Austin Marketo User Group: Ground Control 2 MOPS: AI-Ignite your Map

MoPros and MUGs are teaming up for a Texas-sized hybrid, harnessing the power of agentic AI to unlock data and speed inside your MOps stack.

On Thursday, October 16, 2025 (5:30–7:30 PM CT), Steve Nakata—our very own Rocketman—will present live to the Austin Adobe Marketo User Group and MOPros , showing how AI agents (ChatGPT, Claude, Gemini) can evaluate ICP fit, generate on-brand emails, orchestrate builds, and accelerate QA—with humans shipping at the speed of light.

Meanwhile, “in orbit,” the Dallas Adobe MUG and MOPros Chapter will host a watch party including networking, live stream, and a galactic discussion on how to roll these skills into your own tech stack.

We’ll cover how to connect agents to your MAP, quick-win use cases, and the guardrails that keep your instance safe.

1. T-minus 5
4
3
2
1
Launch!
Ground Control 2 MOPS: AI-gnite Your MAP
Exploring the New Frontier of Martech with AI Agents

2. Steve Nakata
Rocketman
•Former NASA systems
engineer

3. Steve Nakata
Rocketman
•Former NASA systems
engineer

4. Steve Nakata
Rocketman
•Former NASA systems
engineer
•→ Martech innovator
•20+ years building complex,
reliable systems
•Chief Architect, The
Pedowitz Group
•Helping orgs harness AI
agents to launch with
rocket-grade precision

5. Mission Timeline
1Mission Briefing: Why AI Agents Matter Now
Now
Understanding the current landscape and opportunity
2 Launch Systems: The Role of AI Agents
How specialized agents transform marketing operations
3Flight Plan: End-to-End Campaign Orchestration
Detailed walkthrough of the complete agent ecosystem
4 Implementation Roadmap
Practical phases for deploying AI agents in your organization
5Telemetry Scan: Live Demo
Real-world demonstration of MAP API integration
6 Next Orbit: Call to Action
Your pathway to implementation and immediate next steps

6. By the end of this session, you'll understand how to implement AI agents in your marketing operations stack and a
stack and a concrete first step to begin your pilot program.
Mission Objectives
Transform Operations
Understand how AI agents fundamentally transform
transform marketing operations from reactive task
task execution to proactive, intelligent orchestration
orchestration
See Complete Workflow
Identify agents for evaluating ICP fit, creating compliant
compliant content, building campaigns, and performing
performing quality assurance
Learn Integration
Discover a pragmatic, phased roadmap to integrate AI
agents with MAP APIs while maintaining security and
governance
Experience Demo
Witness a focused live demonstration of content
retrieval from MAPs using OpenAI's custom GPT
integration

7. •Accessible AI Agent Creation
•No-Code/Low-Code Platforms
•Accessible Frameworks
•Technology Landscape Enables Deployment
•Advanced LLMs
•Robust Cloud Infrastructure
•API Integration Ecosystems
•Shift to Specialized, Interconnected Agents
•Beyond Monolithic AI
•Orchestrated Workflows
•Timing Advantage for Early Adopters
•Competitive Edge
•Data-Driven Decisions
•Scalability & Innovation
The convergence of accessible technology, powerful AI models, and an interconnected digital ecosystem creates an
unparalleled opportunity for innovation and growth in marketing.
Mission Briefing: Why AI Agents Matter Now
We are at a pivotal moment where AI agents are transforming marketing operations, offering unprecedented efficiency
and strategic advantage.

8. Think of AI agents as your
specialized mission crew. They
offer:
•Distinct expertise for
specific tasks
•Perfect coordination to
execute complex
marketing operations
•Dynamic collaboration,
unlike monolithic
automation tools
•Continuous learning from
each interaction
•Ongoing improvement in
performance
Specialized Collaboration
•Each agent handles focused tasks: intake assessment, data
validation, content creation, campaign execution, and
quality assurance.
•They work together as an intelligent operations
ecosystem.
Intelligent Orchestration
•Agents don't just execute tasks; they make decisions.
•They adapt to changing conditions.
•They optimize workflows based on real-time
performance data and historical learnings.
Continuous Evolution
•The system becomes smarter with every campaign.
•It refines ICP models.
•It improves content quality.
•It optimizes execution paths based on performance telemetry.
Launch Systems: The Role of AI
Agents

9. Mission Control: Intake &
Assessment Agents
ICP Evaluation
•Instantly evaluate campaign requests against your Ideal Customer Profile (ICP).
•Score fit probability.
•Flag potential alignment issues before resource allocation.
Requirement Validation
•Identify missing requirements, incomplete briefs, or conflicting objectives early.
•Prevent costly rework and timeline delays downstream.
Benefits of this intelligent intake system:
•Significantly reduce campaign setup time.
•Improve campaign quality scores.
•Catch issues before they propagate through your marketing stack.
Capture & Interpret
•Automatically capture campaign requests from multiple channels.
•Parse natural language requirements.
•Extract key parameters: audience, objectives, and timeline constraints.

