How much does Vic.ai cost?

Custom, by sales quote. The only public figure is Vic.ai's own AWS Marketplace listing, a $25,000 twelve-month contract.

What are the best alternatives to Vic.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Vic.ai among enterprise operations agents are Alloy.ai, Basis, Byron, Optimal Dynamics. Each is graded on the same public evidence, and no vendor pays for placement.

Does Vic.ai have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Vic.ai publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The trust page attests SOC 1 and SOC 2 Type II compliance with GDPR, TLS in transit, encryption at rest, an incident response policy and fraud prevention. Customers keep control through the documented approval and governance surface, with a. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Vic.ai require human approval before an agent acts?

Full under the Agentic Index verification standard. Vic.ai publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: Autonomy is scoped rather than blanket, and the gate is the customer's own approval surface on Vic.ai's platform: eligibility rules govern which invoices process autonomously, everything else routes through approval flows with dynamic resub. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Vic.ai support MCP and tool calling?

Partial under the Agentic Index verification standard. Vic.ai publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: An open REST API is named in Vic.ai's integration documentation alongside the native ERP connectors. The API reference, with its authentication and endpoints, is not published openly, and no SDK or MCP server is documented. Vic.ai, vic.ai i. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Vic.ai

Q: Who is Vic.ai for?

finance teams, AP teams, mid-market

Also known as: Vic.ai, VicAI, Victoria

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Enterprise operations agentindependentVerified 2026-09-07

Entry priceContact for pricingFull pricing detail

Autonomous accounts-payable platform whose models, trained on a billion-plus invoices, run capture, GL coding, three-way PO matching, approval routing and ERP posting end to end, with eligibility-scoped Autopilot, customer-set auto-post conditions, named connectors across the major ERPs, and SOC 1 and SOC 2 Type II attestation.

Vic.ai is a New York based autonomous accounts payable platform, co-founded by Alexander Hagerup, whose proprietary models, trained on more than a billion invoices, process invoices end to end: capture, general ledger coding, three-way purchase order matching, approval routing and posting into the ERP.

Autopilot handles eligible invoices without human touch, with eligibility rules scoping what runs autonomously, while VicAgents triage invoices, route approvals and resolve exceptions across the lifecycle; approval flows resubmit dynamically when an invoice is recoded mid-process, stalled approvals auto-escalate, and customers can set conditions, such as all lines matched within tolerance and all approvals complete, that auto-post PO-backed invoices with no manual action.

Grounding is per customer, in historical vendor data, learned team coding preferences and the ERP's purchase order and goods receipt records, and predictions extend to descriptions, comment fields and invoice line structure guided through the Prediction Assistant.

Native connectors span SAP S/4HANA and ECC, Workday Financials, Oracle NetSuite, Microsoft Dynamics 365, PeopleSoft, Sage Intacct and Infor plus Coupa and DocuSign, with bidirectional posting and an open REST API; VicInbox ingests invoices from Outlook, and the platform extends into payments with funding-account visibility, a chat-based corporate card product, and Victoria, its agentic assistant.

The company is SOC 1 and SOC 2 Type II attested with GDPR alignment, encryption in transit and at rest and fraud detection, runs on AWS United States data centers, and publishes quarterly product releases; pricing is by sales quote with no published rate.

Vendor details

Canonical URL

https://vic.ai

Subcategory

Finance — autonomous AP automation

Company status

independent

Use cases & customers

Primary use cases

accounts-payable automationinvoice extractionPO matchingapproval routing

Target customers

finance teamsAP teamsmid-market

Deployment options

SaaS

In practice

Your AP clerks key invoice data and chase approvals all day. Vic.ai extracts the invoice, runs three-way PO matching, and routes it for approval on its own.

Paying vendors means a separate run across ACH, check, and card. Vic.ai handles payment end to end across all three, so approval and payment aren't two disconnected steps.

