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Reporting

We set up your team to report with AI agents, accurately.

Your ads, analytics and CRM feed one data model, so Claude, ChatGPT or your own agents draft reports from the same certified numbers, and a person approves what reaches a client.

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Agents

  • Claude“Draft the March client report”
  • ChatGPT“Why did leads drop last week?”
  • Cursor“Add a pacing alert for Search”
  • Your own agents“Schedule Friday’s deck for the client”

Each agent pulls the same modeled numbers

MavenOne data model: certified metrics, definitions and context

Your sources

  • Google Ads
  • Facebook Ads
  • GA4
  • HubSpot
  • Salesforce

What we do

Everything an agent needs to report accurately.

Accurate data, modeled metrics and connected AI tools, so agents draft from the same certified numbers your team checks.

  1. Accurate data underneath

    We audit and fix your tracking and connect your ad, analytics, CRM and revenue sources, so agents start from numbers that are counted once.

  2. Modeled metrics and context

    We certify your metric definitions and keep KPIs, decisions and brand guidance with the data, so every AI tool answers with the same background.

  3. Your AI tools connected

    We connect Claude, ChatGPT, Cursor or your own agents to Maven with OAuth sign-in or scoped API keys, with one workspace per client.

  4. Reports, decks and delivery

    We set up reusable certified templates, so agents draft reports and decks from modeled data, verify them, and publish only after a person approves. Scheduled email and a branded client portal handle delivery.

  5. Your team enabled

    We walk your team through asking, reviewing and approving, and write down the templates and approval steps they use.

Tools

Sources and reporting tools we connect.

We connect the sources and reporting tools your team already uses.

Sources

Reporting

Proof

Accurate reporting foundations for agencies and in-house teams.

Results from the agencies and teams we set this up for.

Financial marketing agency80%Less manual reporting across 19 banking clients, with advertising connected to funded-account outcomes.Read the case study Franchise marketing agency10Brands on one reporting system, with white-labeled self-service reporting for each client.Read the case study Healthcare marketing team7Live form paths standardized, with self-service reporting in Maven for sales-process and advertising decisions.Read the case study

FAQ

Questions about agentic reporting.

What teams ask before reporting with AI agents.

What is agentic reporting?
Reporting where AI agents do the assembly: they pull modeled numbers, draft the report or deck, check it, and schedule delivery, while your team sets the definitions and approves what is published.
Which AI tools work with it?
Claude, including Team and Enterprise, ChatGPT, Cursor, and your own agents or internal tools, through Maven’s remote MCP server with OAuth sign-in or a scoped API key.
Can an agent publish a report without review?
No. Publishing a report is prepared first and runs only after a person approves it.
Where do the numbers come from?
Modeled metrics and your certified definitions, with the date range and sources attached. Maven checks each platform’s freshness before you read current results.
Can clients see reports under our brand?
Yes. Reports and dashboards publish to a portal on your own subdomain or custom domain, with client logins and multi-factor sign-in.
Does it work across many clients?
Yes. Each client’s data, users and definitions live in their own workspace. With cross-client reporting turned on, one report can bring results together across client workspaces.
What can an AI tool see?
OAuth scopes or API keys decide what each connection can read or change, and custom-field values come back with personal data masked.

Find what your tracking misses in about 10 seconds.

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