Business cases that prove the return

Everyone wants ROI on AI.
You need it on every investment, not just AI.

AI put return-on-investment back on every board’s agenda. Arivue helps you fund the right investments, not just the best-pitched ones, by making the case for each one defensible enough to survive the room.

Enterprises commit a growing share of revenue to transformation. Most programs never deliver what the case promised.

At enterprises over $500 million, technology and transformation now absorb a meaningful share of revenue.

Most of it is AI pilots piling up faster than anyone can evaluate them. Arivue builds the business case for each one, so you fund the pilots that earn it. How to prove ROI on AI →

<1%

of big projects land on time, on budget, and on the benefits promised.

Sources: Deloitte, 2024 (~400 US leaders at $500M+ enterprises); Gartner, 2026 (782 I&O leaders); Flyvbjerg, How Big Things Get Done, 2023 (16,000+ projects).

What it does

From a brief to a defensible case, to value you can prove.

Arivue turns a short brief into a complete business case in minutes: grounded in research, priced by a deterministic financial engine, checked against itself for consistency before anyone sees it, and coached section by section until it is ready. The same case deepens from budgetary to investment-grade as the decision matures, never re-keyed.

Research

Grounds the case in vendor, competitor, and market research before a single option gets ranked.

Deterministic Financials

NPV, IRR, payback, and Cost of Delay, reproducible run to run.

The Trust Engine

Audits the case against itself before anyone sees it: benefit and cost held to the same basis, inflated returns caught, weak sections held back until resolved.

Recommendation Engine

Coaches every section: what belongs there, how it scores against a reviewer's checklist, and a drafted fix you can accept in place.

Bring one real initiative. We’ll build the business case free.

Every claim on this page is what the platform actually produces: assumptions, risks, sensitivity, and the recommendation, end to end. See it built on yours.