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Cost ReductionFounded 2016 · 10 yrs

Vic.ai

AI-first accounts payable automation for autonomous invoice processing and finance operations

By Vic.ai · HQ New York, US · 4.0/5 verified-buyer score

Positioning guardrails

Best for

  • Mid-market and enterprise finance teams processing high invoice volumes that want to cut AP cost without adding headcount
  • Controllers and AP managers who want to remove manual coding, PO matching and approval work
  • Multi-entity organizations needing real-time AP visibility and cash control across ERP systems
  • Teams that prefer template-free AI invoice capture over rule-based OCR and template setups
  • Finance leaders who already run Oracle, Microsoft or Workday ERPs and want a fast, guided connection

Ideal size: 100–5,000 employees people · Mid-market to enterprise with a dedicated AP team and an ERP of record

Not for

  • Very small businesses with low invoice volume looking for cheap self-serve software
  • Buyers who require published list pricing before speaking to a vendor
  • Companies that must process payment card data directly, since Vic.ai is out of PCI DSS scope
  • Organizations unwilling to run a guided implementation and ERP integration project

Value metrics scorecard

Time-to-Value

2–3 months (guided implementation)

~60 days to first production value

Total Cost of Ownership

$0/yr

Starts at $0 · Quote-based enterprise pricing; no public list price, and a demo/discovery meeting is required

Implementation Friction

3/5

Engineering + admin effort required

Buyer Score

4.0

out of 5 · verified buyers

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published; scope is set by invoice volume, entities and ERP integrations

Add-on costs

  • None

Company & support

Who is behind Vic.ai, and how your team gets help once it is live.

Company

Founded
2016 · 10 yrs in business
Headquarters
New York, US

How you get support

  • PhoneNot listed
  • EmailPlan not stated
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumNot listed
  • Help centre / docsNot listed
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Incident SLAs: critical 4 hours, high priority 48 hours

Customer support email is published; incident handling follows priority-level SLAs described in the trust center.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Vic.ai sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr29d33d36d50d64dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyVic.aiProcurifyPaystandLoopTransImpactAFS Logistics

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Vic.ai is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Vic.ai
  • Procurify
  • Paystand
  • Loop
  • TransImpact
  • AFS Logistics
Add or change companies

Up to 10 companies including Vic.ai. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Integration
SAPNot supported
SlackNot supported

AI & MCP readiness

What Vic.ai ships in AI, and what it asks of your ecosystem.

AI features shipped

Agentic workflowsDocument processing

Trust center describes proprietary AI trained on over 1 billion invoices, with global models using derived non-identifiable data and local coding models trained on customer materials only. The 2025 milestone introduced Victoria, an agentic AI ally inside the platform.

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 ISO 27001 — not heldGDPR — not heldHIPAA — not heldFedRAMP — not heldISO 42001 — not heldIAPP AIGP* — not held

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Vic.ai is an AI-first accounts payable platform aimed at mid-market and enterprise finance teams. It captures invoice data, applies GL coding, matches POs and posts back to the ERP without templates or setup work. The vendor claims an 85% no-touch rate by month six, 99% invoice accuracy and a seven-month payback. VicCard and expense management extend it to non-payroll spend, and Victoria, its agentic AI ally, sits inside the platform. Pricing is quote-based, so buyers start with a demo.

Frequently asked questions

What does Vic.ai cost, and is there published pricing?

Vic.ai does not publish list pricing. Its pricing page is a demo request page that frames the first meeting as a discovery session covering how AI applies to your AP process. Budgeting therefore requires a quote, typically scoped to invoice volume, entity count and ERP integrations.

How long does implementation take before we see value?

Vic.ai describes a phased implementation: process documentation and requirements, tailored configuration with ERP integration, testing and user training, then production go-live readiness. The vendor reports an 85% no-touch invoice rate by month six and a seven-month payback period, so plan on roughly two to three months to first production value.

Does Vic.ai replace our ERP or accounting system?

No. Vic.ai sits alongside your ERP with bi-directional, real-time data sync. Invoices flow in from the ERP, an AP inbox or mobile upload, AI codes and matches them, and approved invoices post back with full audit trails. Oracle, Microsoft, Coupa, Sage, Workday and Vista integrations are named, plus an open API.

How is our invoice data used to train the AI models?

The trust center describes two model types. Global models predict header fields such as invoice number, date and total, and are trained on derived, non-identifiable data shared across customers. Local models predict line-level coding such as GL account, location and department, and are trained only on your materials with no cross-client learning.

Which security certifications does Vic.ai hold?

Vic.ai states it maintains SOC 1 Type II and SOC 2 Type II certifications, renewed annually and audited by third parties, follows an ISO 27001 framework, hosts on AWS with AES-256 encryption at rest and TLS in transit, supports SSO and MFA, and runs annual third-party penetration tests. Reports are available under NDA.

Which companies use Vic.ai today?

Published references include Milwaukee Tool, Stonewall Kitchen, Diesel Direct, Crown Crafts, VTrips, Heart Aerospace, Higher Ground Education, HallKeen Management and BHI. Reported outcomes include four times faster invoice processing, 84% lower processing time, 25,000 hours saved per year and a seven-month payback.