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Use cases

All premade agents Sales & GTM Shopify stores Customer support Finance & billing Marketing & growth Engineering teams

Enterprise

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Enterprise · Growth analytics

Know why the number moved. And what to do about it this week.

Dashboards show that conversion dropped. They don't say which segment, page or source caused it, or whether last month's fix worked. AgentWorks agents investigate, recommend and check the result.

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  • 01
    Drops get noticed, not explainedSomeone spends two days slicing data every time a number moves.
  • 02
    Experiments don't closeChanges ship, and nobody checks whether the KPI actually improved.
  • 03
    AI search is a blind spotYou don't know whether ChatGPT or Perplexity recommend you or your competitors.

Example goal

Signup-to-paid conversion

Primary metricConversion rate
4.1%

from 3.4%, target 4.5%. Illustrative numbers.

How it works

Agents own the goal. You own the approvals.

  1. Connect the data

    Traffic, product, billing and feedback data are joined with customer identity and quality checks.

  2. Investigate

    Conversion changes are attributed to the segment, page, device or source, with session evidence.

  3. Recommend

    Findings become prioritized experiments with pre-registered targets and tracked actions.

  4. Verify

    After a change ships, the KPI is read out with a verdict: it worked, it didn't, or it needs more time.

Playbooks

Ready to install. Tuned to your stack.

Each playbook sets up the goal, the tools, the evidence to keep and the questions agents should ask your team. They are open source and versioned, and we tune them to your environment during the pilot.

  • Growth Data Foundation
  • Funnel and Conversion Intelligence
  • Activation and Retention Intelligence
  • Growth Experimentation and Follow-Through
  • SEO Intelligence
  • AI Visibility Intelligence

Built for your security review

Runs in your cloud. Every action on the record.

  • Self-hosted

    Deployed in your cloud account or data center. Evidence stays in your environment.

  • Approvals

    Anything that changes production or reaches people waits for approval by default.

  • Audit trail

    Every run, tool call, decision and cost is recorded per workflow.

  • Your models

    Your enterprise Claude, ChatGPT or Gemini agreements, or private endpoints.

  • Scoped access

    Tools, folders and secrets are granted per workflow, inside an OS-enforced sandbox.

  • SSO and roles

    Sign-in through your identity provider, with roles and per-workflow access.

FAQ

Questions, answered.

Which analytics tools does it work with?

Product analytics, billing, CRM and search tools your team already uses, through APIs, MCP servers or its own browser.

Does it make changes to the product?

No. It recommends and tracks actions in your tools; your team decides what ships.

How is this different from a BI dashboard?

A dashboard shows the number. The agents own a goal: they investigate, propose, and check whether the change worked.

More use cases

Other goals agents can own.

Release qualityAI QA that writes, runs and repairs your browser tests.Incident responseFirst RCA before the war room fills up.Security testingAuthorized AppSec and permission testing, driven to closure.Cloud costFind cost anomalies and prove the savings.

Pick the goal. We'll prove it in four weeks.

A scoped pilot on one goal, in your environment, with the success metric agreed up front.

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