10. Navigation Systems: Data Agents
Data agents form the navigation backbone of your marketing operations, ensuring clean, enriched, and actionable data flows th
flows through every system touchpoint.
rough every
Automated Data Orchestration
•Ingest data from multiple sources simultaneously
•Apply real-time cleaning and standardization rules
•Execute intelligent segmentation based on behavioral patterns
•Maintain data quality scores above 95% consistency
Intelligent Enrichment
•Cross-reference third-party data sources automatically
•Fill data gaps using predictive modeling
•Validate contact and account information in real-time
Continuous ICP Scoring
•Score contacts and accounts against evolving ICP models
•Update scores based on engagement patterns
•Flag high-value prospects for prioritized outreach
•Generate insights for ICP model refinement

11. Compliance Validation
•Automatically scan content against legal,
regulatory, and brand compliance
requirements
•Flag potential issues before publication
Research Integration
•Incorporate competitive intelligence,
market research, and customer insights
•Integrate into content creation process for
maximum relevance
Strategic Alignment
•Ensure all messaging aligns with ICP
characteristics
•Align with campaign objectives
•Optimize for conversion likelihood
Communications Array: Content Agents
•Operate as creative mission specialists
•Produce on-brand, compliant, and strategically aligned messaging
•Cover all campaign touchpoints
•Significantly reduces content creation time
•Improves message testing performance
•Achieves data-driven optimization
Brand Voice Alignment
•Generate emails, landing pages,
pages, and ad copy
•Maintain consistent brand voice
voice
•Ensure messaging architecture
across all channels

12. Launch Crew: Execution Agents
Execution agents handle the complex technical implementation of campaigns in
campaigns in MAP, transforming strategic plans into operational reality with
with precision and speed.
Program Cloning & Configuration
Automatically clone proven program templates, configure settings, and
settings, and customize workflows based on campaign requirements and
requirements and historical performance data.
Asset Population
Populate emails, landing pages, and forms with approved content,
applying proper tokenization and dynamic content rules automatically.
Workflow Orchestration
Build and configure smart campaigns, trigger sequences, and nurture
flows according to campaign logic and timing requirements.
Multi-Channel Deployment
Coordinate deployment across email, web, social, and paid
channels with precise timing and sequence control.
Execution agents can reduce campaign build time from days to hours while
hours while eliminating a significant amount of configuration errors through
through automated validation and testing protocols.

13. Flight Monitors: QA &
Continuous Improvement Agents
Pre-Flight Quality Assurance
Before any campaign launches, QA agents
perform comprehensive validation checks
that would make NASA proud:
•Validate all links, tokens, and dynamic
content rendering
•Test smart campaign logic against edge
cases
•Verify list segmentation and suppression
rules
•Confirm GDPR compliance and
unsubscribe mechanisms
•Run deliverability and spam score
assessments
Real-Time Performance Monitoring
Once campaigns are live, monitoring agents
track performance metrics, identify
anomalies, and trigger automatic
optimizations or alerts when intervention is
needed.
Continuous Learning Loop
Performance data flows back into ICP
models, content templates, and execution
procedures, creating a self-improving
system that gets smarter with every
campaign.

14. The AI Spacecraft: Ecosystem Overview
The complete AI agent ecosystem operates like a sophisticated spacecraft—each system specialized yet interconnected, with human
with human strategy providing mission control while AI agents handle operational execution.
strategy
Human Strategy
Strategic direction, goal setting, and high-level
decision making
Intake Agents
Requirement capture and initial assessment
Data Agents
Information processing and enrichment
Content Agents
Creative asset development and optimization
Execution Agents
Technical implementation and deployment
QA Agents
Quality assurance and performance
monitoring
Mission Evolution: Each campaign becomes a learning opportunity, with insights and optimizations feeding back into the system to
into the system to improve future performance. This creates a continuously evolving marketing operations platform that adapts
that adapts to changing market conditions and business requirements.
to

15. MOPS AI Agent
Framework

16. AI Agent Use Case Examples
Code Generator
Custom GPTs with pre-trained content (fine
(fine-
-
tuning) for automated code creation.
creation.
Internal Knowledge Base
Custom GPTs powered by RAG for efficient
efficient information retrieval and
knowledge management.
Contact Persona Classification
MAP webhook triggers custom GPTs with
fine-tuned content for accurate persona
categorization.
Next Best Offer
Integrated workflow via MAP <-> iPaaS <
iPaaS <-
-
> Custom GPTs with fine
>
-
tuned content to recommend optimal offers.
tuned
offers.
Email Content Review
Custom GPTs review and optimize email
content, integrating directly or via a Gateway
to MAP.

