VORXI is not software you self-serve and not an AI agent making decisions on its own. It's a managed service: senior finance and analytics professionals, using AI-native tooling under strict human sign-off, so nothing reaches your board or lenders without a person accountable for it.
A dedicated VORXI team runs your engines, your close, and your reporting cadence — you're never handed a login and left to configure a platform alone.
AI drafts, flags and accelerates. It does not post journal entries, finalize numbers, or send anything externally without a named person approving it first.
Every figure that reaches a board or lender pack traces back to a source system and a sign-off record — nothing is a black box.
No. VORXI is a managed decision-support service. You don't get handed a dashboard license and left to configure data pipelines, build reports, or maintain integrations yourself. A VORXI delivery team — senior FP&A, analytics and finance-process specialists — sets up, runs, and continuously operates the engines on your behalf, on a fixed monthly cadence.
The four intelligence pillars (FP&A Managed Services, BI & Analytics, Capital Project Intelligence, and Finance Process Automation) are delivered as an ongoing service relationship, not a self-service tool. See the Delivery Model for exactly what happens week by week.
No — VORXI augments your team rather than replacing it. Your controller, CFO, or finance leads stay the decision-makers and remain the named approvers on every close, forecast and board package. VORXI supplies the senior capacity, the verified-data foundation, and the analytics engine so your existing team spends less time assembling numbers and more time acting on them.
Both, in a specific order: automation and AI handle the repetitive, high-volume work — reconciliations, variance flags, EAC trending, exception detection — and senior VORXI staff review, interpret and approve the output before it's delivered to you. Every deliverable has a named human owner, not just a system log.
That's a normal evolution for a managed service, and VORXI is built to support it. Because the verified-data foundation, reporting logic and sign-off workflows are documented and auditable from day one, transitioning specific processes in-house — or scaling VORXI up as you grow — doesn't require starting over. Talk to your delivery lead about a transition plan whenever it's relevant.
No. AI at VORXI never has autonomous authority over your numbers. It does not post entries, submit filings, approve variances, or send reports to your board or lenders on its own. Every AI-assisted output — a forecast draft, a flagged exception, a suggested elimination — is routed to a senior VORXI reviewer and, for anything customer-facing, to your named approver before it goes anywhere.
This is the same principle behind VORXClose's "verified-data trust mark": no number reaches a board or lender pack without a human-approved, auditable trail back to source.
AI is used for well-scoped, reviewable tasks — not open-ended decision-making:
In every case, AI narrows the field and speeds up the work; a person makes the call.
Several layers, by design, not as an afterthought:
Because AI-assisted output is never released without human review, the intended outcome is that errors get caught before they reach you — that's the point of the sign-off gate. If something is still flagged as incorrect after delivery, your delivery lead is the accountable point of contact: VORXI corrects the output, traces the root cause through the audit trail, and adjusts the review process so the same class of error is caught earlier next time.
VORXI, and specifically a named senior team member, is accountable — never "the algorithm." That's the entire reason for the sign-off model: accountability has to sit with a person you can talk to, not a system.
The three domains map to three different layers of VORXI:
Access is scoped to what each engine needs — typically finance, ERP, production and operational data sources mapped during the Week 1–2 Data Architecture Review on the Delivery Model. Access is granted deliberately and documented, not open-ended, and runs through the same governed vorxi.tech data layer every engine relies on.
Your financial and operational data is used to run and improve your VORXI engines — not to train general-purpose external models. Specific data-handling and confidentiality terms are set out in your service agreement; ask your delivery lead for the current data-processing terms during onboarding.
Yes — this is the purpose of the VORXClose decision intelligence layer, running on vorxi.io. Every figure in a board or lender pack carries a trail back to its source system, the process that generated it, and the person who signed off on it.
From signed agreement to a launched reporting cadence is typically 90 days, run in five stages — data architecture review, engine configuration, a parallel run against your existing reporting, go-live, and a first performance review. Full breakdown on the Delivery Model page.
No. Most engagements start with one or two engines — commonly VORXField or VORXFin — and expand as trust in the verified-data layer builds. Explore FP&A Managed Services, BI & Analytics, Capital Project Intelligence, and Finance Process Automation individually.