the budget review.
No clear ROI measurement
Teams run AI pilots but have no defensible way to quantify the dollars saved or earned — so budgets get cut.
An AI portfolio nobody can see
Agents, pilots, and models are scattered across teams with no shared view of cost, ownership, or outcome.
No blueprint for what to try
It's hard to know where AI will actually move the needle for your specific business — without a structured way to look.
Beyond ROI
Where AI value actually comes from
Every dollar in Roiva's ROI number rolls up from one of four value types — each backed by its own formula, baseline, and audit trail.
A workflow that got cheaper — synced automatically from your cloud and model-API bills, or logged manually against a baseline.
A deal closed or upsized with AI's help — tied back to the CRM opportunity, not estimated after the fact.
Hours a team got back, converted to dollars using your own loaded labor rate — not an industry benchmark.
Spend you didn't have to take on — a hire you skipped, a renewal you dropped — logged against the plan it replaced.
How it works
Three steps to track AI ROI end-to-end
Roiva gives you the structure to go from "we're exploring AI" to "AI delivered $X this quarter."
Why Roiva
Built for the dollar number, not the dashboard
The tools you've been using to measure AI weren't built for it. Here's how Roiva is different.
- Manual entry; nobody updates it after month two
- No connection to CRM, support, or cloud spend
- Formulas break when the methodology changes
- One person owns it; nobody else trusts it
- Tokens consumed, prompts run, calls made
- No link from spend to business outcome
- Treats AI as a cost line, not a portfolio
- CFO can't tell if AI paid back the investment
- Versioned formulas with input snapshots — every dollar is traceable
- 30+ integrations sync cost and value automatically
- Approval workflow keeps unrealized value out of reported ROI
- An auditable AI portfolio — agents, pilots, and models — attributed to outcomes across sales, ops, support, and finance
Examples
What AI ROI looks like in practice
Illustrative — based on the kinds of returns we see modelled on the platform.
Common questions
What finance and ops leaders ask first
How is this different from a spreadsheet, a FinOps tool, or a BI dashboard?
We don't have baselines yet. Is it too early?
How long until we have a number we can defend?
Who owns this — finance, or the teams running AI?
Will the numbers hold up with our CFO or board?
How is Roiva priced?
How do you handle our data and security review?
See where your AI ROI exposure sits today.
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