The system makes the same coding mistake until someone fixes it every time. Vic.ai learns from your corrections and sharpens its spend forecasting as it goes.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling	Full
Named ERP connectors with bidirectional posting into the system of record: SAP S/4HANA and ECC, Workday Financials, Oracle NetSuite, Microsoft Dynamics 365, PeopleSoft, Sage Intacct and Infor, plus Coupa and DocuSign, per Vic.ai's integration documentation. The Q1 2026 release deepens ERP synchronization, including line-level dimension preservation on document-level PO matches. SourceVic.ai, vic.ai integration documentation and vic.ai/blog Q1 2026 releaseread 2026-09-07
Workflow Orchestration	Full
Autopilot processes invoices end to end, capture, coding, three-way PO matching, approval routing and ERP posting, VicAgents handle triage, routing and exception resolution across the lifecycle, and the surfaces the customer composes are documented: approval flows that resubmit dynamically when an invoice is recoded mid-process, auto-escalation, custom fields, and auto-post conditions the customer sets. SourceVic.ai, vic.ai/blog Q1 2026 release and June 2026 product updatesread 2026-09-07
Knowledge Grounding & RAG	Full
Per-customer grounding in a maintained corpus: predictions draw on historical vendor data and document context, coding preferences learned per team, and the ERP's purchase order and goods receipt records for three-way matching, with PO dimensions auto-applied to matched lines from the live PO record. The billion-invoice training corpus belongs to Vic.ai's models, separate from the persistent customer-side grounding the agents retrieve against. SourceVic.ai, vic.ai/blog Q1 2026 releaseread 2026-09-07
Human Oversight & Guardrails	Full
Autonomy is scoped rather than blanket, and the gate is the customer's own approval surface on Vic.ai's platform: eligibility rules govern which invoices process autonomously, everything else routes through approval flows with dynamic resubmission when an invoice changes mid-process, auto-escalation when approvers stall, and an exception queue flagging what needs human attention, framed by Vic.ai as more autonomy without sacrificing visibility or control. SourceVic.ai, vic.ai/blog Q1 2026 releaseread 2026-09-07
Security, Identity & Governance	Full
The trust page attests SOC 1 and SOC 2 Type II compliance with GDPR, TLS in transit, encryption at rest, an incident response policy and fraud prevention. Customers keep control through the documented approval and governance surface, with autonomy scoped by eligibility rules, approval routing with dynamic resubmission and automatic escalation, and the Q1 2026 release's governance and performance controls over what processes autonomously. SourceVic.ai, vic.ai/trust and vic.ai/blog Q1 2026 releaseread 2026-09-07
Observability & Auditability	Partial
Visibility into what the autonomy did, without a documented run record. The Q1 2026 release gives finance teams governance and performance controls and visibility into autonomous decisions with an exception queue, the June release adds a funding-account transaction view and a customer ticket portal, and every prediction carries its inputs in the product surfaces described. No decision trail for each action or agent run log a customer can open is documented. SourceVic.ai, vic.ai/blog Q1 2026 release and June 2026 product updatesread 2026-09-07
Memory & State Persistence	Not documented
Vic.ai's system learns from corrections, retains which approver signs off on which vendor and ledger combination, and learns line structure from Prediction Assistant guidance. All of that is learning absorbed into Vic.ai's models, which improves prediction rather than giving the agents a memory layer. No memory architecture with a stated scope, lifetime or deletion path is documented. SourceVic.ai, vic.ai/blog Q1 2026 releaseread 2026-09-07
Deployment & Data Residency	Not documented
Vic.ai's own compliance announcement states the platform runs on Amazon Web Services United States data centers: one stated hosting country, with no region list, customer environment or selection surface documented anywhere. That is a well-evidenced None. SourceVic.ai, vic.ai/blog SOC 2 announcement and vic.ai/trustread 2026-09-07
Prebuilt Agents, Templates & Packs	Partial
Vic.ai has a family of named units: Autopilot, VicAgents, the Prediction Assistant and Victoria, plus VicCard and VicPay. These are modes and features of one AP platform and adjacent product modules rather than a catalog of adoptable agents a buyer selects among: Autopilot without VicAgents' triage and approval routing is not a whole product, the Prediction Assistant is a feature of invoice capture, and VicCard and VicPay are a product line. No browsable catalog is documented. SourceVic.ai, vic.ai/blog product updatesread 2026-09-07
Triggers & Channel Coverage	Full
Vic.ai's June 2026 release ships auto-posting of PO-backed invoices "once your trigger conditions are met", such as all lines matched within tolerance and all approvals complete, so customer-configured conditions fire autonomous action. Alongside it sit invoice-arrival processing, VicInbox for Outlook as an email ingestion channel, dynamic approval resubmission reacting to mid-process changes, auto-escalation of approvals, and the chat-based card product as a conversational channel. Work starts from conditions the customer configures and from document, ERP and email events across several channels. SourceVic.ai, vic.ai/blog June 2026 product updates and Q1 2026 releaseread 2026-09-07
Model Flexibility & Routing	Not documented
The platform runs Vic.ai's proprietary models trained on its own invoice corpus, with no model provider named for any layer and no customer or admin choice of model documented on any Vic.ai surface. SourceVic.ai, vic.ai product and release pagesread 2026-09-07
APIs, SDKs & MCP Extensibility	Partial
An open REST API is named in Vic.ai's integration documentation alongside the native ERP connectors. The API reference, with its authentication and endpoints, is not published openly, and no SDK or MCP server is documented. SourceVic.ai, vic.ai integration documentationread 2026-09-07
Testing, Debugging & Optimization	Not documented
Prediction quality improves through absorbed learning, and eligibility scoping gates which invoices process on their own. No customer test surface, simulation, comparable result a customer can read, or way to put a change under test is documented. SourceVic.ai, vic.ai/blog Q1 2026 releaseread 2026-09-07
Browser & Computer Use	Not documented
The agents work through ERP connectors, the API and email ingestion rather than driving a browser or operating a computer interface; reading invoices from an Outlook inbox is channel handling, not computer use, and no interface control is documented on any Vic.ai surface. SourceVic.ai, vic.ai/blog June 2026 product updatesread 2026-09-07

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-08-06·Funding / partnershipVerified

Vic.ai has partnered with Increase and Core Bank to power the account and payment capabilities of its VicPay platform. The integration provides the banking infrastructure for ACH, check, and virtual card payments directly within the autonomous finance platform.

