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Media and marketing AI agent operations

Campaign performance, content pipeline, audience data and brand review

Start workflowSee the platform workflow
Operational layers in view
Campaign metricsContent pipelineAudience segmentsBrand rulesApproval queue
Audience Insight Agent
Content Agent
Performance Agent
Brand Compliance Agent
Localisation Agent
Reporting Agent

Node activity below is a demonstration using sample media and marketing data.

Ask the live agents

Describe the problem in your own words. We classify the industry, assign specialist agents, and you watch the workflow run and produce the visual deliverables — maps, dashboards, charts, tables and reports — instead of one block of text.

Demo mode uses clearly labelled sample data — never presented as verified.

Assigned specialists

Media and marketing

  • Audience Insight Agent
  • Content Agent
  • Performance Agent
  • Brand Compliance Agent
  • Localisation Agent
  • Reporting Agent

Deliverables planned

Dashboard
Charts
Timeline
Data tables

Pauses for human approval

Client approval

Workflow the run follows
  1. 1. User request
  2. 2. Requirement validation
  3. 3. Industry classification
  4. 4. Specialist agent selection
  5. 5. Data and file collection
  6. 6. Tool authorisation
  7. 7. Execution plan
  8. 8. Multi-agent collaboration
  9. 9. Analysis or generation
  10. 10. Quality validation
  11. 11. Human approval
  12. 12. Visual deliverables
  13. 13. Monitoring and audit
Demo

Media and marketing AI agent operations centre

Workflow: Campaign data received → Monitor results · Run pending · started — · elapsed 0s

Sign in for live mode

Active agents

0

Tasks running

0

Completed steps

0/9

Tool calls

0

Human approvals

1

Warnings

0

Success rate

0%

Est. completion

36s

Active agents

Audience Insight Agent

Pending

Builds segments and identifies responsive cohorts

Tool: Content generator · Source: Campaign analytics

Content Agent

Pending

Drafts channel-ready copy and variants

Tool: Content generator · Source: Campaign analytics

Performance Agent

Pending

Attributes results and proposes budget shifts

Tool: Content generator · Source: Campaign analytics

Brand Compliance Agent

Pending

Checks tone, claims and legal constraints

Tool: Content generator · Source: Campaign analytics

Workflow canvas

Live activity stream

No activity yet. Start the demo run to watch media and marketing agents work through the workflow with sample data.

Demonstration using sample data — no real client operation is shown. Sign in and connect an approved AI provider and authorised industry data source to activate live execution.

Media and marketing specialist agents

Each agent owns one step of the workflow, with its own tools, inputs and approval level.

Autonomous

Audience Insight Agent

Builds segments and identifies responsive cohorts

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder
Autonomous

Content Agent

Drafts channel-ready copy and variants

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder
Review advised

Performance Agent

Attributes results and proposes budget shifts

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder
Approval required

Brand Compliance Agent

Checks tone, claims and legal constraints

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder
Autonomous

Localisation Agent

Adapts content to market and language

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder
Autonomous

Reporting Agent

Produces the client performance pack

Inputs:
Campaign analytics, Content library, Audience and CRM segments
Tools:
Content generator, Performance analyser, Segment builder

Solution blueprint

Operational context

Industry challenges

  • Operational data for media and marketing is spread across disconnected systems
  • Analysis-heavy work is repeated manually every cycle
  • Risks and exceptions are found late
  • Reporting and audit overhead grows with volume
Discuss this for media and marketing
Solution patterns

Recommended AI solutions

  • Specialist agents that own one step of the workflow each
  • Grounded retrieval over your permitted systems only
  • Predictive scoring with explainable reasons
  • Approval-gated execution into your systems of record
Discuss this for media and marketing
Governance controls

Security and compliance

  • Row-level security scopes every read to the requesting organisation
  • Retrieval is limited to documents the user may already open
  • Every agent action, tool call and approval is written to the audit log
  • Sensitive steps pause until a named human approves them
Discuss this for media and marketing

Inputs, integrations and outputs

Inputs

  • • Campaign analytics
  • • Content library
  • • Audience and CRM segments
  • • Brand guidelines

Integrations

  • • Ad platforms
  • • CMS
  • • CRM
  • • Analytics

Outputs

  • • Performance pack (PDF, CSV)
  • • Content variant set (CSV, JSON)
  • • Campaign dashboard (Dashboard)

Business outcomes to baseline and measure

Analysis cycle time

Target and measurement method agreed during discovery.

Manual review effort

Target and measurement method agreed during discovery.

Decision auditability

Target and measurement method agreed during discovery.

Earlier risk detection

Target and measurement method agreed during discovery.

No performance result is promised before a baseline is measured. Targets are agreed for each engagement and reported against real delivery data.

How This AI Agent Works

The process the media and marketing agent team follows, from trigger to approved deliverable.

Campaign production workflow

From a campaign brief to brand-checked, manager-approved content.

Workflow preview

Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.

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Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.

72%
Workflow summary as a text list
  1. 1. Campaign brief: Trigger. A marketer submits objective, audience and channel constraints.
  2. 2. Audience research: Approved tool. Read approved analytics and segment definitions.
  3. 3. Channel selection: AI agent. Recommend channels and cadence with reasons for each.
  4. 4. Generate content: AI agent. Draft copy variants and asset briefs for the selected channels.
  5. 5. Brand and compliance check: Validation. Screen claims, tone and required disclaimers.
  6. 6. Manager approval: Human approval. A marketing manager approves before anything is published. Human approval required.
  7. 7. Publish approved assets: Action. Hand approved content to the connected channel or export it.
  8. 8. Campaign package: Output. Calendar, copy variants and performance plan.
  9. 9. Track performance: Monitoring. Follow reach and engagement against the plan.

Approval gate: Manager approval. Deliverable: Report.

Workflow audit for this page
Structure only. Run a demonstration to include events.
Workflow audit: template identifier, node count, approval node, output type, available execution modes and mobile test status.
Template IDNodesApproval nodeOutput typePreviewDemoLiveMobile test
marketing-agent9Yes. Policy: alwaysReportAvailableAvailable (signed in)Available via Studio · requires ai_provider
Verified at 390px

Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.

Relevant case study

Illustrative case study

Wastewater network GIS for a national water utility

A wastewater network needed utility-GIS structuring, mapping and quality-controlled network intelligence for daily operations.

View all case studies

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