growthcontrol Plan your AI connection

Give your AI agent superpowers.

Your marketing and sales infrastructure. Now in the conversation.

We configure the data, workflows, and MCP connection around your business. Give your AI the customer context, combined data, and tools to move work forward—with the permissions you set.

Plan your AI connection See what you can ask
ClaudeCodexMCP-compatible apps
Your AI + Growth ControlIllustrative connection

“Which ads bring customers who actually pay?”

One question, connected evidenceAdvertising, CRM, calls and email, and payment data connect to a Growth Control context hub. The AI can use that context to prepare a proposal for review.AdsCRMCalls & emailPaymentsGrowthControlContext → proposed action
Follow the money back to the campaign.

Read spend, matched deals, and confirmed payments together. Prepare the next move for review.

Example only · availability depends on your configured connections

Keep the AI you use.Work from a compatible client, with a connection configured for your deployment.

Give it the business context.Connect product knowledge and customer history to acquisition and sales outcomes.

Choose what it can do.Set access, approval rules, and the people responsible for each action.

Ask for an outcome.
Get a way forward.

A useful agent can investigate the evidence, explain its reasoning, and prepare the next action. Choose a request to see how that can work.

Illustrative examples with fictional data. These controls only change the preview; they never access accounts or execute operations.

Growth Control contextIllustrative result

Connect ad spend to confirmed payments.

Evidence to examine
Advertising
Search campaign: $2,400 spent in the selected period.
CRM
12 matched inquiries → 5 qualified → 3 signed deals.
Payments
2 of those deals have confirmed payments totaling $8,600.
Proposed next action

Review the search terms behind the paid deals. Prepare a small budget reallocation for review, with the attribution gaps and payment timing shown alongside it.

Campaign change waits for approval

Hunter prepares the change. Your authorized reviewer confirms the amount, scope, and timing before it is applied.

Growth Control MCP + Hunter MCP

Upgrade your AI harness.
Buy back your time.

Spend tokens on decisions, not rebuilding the plumbing.

You can build the connections yourself. That means designing adapters, joining customer records, wiring up workflows, and debugging the whole path before your agent can help with the business.

There is work beyond the code, too. Depending on the platform, you may need to set up business and developer accounts, accept platform terms, authorize access, complete business verification and app reviews, and meet compliance requirements. Preparing documentation, responding to review requests, and waiting for approvals all add time to the launch.

Growth Control gives your Claude or Codex setup an implemented infrastructure foundation. Put your development time and AI usage toward the questions, decisions, and custom work that matter to you.

  • Start from a connected marketing and sales architecture.
  • Adapt the data and workflows to your business.
  • Keep control of the foundation as your needs change.

Choose the tradeoff that fits your business. Implementation, hosting, provider subscriptions, and AI usage still have costs. Integrations need validation and maintenance. The value is a working foundation built for your scope, with less of the same groundwork to recreate.

One business context.
Four MCP modules.

Growth Control joins the information behind your revenue process. Each module gives your AI a focused set of data and tools, configured for your business.

  • Advertising
  • CRM
  • Business phone
  • Email
  • Quotes & payments

Your data. Connected and owned.

Customer records, activity history, product knowledge, and commercial outcomes—brought together through configured adapters.

The shared viewGrowth Control

The unified control panel across marketing and sales. Connect the question to the records behind the answer.

  • Combined reporting
  • Customer & deal context
  • Cross-module insights

AcquisitionHunter

Research the market, shape a strategy, and prepare advertising work with human review at the action step.

  • Research & strategy
  • Campaigns & experiments
  • Approved ad changes

OutreachMarco

Find and research prospects, prepare the sending infrastructure, and carry outreach through to a CRM handoff.

  • Prospect enrichment
  • Sequences & follow-ups
  • Replies & sales handoff

Social & channelsOscar

Understand channel performance, explore content questions, and support channel operations and conversations.

  • Social & channel analytics
  • Supported channel actions
  • Conversation context

Your AI client connects through MCP.

MCP is the connection that lets Claude, Codex, or another compatible app use approved data and tools in your deployment. Each client and provider has its own access requirements; available operations are verified during setup.

Make the connection.
Set the boundaries.

Start with a useful business question. Configure the data, the tools, and the rules that make the answer actionable.

  1. Map your business.

    Choose the first workflow, your existing tools, and the customer and product knowledge the agent needs. Check the data quality and available access.

  2. Configure the connection.

    Connect a supported AI client to the MCP modules in your deployment. Give it the data and tools needed for the agreed scope.

  3. Test, approve, then operate.

    Validate a real question against the source records. Test the proposed actions, name the approvers, and agree what can run within your rules.

Paid campaigns, sends, and commercial changes follow the approval rules configured for your deployment.

Your business.
Your control.

Self-hosted marketing and sales infrastructure, an open-source CRM foundation, owned data, and adapters that can evolve with your business.

Explore the data architecture
Where does my business data live?

Growth Control is designed around a self-hosted deployment and data stores you control. The setup defines hosting, backups, retention, and exports. Connected platforms may also keep their own copies. Data sent to an AI provider follows that provider’s terms and your chosen configuration.

Can the AI change things on its own?

Access and actions are configured explicitly. The agreed rules define what the agent can read, what it can prepare, and what needs approval. Paid campaign changes, outbound sends, pricing, and other commercial actions follow those rules. Routine automation can operate within approved boundaries.

Can I use the AI client I already have?

We can connect MCP-compatible clients such as Claude or Codex, subject to the client’s supported connection and authentication options. We verify support in your chosen client, its plan and workspace policies, and the authentication your deployment requires. The exact setup is configured as part of the project.

Will it work with my existing tools?

We review the tools and data you use, then configure supported APIs, webhooks, connectors, or imports. Custom adapters can be part of the project. A service appearing in a workflow example does not mean every operation is available or already connected.

What happens when the data is incomplete?

The workflow should surface missing matches, stale records, and uncertain conclusions before a decision. A lead, a signed agreement, and a confirmed payment remain separate facts. During setup, we validate answers against source records and define when the agent must ask for review.

Give your next conversation some real capability.

Bring one marketing or sales question. We’ll map the data, the MCP modules, and the approved actions your AI needs to help.

Plan your AI connection Explore the demo
A 30-minute conversation with Yaro about your tools and first workflow.
Yaro Korets · Los Angeles
hello@korets.net