CEO · CFO · CIO · Executive Sponsor
The AI program ROI story your board will actually believe.
Every AI program eventually faces the same question: prove it's worth the spend. IntakeOS builds that proof in from the start — every opportunity scored by the same deterministic rules, every dollar of ROI traceable to the evidence behind it, rolled up into a single portfolio view.
What IntakeOS does for you.
- 1A continuously ranked, portfolio-level view of every qualified opportunity and its ROI
- 2Deterministic, auditable scoring — no black-box AI making the investment call
- 3Payback period, net value, and risk surfaced for every initiative you fund
- 4One number, defensible in front of any audit committee
“Every recommendation comes with the exact rules that fired and the ranked alternatives we considered. Our audit committee approved AI-assisted intake on the first review.”
Chief Compliance Officer, Global Financial Services
Have a question? Talk to our sales team before you decide.
Contact Our SalesWhat this role asks first.
Short answers to the questions CEO teams raise before taking IntakeOS further.
How do we know the ROI numbers aren't vendor math?
Every ROI model is traceable to its inputs. The calculation uses the organization's own volumes, handle times, and labor rates, and each assumption and formula is recorded with the opportunity, so an audit committee or CFO can inspect the derivation rather than trusting a headline figure.
Who makes the investment recommendation - the AI or the rules?
The rules. 8-dimensional deterministic scoring produces the score and the recommended pattern; AI conducts the interview and writes the explanation. Identical inputs always produce identical rankings, and every rule that fired is logged.
How quickly does an executive sponsor see something fundable?
The first qualified opportunity comes out of the first intake - roughly 45 minutes of a business user's time plus review. A ranked, portfolio-level view builds up as more intakes complete, typically within the first weeks of a pilot rather than a budget cycle later.
What does IntakeOS reduce the risk of?
Funding AI work that was never qualified. Most failed automation spend is committed before anyone establishes volume, exception rates, or whether the process should exist at all - and IntakeOS forces those questions to be answered, with evidence, before money moves.