AOS
Workflow examples

Three archetype workflows running through the architecture.

Each example shows a real archetype workflow running through AOS end to end. Agents perform the tasks. The engine layers do the work. Outputs reach the client. Learned intelligence feeds back. The home page gives the taste; this page gives the full story.

AcquisitionWorkflow: Acquisition CampaignType: Cadence (loops)

Acquisition

What this archetype delivers

Turn prospects into customers through targeted campaigns that identify, reach, and convert new audiences.

Architecture path
Acquisition
Retention / Loyalty
Brand Building
Media Optimization
Content Production & Distribution
Campaign Execution
Event Activation
Measurement & Analytics
Context
B2B / B2CB2C
IndustryRetail
GeographyNorth America
Company SizeEnterprise
Workflow
Task
Output
AOS Operating Layer
AOS Intelligence Layer

The Acquisition archetype highlighted in the top row. The Context Layer bar shows the sample engagement context. The workflow runs through tasks performed by agents, all on the engine layers below.

Task list
  1. 1
    Market Research

    Analyze market trends, competitive landscape, and whitespace opportunities to identify acquisition targets.

  2. 2
    Audience Segmentation

    Define and describe target audience segments based on demographics, psychographics, and behavioral signals.

  3. 3
    Strategic Brief

    Synthesize research and audience insights into a campaign brief with objectives, messaging direction, and success criteria.

  4. 4
    Channel Strategy

    Determine the optimal channel mix to reach target segments and allocate budget across paid, owned, and earned.

  5. 5
    Media Planning

    Build the media plan with flight dates, placements, formats, and spend allocation by channel and segment.

  6. 6
    Creative Development

    Produce creative assets across formats, guided by the brief and optimized for each channel.

  7. 7
    Campaign Deployment

    Configure, schedule, and launch the campaign across all channels.

  8. 8
    Performance Monitoring

    Track live performance against KPIs and flag anomalies in real time.

  9. 9
    Optimization

    Adjust targeting, creative, and spend allocation based on performance data to improve results mid-flight.

  10. 10
    Reporting & Insights

    Analyze campaign results, extract actionable insights, and feed learnings back into the Intelligence Layer.

Loop question

This workflow loops. Each run produces performance data and audience insights that feed back into the Intelligence Layer. On the next run, Market Research starts with richer competitive data, Audience Segmentation draws from prior conversion patterns, and Optimization has a baseline to beat. Targeting sharpens over time.

Media OptimizationWorkflow: Media Optimization ProgramType: Cadence (loops)

Media Optimization

What this archetype delivers

Maximize the return on media investment through continuous analysis, modeling, and reallocation of spend across channels.

Architecture path
Acquisition
Retention / Loyalty
Brand Building
Media Optimization
Content Production & Distribution
Campaign Execution
Event Activation
Measurement & Analytics
Context
B2B / B2CB2C
IndustryFinancial Services
GeographyGlobal
Company SizeEnterprise
Workflow
Task
Output
AOS Operating Layer
AOS Intelligence Layer

The Media Optimization archetype highlighted in the top row. The Context Layer bar shows the sample engagement context. The workflow runs through tasks performed by agents, all on the engine layers below.

Task list
  1. 1
    Performance Analysis

    Assess current media performance across all channels, formats, and placements against benchmarks.

  2. 2
    Audience Modeling

    Build or refine audience models to improve targeting precision and reduce wasted spend.

  3. 3
    Media Mix Modeling

    Run marketing mix models (GMMM) to quantify channel contribution and identify reallocation opportunities.

  4. 4
    Simulation & Scenario Planning

    Simulate alternative spend allocations and forecast outcomes before committing budget.

  5. 5
    Media Plan Revision

    Update the media plan with optimized allocations, placements, and flight adjustments.

  6. 6
    Buying & Activation

    Execute the revised media buys across programmatic, direct, and social platforms.

  7. 7
    Real-Time Monitoring

    Track live campaign performance and flag underperformance for immediate intervention.

  8. 8
    Optimization Execution

    Make in-flight adjustments to bids, targeting, creative rotation, and budget allocation.

  9. 9
    Reporting & Insights

    Analyze lift, efficiency, and ROI; feed validated learnings back into the Intelligence Layer.

Loop question

This workflow loops. It is the archetype that most visibly compounds. Each run draws from richer performance data and prior GMMM modeling results. Media Mix Modeling improves because the model has more data. Simulation & Scenario Planning gets more accurate because prior forecasts can be compared to actual outcomes. The gap between predicted and actual narrows with every cycle.

Retention / LoyaltyWorkflow: Retention ProgramType: Cadence (loops)

Retention / Loyalty

What this archetype delivers

Keep existing customers engaged and reduce churn through personalized lifecycle programs that deepen the relationship over time.

Architecture path
Acquisition
Retention / Loyalty
Brand Building
Media Optimization
Content Production & Distribution
Campaign Execution
Event Activation
Measurement & Analytics
Context
B2B / B2CB2C
IndustrySubscription
GeographyNorth America
Company SizeMid-Market
Workflow
Task
Output
AOS Operating Layer
AOS Intelligence Layer

The Retention / Loyalty archetype highlighted in the top row. The Context Layer bar shows the sample engagement context. The workflow runs through tasks performed by agents, all on the engine layers below.

Task list
  1. 1
    Customer Analysis

    Assess the existing customer base to identify churn risk, engagement patterns, and high-value segments.

  2. 2
    Segmentation & Targeting

    Group customers by lifecycle stage, value tier, and behavioral triggers for personalized treatment.

  3. 3
    Journey Design

    Map the end-to-end customer journey with touchpoints, triggers, and decision logic for automated nurture paths.

  4. 4
    CRM Configuration

    Set up the CRM workflows, triggers, and rules that execute the journey design.

  5. 5
    Content Development

    Create personalized content for each journey stage, segment, and channel.

  6. 6
    Deployment

    Launch lifecycle programs across email, SMS, push, and owned channels.

  7. 7
    Performance Monitoring

    Track retention metrics (churn rate, LTV, engagement scores) and flag degradation.

  8. 8
    Optimization

    Refine journey logic, content, and timing based on performance data.

  9. 9
    Reporting & Insights

    Analyze program impact on retention and lifetime value; feed learnings back into the Intelligence Layer.

Loop question

This workflow loops. Each run produces retention data, churn signals, and engagement patterns that feed back into the Intelligence Layer. On the next run, Customer Analysis starts with richer behavioral data, Journey Design incorporates what worked and what did not, and Segmentation & Targeting refines who gets which treatment. Retention insights also feed back into Acquisition through Cross-Workflow Coordination, improving targeting for new customers who resemble the most retainable existing ones.