Bears on: Funding / partnership

View source

2026-08-05·Workflow orchestrationVerified

Vic.ai released its July 2026 product updates, focusing on enhancements to the VicPay product. The release includes delayed payment notifications, payment detail visibility directly in the invoices table, a new payment batch creation modal, and improved machine learning extraction for invoices over 200 lines.

Bears on: Workflow orchestration

View source

View all 2 changes for Vic.ai →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Contact for pricing

not disclosed

Included quota

Core AP autonomy: template-free invoice data extraction (header + line-item), intelligent GL coding to accounts/dimensions, autonomous approval routing, automated PO matching, duplicate/exception flagging, and real-time AP analytics - with ~99% extraction accuracy and 80%+ touch-free processing after a learning period. Add-on modules: Payments, VicCard + Expense Management, advanced analytics. First-class ERP integrations: NetSuite, Sage Intacct, Microsoft Dynamics (plus SAP/Oracle/QuickBooks/Xero).

What is public

Vic.ai, an autonomous accounts-payable and "autonomous finance" platform (AI invoice processing, GL coding, approval routing, PO matching, VicCard and expense management), does not publish pricing; it is quote-only, based on invoice volume and modules. A documented twelve-month AWS Marketplace contract is $25,000 (about $2,083 a month). Best fit is at 1,000+ invoices a month per entity; below that, lighter tools are cheaper.

Billing mechanics

Custom pricing scaled by invoice volume and the modules selected (AP and invoice processing, approvals, payments, VicCard and expense management, analytics). Sales led, with multi-month procurement; an open API and common data model ingest master data from any ERP, and premium implementation partners help with setup. The economics reward high volume: per-invoice cost is described as falling from about $12 to under $2, so ROI concentrates at 1,000+ invoices a month.

Cost watchouts

No public pricing (multi-month procurement), significant implementation complexity/cost (often via premium partners), a high effective volume floor (~1,000 invoices/mo per entity - overkill and poor ROI below that), and a multi-week AI learning period before touch-free rates ramp

Variable cost rationale

Volume-driven - cost tracks monthly invoice throughput and module scope, so spend scales with AP volume (the per-invoice economics improve at higher volume, which is why it targets 1,000+ invoices/mo)

Additional watchouts

Poor ROI below about 1,000 invoices a month, where lighter tools fit better; opaque pricing and multi-month procurement; significant implementation complexity; QuickBooks and Xero are supported but are not the primary fit; edge-case invoices still need human review.

Overage / add-ons

Cost scales with monthly invoice volume and module scope; exceeding a contracted volume band or adding modules (payments/expense/analytics) is renegotiated; implementation is a separate (often significant) line item.

Sales call required

Yes, required for paid access

Lowest paid plan

Custom (no public list price; vendor's AWS Marketplace listing shows a $25K/yr contract example)

Commercial notes

Decision-making AI rather than OCR alone, trained on more than a billion invoices and template-free. Vic.ai cites straight-through processing above 90 percent, with independent pilots reporting about 78 to 80 percent touch-free; invoice cost is described as falling from about $12 to under $2, freeing roughly 3 to 6 hours a week per AP analyst. Aimed at mid-market and enterprise finance teams and CAS practices on NetSuite, Sage Intacct and Dynamics.

Key ambiguities

Vic.ai publishes no list pricing. The only concrete public figure is its own AWS Marketplace listing, a $25,000 twelve-month contract, which is limited in scope. Free-trial availability is reported inconsistently by third parties; Vic.ai is demo and POC led with no self-serve trial.

Cancellation / refund

Annual contracts, quote-only (e.g., $25K/12-month AWS Marketplace); no self-serve free trial (demo/POC and implementation-partner onboarding); multi-month procurement typical

Support SLA / resale

Open API + common data model for any-ERP ingestion; first-class NetSuite/Sage Intacct/Dynamics integrations (SAP/Oracle/QuickBooks/Xero supported); premium implementation-partner network; available via AWS Marketplace; enterprise analytics across entities

Missing data

Vic.ai publishes no list pricing; the only public figure is a $25,000 twelve-month AWS Marketplace contract. Mid-market monthly and module pricing are quote-only, set by invoice volume and modules. Free-trial availability is reported inconsistently by third parties.

Agentic Index verified 2026-09-07

Official pricing page Docs

Related vendors

Alternatives to Vic.ai

The closest documented capability profiles to Vic.ai among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Alloy.ai8.0 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
Basis7.5 / 14Fuller documented coverage on Observability & Auditability
Byron8.5 / 14Adds documented Memory & State Persistence
Optimal Dynamics7.5 / 14Adds documented Testing, Debugging & Optimization
RegASK8.5 / 14Adds documented Deployment & Data Residency
Tabs8.5 / 14Fuller documented coverage on Observability & Auditability and APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Vic.ai with other vendors →Compare all enterprise operations agents →See where Vic.ai ranks →

Data confidence: high

Head to head

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