AI AgentMarketing Agent
Marketing Agent that automates marketing workflows using your data and tools.
The challenge
A campaign brief turns into weeks of drafting, resizing and localising before anything ships, so only one or two variants are ever tested. Claims drift from what legal approved, brand review sends work back late, and the message that actually won is rarely fed into the next campaign.
The outcome
Azure AI Search grounds the copy in approved brand guidelines and proof points, Azure OpenAI generates channel-native variants and localisations, and Azure AI Content Safety enforces claim and accessibility rules. A marketer approves before anything publishes, and the winning variant feeds back into the playbook.
At a glance
- Type
- ai agents
- Category
- business
01 — Architecture
End-to-end architecture
A brief and the brand system are loaded from SharePoint and the creative library, grounded against approved proof points, and turned into channel-native variants by the Foundry agent. Content Safety enforces brand, claim and accessibility rules before a named marketer approves and the campaign is scheduled.
- Audience: Audience / Segment
- Brief & assets: SharePoint / Teams, Azure Blob Storage
- Application: Azure API Management, Azure Container Apps
- AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
- Data & records: Azure SQL, Azure Cosmos DB, Azure Key Vault
- Publish & insight: Communication Services, Marketer approval, Power BI / Fabric
02 — Workflow
Process & decision workflow
How a brief becomes measured campaign output — ground, draft, adapt, check and measure, then branch. On-brand, cleared variants schedule and publish with a holdout for testing, while a new or regulated claim goes to a marketer and legal with the source evidence attached.
- Brief: Objective, audience, offer and channel captured
- Ground: Brand voice, proof points and prior winners loaded
- Draft: Channel-native copy and variants generated
- Adapt: Localised, resized and reformatted per channel
- Check: Brand, claim, accessibility and legal rules applied
- Measure: Delivery, engagement and conversion tracked
- Path 1 · on brand and cleared — Schedule and publish: Variants released with a holdout for testing
- Path 2 · new or regulated claim — Marketer and legal review: Draft, source and claim evidence presented
03 — Components
Key Microsoft components
Speed only helps if the output stays on brand and defensible — generation and governance both stay inside the Microsoft ecosystem.
SharePoint / Microsoft TeamsBriefs, brand system, approvals and campaign collaboration.
Azure Blob StorageCreative library, generated assets and campaign archives.
Azure API ManagementSecure gateway for channel, CRM and analytics APIs.
Azure Container AppsCampaign generation workers that scale with volume.
Microsoft Foundry Agent ServiceBrief interpretation, drafting and adaptation orchestration.
Azure OpenAI modelsCopy, variants, localisation and channel adaptation.
Azure AI SearchGrounding over brand guidelines, proof points and past winners.
Azure AI Content SafetyBrand, claim, tone and regulated-category guardrails.
Azure Communication ServicesEmail and SMS delivery with engagement tracking.
Azure Logic AppsApproval routing, scheduling and channel publishing.
Azure SQLCampaigns, variants, spend and performance records.
Azure Cosmos DBLive variant state, test assignment and holdouts.
Azure Key VaultChannel credentials and integration secrets.
Power BI / Microsoft FabricPerformance, spend and attribution dashboards.
04 — AI
What the agent consumes
The capabilities the agent applies to every campaign, and the line it does not cross.
AI capabilities embedded in the agent
- Audience segmentation
- Brief interpretation
- Retrieval-augmented generation
- Brand-voice adherence
- Multivariate copy generation
- Localisation
- Claim verification
- Accessibility checks
- Image and asset tagging
- Test design
- Performance attribution
- Workflow orchestration
AI responsibility boundaries
The agent drafts and adapts; a named marketer approves anything published and legal reviews every new or regulated claim. It uses only approved proof points and brand assets, never invents statistics or customer quotes, and respects consent, opt-out and advertising rules on every channel.
05 — Personalization
Personalization & evolving process
The same methodology applies to every agent in the catalog. Tune the audience, the campaign template, the brand rules and the value model — the page structure stays identical.
Audience & brand profile
Define the segments, regions, languages, tone of voice, brand system and regulated categories in scope. The personas are the campaign marketer, the brand owner, legal review and the performance analyst.
Campaign template
One consistent flow for every marketing agent: brief, ground, draft, adapt, check, approve, schedule, publish, measure and feed the winner back into the playbook.
Brand & claim rules
Declare the approved claims, proof points, prohibited language, accessibility standards and consent rules. A claim without an approved source never reaches a channel unreviewed.
Value model
Capture baseline metrics first, then map the expected benefits: time to campaign, asset production cost, variant coverage, engagement, conversion and rework from brand review.
06 — Impact
Key outcomes & business impact
Starting targets for the value case — validate each one against the customer baseline during discovery.
- Time to campaign−60%A grounded first draft exists the day the brief lands.
- Variant coverage5×More channel and audience variants tested per campaign.
- Brand rework−50%Guardrails catch off-brand and unproven claims before review.
- Claim traceability100%Every proof point links to its approved source.
Illustrative improvement index
Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.
- Time to campaign: manual baseline 100, AI-assisted target 40
- Production cost: manual baseline 100, AI-assisted target 45
- Brand rework: manual baseline 100, AI-assisted target 50
Related & recommended
Derived automatically from our solution knowledge graph.
Related AI agents
Other agents that pair well with this one.
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Related quick wins
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Technologies
What powers this solution.
TechnologyAzure AI Foundry
Platform to design, evaluate and operate AI apps and agents.
TechnologyAzure OpenAI
Enterprise access to GPT models with governance.
TechnologyAzure AI
Managed AI services for vision, speech, language and document.
TechnologyMicrosoft Copilot Studio
Low-code platform to build custom copilots and agents.
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Keep it running and optimised.
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ManagedFinOps / Cloud Cost Management (OpsNow)
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