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Company AI Brain for Marketing

From market signal to campaign, publication, measurement, and improvement.

Connect research, content, campaigns, segments, channels, acquisition, attribution, experimentation, and customer response through one marketing intelligence cycle.

Tell us how your marketing team works

Company AI Brain for Marketing

In practice

Full Workflow Examples

End-to-end paths through Marketing — from signal to improvement, with human control where it matters.

  1. Signal
  2. Understand
  3. Recommend
  4. Approve
  5. Execute
  6. Monitor
  7. Learn
  8. Improve

  • 01

    Insight to campaign plan

    • Signal: A product update, market signal, audience question, or performance pattern suggests a campaign opportunity.
    • Understand: Brain collects approved product information, research, segments, past campaign results, and customer questions.
    • Recommend: Proposes a campaign brief with audience, channels, timing, message variations, and expected uncertainty.
    • Approve: Marketing owner updates or confirms the brief and scope before assets move toward publish.
    • Execute: Creates channel drafts, segment variations, and campaign assets for review.
    • Monitor: Tracks missing brand or product facts that still block a clean publish review.
    • Learn: Notes which inputs were weak or delayed in planning.
    • Improve: Tightens the next brief template with clearer evidence and segment prompts.
    InsightCollectBriefApproveDraftTighten

  • 02

    Approved campaign to live publish

    • Signal: Campaign assets are ready, including any brand-sensitive claims.
    • Understand: Brain checks brand rules, factual claims, sources, and publishing permissions.
    • Recommend: Flags sensitive or unsupported claims and routes what needs human review before go-live.
    • Approve: Marketing owner updates or confirms the publish package. Significant brand or reputational risk always routes to a person first.
    • Execute: Publishes or schedules approved content across the selected channels.
    • Monitor: Tracks delivery, engagement, conversion, and early attribution issues.
    • Learn: Captures what blocked publish or needed last-minute edits.
    • Improve: Updates claim checks and approval prompts for the next sensitive publish.
    CheckFlagApprovePublishMonitorUpdate checks

  • 03

    Results to next experiment

    • Signal: A campaign or channel underperforms, outperforms, or finishes its planned window.
    • Understand: Brain compares audience, creative, channel, and conversion factors against plan and prior results.
    • Recommend: Explains what changed and proposes the next experiment or campaign action with expected impact and uncertainty.
    • Approve: Marketing owner updates or confirms the next experiment, or a stop / continue decision.
    • Execute: Creates the approved experiment or next campaign action, and routes qualified leads or signals to Sales and other correct teams.
    • Monitor: Tracks experiment results and whether attribution problems persist.
    • Learn: Groups what worked, what failed, and which evidence was missing.
    • Improve: Feeds those findings into the next campaign plan.
    ResultsExplainRecommendApproveExperimentFeed forward

Intelligence becomes valuable when it improves what happens next.

The Department Cycle

Know. Decide.
Act. Trust.

Every workflow in Marketing runs through a complete intelligence cycle, from signal to improvement, with human control where it matters.

  • Know

    • Monitor market signals
    • Organise customer research
    • Analyse campaign performance
    • Understand audience segments
    • Track content and channel results
    • Identify acquisition patterns
    • Surface customer questions
    • Connect marketing activity to product use and revenue
    • Retrieve approved brand and product information

  • Decide

    • Recommend campaign opportunities
    • Prioritise segments
    • Suggest channel and timing
    • Recommend message variations
    • Identify content worth repurposing
    • Suggest experiments
    • Flag attribution problems
    • Identify underperforming campaigns
    • Recommend the next campaign based on results

  • Act

    • Prepare campaign briefs
    • Create email, web, social, community, and product communication
    • Create segment-specific variations
    • Prepare landing page content
    • Create campaign assets for review
    • Request human approval
    • Publish approved content
    • Schedule approved campaigns
    • Create approved experiments
    • Monitor responses
    • Route leads to Sales and other teams
    • Prepare result summaries
    • Create the next recommended action

  • Trust

    • Apply brand and messaging rules
    • Require approval for sensitive campaigns
    • Confirm factual claims
    • Show the source of customer evidence
    • Apply publishing permissions
    • Maintain content history
    • Prevent publishing when required information is missing
    • Allow editing, rejection, pause, and rollback
    • Escalate significant brand or reputational risk

Categories only

Systems Connected

  • Campaign systems
  • Email systems
  • Content management systems
  • Social publishing systems
  • Community systems
  • Customer systems
  • Analytics systems
  • Product systems
  • Research repositories
  • Documents
  • Design systems
  • Databases
  • Revenue systems