Variabl MCP,
powered by {Vai}.

Connect Variabl to your company’s AI environment, powered by Claude, OpenAI models, or other compatible platforms. Investigate your sales compensation setup, then analyze the results alongside other company information.

Request an MCP demo.

This field is for validation purposes and should be left unchanged.
Lilt
BRKR
NetNumber

Explore the setup. Examine the data. Understand the impact.

Vai in Variabl helps you understand your sales compensation program inside the application. Variabl MCP makes the same investigation capability available to your company’s internal AI workflows, so the answers can sit next to revenue, pipeline, and budget data.

Investigate differences across periods, plans, or groups, then follow up on individual steps.

“Commission expense increased between these two periods. What were the main contributors?”
Claude chat using Variabl MCP to explain why commissions changed between September and October

Investigate the rules and conditions behind your plans, and ask Vai how a setting affects a result.

“Explain how this plan calculates commission, including tiers, eligibility, and payment requirements.”
ChatGPT chat using Variabl MCP to explain how a commission plan calculates tiers, eligibility, and payment

Describe your intended policy, and Vai checks the relevant configuration and records against it.

“Commissions should stay on hold until the invoice is paid. Does the treatment of these transactions match?”
Claude chat using Variabl MCP to check commission holds against an invoice-paid policy

See which records and fields drive a result, and how data from your CRM and other systems is used.

“These transactions were excluded from commission. Which fields or conditions explain why?”
ChatGPT chat using Variabl MCP to explain which fields excluded transactions from commission

Combine Vai’s findings with revenue, budget, or other financial data in your AI environment.

“Compare commission expense as a percentage of revenue by quarter and highlight the largest changes.”
Claude chat using Variabl MCP to compare commission expense as a percentage of revenue by quarter
Claude chat using Variabl MCP to explain why commissions changed between September and October ChatGPT chat using Variabl MCP to explain how a commission plan calculates tiers, eligibility, and payment Claude chat using Variabl MCP to check commission holds against an invoice-paid policy ChatGPT chat using Variabl MCP to explain which fields excluded transactions from commission Claude chat using Variabl MCP to compare commission expense as a percentage of revenue by quarter

Connected capabilities.
Broader context.

MCP gives your company’s AI applications a standard way to use the investigation tools Variabl makes available. Vai examines the relevant plans, configuration, records, and results. Your AI environment combines those findings with your other authorized sources.

Salesforce
HubSpot
NetSuite
PostgreSQL
OneBill
Acculynx
Namely
Zoho
Lilt
BRKR
NetNumber
Variabl has been a game-changer for us. What used to take days now takes less than ten minutes. It’s streamlined our process, reduced errors, and made my job so much easier.
Sarah Frongillo Senior Account at Netnumber

  1. 01

    Connect your AI environment

    An authorized Variabl owner or administrator approves a compatible MCP connection. Other company sources, such as your finance system or CRM, connect separately with their own permissions.

  2. 02

    Ask your question

    Ask about a plan, process, data issue, or result. For broader analysis, name the other sources or files to include.

  3. 03

    Vai investigates

    The connected AI application passes the question to Vai, which examines the relevant information in your Variabl organization. Investigations typically take several minutes.

  4. 04

    Bring in the wider context

    The AI application retrieves Vai’s explanation and any supporting files, then uses them alongside other company information.

Variabl MCP FAQ

MCP, short for Model Context Protocol, is an open standard that connects AI applications to business systems and the tools they provide. Companies use AI environments powered by models from providers such as Anthropic and OpenAI to work with internal information. MCP gives those environments a standard way to use capabilities inside business applications.

It gives your AI environment access to Vai’s sales compensation investigator. Through a compatible MCP client, your AI environment can request investigations and retrieve explanations and supporting files. Combined with other authorized company sources, those findings feed into broader business analysis.

Vai inside Variabl answers sales compensation questions within the application. Variabl MCP lets your company’s own AI tools ask Vai the same questions, then combine the answers with revenue, pipeline, budget, and other data you’ve connected.

Applications powered by Claude, OpenAI models, or other models that support a compatible MCP implementation. Contact Variabl to check compatibility with your AI environment.

An authorized Variabl owner or administrator approves the connection. Other company sources, such as your finance system or CRM, connect separately with their own permissions.

Only the sources your company has authorized and connected. Vai covers the sales compensation side, and your AI environment combines its findings with the other sources it can access.

Investigations typically take several minutes. Some may need more information or help from Variabl support.

Variabl MCP is available to participating organizations. Contact Variabl to discuss availability, compatibility with your AI environment, and setup.

See Variabl MCP in action

Request an MCP demo