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What is Vicaro?
Vicaro is an AI platform for creating autonomous virtual employees for business teams: agents that do not just answer questions but finish whole tasks inside the tools you already use. It is aimed at growing companies and large organizations that want to hand off repetitive sales, finance, operations or support work while keeping control over what each agent may do.
What is Vicaro used for?
Vicaro runs everything around the AI model: a workspace with an isolated computer for running code, a cloud browser for sites without an API, file handling, and participation in calls and meetings. Examples on its site include reconciling invoices against purchase orders, enriching leads in Salesforce, updating deals in HubSpot and preparing the agenda for a management meeting.
How does Vicaro work?
Each employee has long-term memory, picks the right model for each step from the ones you allow, splits work across subagents and schedules recurring tasks. It connects to thousands of apps, to MCP servers and to any custom API, and it answers through Slack, Microsoft Teams, email, phone, SMS or voice. Before it acts, execution policies can allow, warn, ask for approval or deny, and every action is written to an audit trail.
Who is Vicaro for?
- Sales teams that want a virtual SDR or lead verification and enrichment.
- Finance and operations teams that reconcile documents or chase overdue payments.
- Security leads who require budgets, encrypted secrets and traceability.
- Management teams that want to start with one role and grow to dozens of agents.
Vicaro pros and cons
It stands out for its governance controls: a budget per employee, approvals and a complete record, plus no training on your data according to its site. On the downside, access is requested by application or demo rather than instant sign-up, and results depend on the tools and permissions you grant each agent.
Vicaro features and use cases
How to use Vicaro
Vicaro FAQ
What is Vicaro?
Vicaro is an AI platform that creates autonomous virtual employees able to work in your tools and channels within the rules you set.
Is Vicaro free?
It has no free level: you pay per compute credit, with the rates and commitments laid out in the pricing section.
What tools does Vicaro integrate with?
The site mentions thousands of apps such as Slack, Salesforce, HubSpot, Google Drive or SharePoint, plus MCP servers and custom APIs.
Which channels does a Vicaro employee work in?
It can work through Slack, Microsoft Teams, email, phone, SMS and voice, including taking part in calls and meetings.
Can I control what each agent does?
Yes, policies can allow, warn, ask for approval or deny actions, and each employee has its own budget and audit trail.
Does Vicaro train models on my data?
According to its site, no training happens on your data and you control provider and model, though you should read its terms for your case.
How do I start using Vicaro?
Access is requested from the site or through a demo, and it recommends starting with one role and one real task.
Can Vicaro run in my own cloud?
The site says the platform is managed in its cloud or yours, and its FAQ asks about using your own cloud or model keys.
What are the alternatives to Vicaro?
On GptZone you can compare Vicaro with agent platforms such as Lindy or Relevance AI.
Vicaro pricing and plans
Reference price: 2 USD · usage based. Source · Verified: November 14, 2026
Prices in US dollars (USD) from the official site. Checked on: 14/11/2026.
You pay for work done through shared credits: 1 credit equals $1 of compute (models, browsers, sandboxes and web tools).
On-Demand: $2.00 per credit, no minimum commitment; top-up credits never expire.
Growth: $1.90 per credit with a $3,000 monthly commitment (about 1,579 credits a month).
Scale: $1.80 per credit with $6,000 a month (about 3,333 credits).
Scale Plus: $1.70 per credit with $9,000 a month (about 5,294 credits).
- All levels are month to month with no annual commitment. The commitment levels add a shared Slack channel and volume discounts of 10 to 15%.
Vicaro Screenshots


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