17. Telemetry Scan: Live Demo Overview
We'll demonstrate the practical implementation of AI agents through a real-world integration between OpenAI's Custom GPT and MAP REST
APIs. This demo showcases the foundation upon which more complex agent workflows are built.
OpenAI Custom GPT Integration
Custom GPT configured with MAP API
credentials and specialized prompts for
marketing operations tasks, operating in
read-only mode for security.
Content Extraction Scenario
Demonstration of locating and extracting
email content from MAP using natural
language queries and API calls.
Safety & Governance
Scoped access permissions,
comprehensive logging, and rollback
capabilities ensure safe operation with
enterprise-grade security controls.
This demonstration illustrates how AI agents can interact with your existing MarTech stack while maintaining the security, lo
logging, and governance standards required for enterprise marketing operations.
gging, and

18. Connecting GPT to Marketo: Mission Telemetry Guide
•Gateway handles OAuth token exchange and caching
•Read-only mode enforced; requests validated and logged
•Secrets managed as environment variables
•Alternative gateways: AWS API Gateway, Azure Functions, GCP Cloud Run
Custom GPT
Initiates marketing automation tasks.
Auth Gateway
Python on Render handles OAuth,
caching, and validation.
Marketo
Performs marketing operations via API.

19. Connecting GPT to HubSpot: Mission Telemetry Guide
Read-only mode enforced; requests validated and logged
Custom GPT
Initiates marketing automation tasks.
HubSpot
Performs marketing operations via API.

20. Security & Governance: Today → Tomorrow
Today: Current Security Posture
Read-Only Access: Emphasizing least privilege and no PII exposure.
exposure.
Secure Tokens: Managed via environment variables.
Robust Controls: Audit logging and endpoint whitelisting enabled.
Tomorrow: Evolving Capabilities
Controlled Writes: With necessary approvals.
Risk Mitigation: Comprehensive rollback plans.
Quality Assurance: Rigorous QA preflight processes.

21. Flight Plan: Implementation Roadmap
Success with AI agents requires a methodical, phased approach that builds capabilities progressively while maintaining operat
operational stability and team confidence.
ional stability
1
Phase 1: Foundation
Experiment with GPT prompts & guardrails
•Develop prompt libraries for common tasks
•Establish safety protocols and response validation
•Train team on AI interaction best practices
•Create governance framework for AI usage
2
Phase 2: Integration
Read-only MAP API integration
•Configure secure API connections
•Implement content extraction workflows
•Build reporting and audit capabilities
•Measure time savings and accuracy improvements
3
Phase 3: Automation
Controlled write actions & governance
•Implement campaign building automation
•Add approval workflows and rollback mechanisms
•Create comprehensive logging and monitoring
•Establish SLA and performance benchmarks
4
Phase 4: Scale
Feedback loops & multi-agent scale
•Deploy specialized agent roles
•Implement inter-agent communication
•Add machine learning optimization
•Scale across multiple campaign types

22. Functional Examples of AI Agents and Tools
Chatbot
Conversational Q&A (e.g., ChatGPT, Landbot)
Automation
Workflow triggers (e.g., Zapier, Make)
Data Agent
Extraction & analysis (e.g., Airtable, Retool)
Content Generator
Text/media creation (e.g., Jasper, Copy.ai)
Decision Agent
Rule-based logic (e.g., Bubble, Power Automate)
Knowledge Agent
Document retrieval (e.g., Flowise, Notion)
Multi-Agent
Orchestrated roles (e.g., CrewAI, Langflow)
Embedded AI
In-app automation (e.g., Marketo, HubSpot, Salesforce)

23. Next Orbit: Your Mission Starts Now
The journey to AI-powered marketing operations begins with a single, well-executed pilot project. Choose your starting point based on your
team's current capabilities and most pressing operational challenges.
Pilot One Workflow
Start with ICP scoring automation or content extraction—choose
the workflow that will demonstrate clear, measurable value to
your team and stakeholders within 30 days.
Establish Integration
Connect AI tool to MAP in read-only mode, measure impact
through time savings and accuracy improvements, and document
lessons learned.
Build Governance
Create robust governance framework including prompt
management, approval workflows, comprehensive logging, and
clear escalation procedures.
Iterate & Scale
Implement rapid iteration cycles, gather user feedback
continuously, scale successful workflows, and sunset processes
that don't deliver measurable value.
Remember: start small, measure everything, and let success drive expansion. Your first AI agent deployment should prove value
prove value within the first month of implementation.

24. Mission Debrief: Q&A