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Adobe Journey Optimizer MCP Server

Discovery Questionnaire

Purpose

This questionnaire is designed to evaluate an organization's readiness, use cases, governance requirements, and adoption strategy for the Adobe Journey Optimizer MCP Server.

The objective is to understand how marketing, operations, and technical teams could leverage conversational AI interfaces to access Adobe Journey Optimizer data, streamline workflows, improve operational visibility, and prepare for future agentic experiences.

1. AI & Agent Strategy

Purpose

Understand the organization's overall AI vision and how conversational interfaces fit into that strategy.

Questions

  1. What is your organization's current AI strategy?
  2. Which AI platforms are currently approved for business use?
  3. Are teams actively using:
  4. Claude
  5. ChatGPT Enterprise
  6. Gemini
  7. Microsoft Copilot
  8. Internal AI solutions
  9. What business objectives are driving AI adoption?
  10. How mature are your AI governance practices?
  11. Are marketing teams already using AI for operational tasks?
  12. What workflows are currently being augmented by AI?
  13. What concerns exist regarding AI adoption?

Follow-Up Questions

  • Is there an executive AI sponsor?
  • Are there formal AI usage policies?

2. Current AJO Operational Challenges

Purpose

Identify opportunities where conversational access to AJO could improve productivity.

Questions

  1. How do users currently access information within AJO?
  2. What information is most frequently searched for?
  3. How much time is spent navigating AJO interfaces?
  4. What reporting or troubleshooting activities are most time consuming?
  5. Which teams regularly need visibility into:
  6. Campaigns
  7. Journeys
  8. Channels
  9. Configurations
  10. Delivery settings
  11. What operational questions are asked repeatedly?
  12. What information is difficult to locate today?
  13. Where do users experience friction in day-to-day platform management?

Follow-Up Questions

  • Are there recurring requests from business users for self-service visibility?
  • What operational tasks generate the most support tickets?

3. User Personas & Adoption Readiness

Purpose

Identify potential users and high-value personas.

Questions

  1. Which teams would benefit from conversational access to AJO?
  2. Which personas would likely use MCP most frequently?
  3. Would usage primarily come from:
  4. Marketing Operations
  5. Campaign Managers
  6. Journey Managers
  7. Loyalty Teams
  8. Analytics Teams
  9. Executives
  10. How technically sophisticated are intended users?
  11. Would business users prefer natural language interactions over traditional navigation?
  12. What training requirements would exist?
  13. How would adoption success be measured?
  14. What barriers to adoption do you anticipate?

Follow-Up Questions

  • Are there power users who could serve as champions?
  • Would usage be centralized or broadly distributed?

4. Campaign Visibility & Monitoring Use Cases

Purpose

Evaluate operational use cases around campaign management.

Questions

  1. How do teams currently monitor campaign activity?
  2. How often do users need visibility into:
  3. Active campaigns
  4. Draft campaigns
  5. Scheduled campaigns
  6. Paused campaigns
  7. What campaign information is most commonly requested?
  8. How frequently do stakeholders request campaign status updates?
  9. Would conversational access improve campaign governance?
  10. What campaign troubleshooting workflows exist today?
  11. What operational reporting is performed manually?
  12. How would AI-assisted campaign discovery improve efficiency?

Follow-Up Questions

  • Are campaign audits performed regularly?
  • How much time is spent gathering campaign information?

5. Journey Operations & Visibility

Purpose

Understand journey management workflows.

Questions

  1. How many journeys are actively managed?
  2. How frequently are journey audits performed?
  3. What journey information is most frequently requested?
  4. How do teams currently identify:
  5. Active journeys
  6. Draft journeys
  7. Closed journeys
  8. How often do stakeholders request journey reviews?
  9. What journey troubleshooting activities occur most often?
  10. What journey governance processes exist?
  11. How would conversational access improve journey management?

Follow-Up Questions

  • Are journey inventories maintained manually?
  • Is journey documentation centralized?

6. Governance, Security & Access Control

Purpose

Understand governance requirements for AI-enabled access.

Questions

  1. What governance controls must be enforced for AI access?
  2. Are there restrictions on exposing campaign metadata to AI tools?
  3. How are user permissions managed today?
  4. What security reviews would be required?
  5. What audit requirements exist?
  6. Are there concerns about AI access to marketing assets?
  7. What approval process would be required before enabling MCP access?
  8. How should access be segmented across business units?

Follow-Up Questions

  • Are there data residency concerns?
  • Are AI governance committees involved?

7. AI Platform & MCP Ecosystem Strategy

Purpose

Understand broader MCP and agent ecosystem plans.

Questions

  1. Are you evaluating other MCP-enabled applications?
  2. Would you benefit from connecting multiple Adobe MCPs together?
  3. Are there plans to build internal AI assistants?
  4. Do you envision cross-product AI workflows?
  5. Which systems would you eventually want exposed through MCP?
  6. How important is interoperability across:
  7. AJO
  8. RTCDP
  9. Adobe Target
  10. Analytics
  11. Customer Journey Analytics
  12. Do you have an enterprise agent strategy?
  13. What future agent use cases are being explored?

Follow-Up Questions

  • Are internal AI copilots already in development?
  • Are agent orchestration frameworks under evaluation?

8. Future Write-Access & Agentic Workflows

Purpose

Explore future-state opportunities once write capabilities become available.

Questions

  1. What tasks would users want AI to perform on their behalf?
  2. Would users benefit from AI-assisted:
  3. Campaign creation
  4. Journey creation
  5. Journey audits
  6. Configuration reviews
  7. Reporting
  8. What approvals would be required before allowing AI actions?
  9. Which actions should always require human review?
  10. What risks would concern stakeholders most?
  11. What guardrails would be required?
  12. How much autonomy would be acceptable?
  13. What agentic workflows would create the most value?

Follow-Up Questions

  • Would users trust AI-generated recommendations?
  • How should accountability be handled?

9. Adoption Success & Business Value

Purpose

Define success criteria and expected business outcomes.

Questions

  1. What productivity improvements would justify adoption?
  2. How would success be measured?
  3. Which KPIs should improve?
  4. What manual processes should be reduced?
  5. How much time could potentially be saved?
  6. What stakeholder groups would benefit most?
  7. What operational metrics should be tracked?
  8. What business outcomes are expected within:
  9. 90 Days
  10. 6 Months
  11. 12 Months

Innovation Interest Assessment

  1. Is your organization actively exploring agentic AI?
  2. Do you have approved AI platforms today?
  3. Are you interested in participating in beta or early-adopter programs?
  4. What level of experimentation with emerging AI technologies is acceptable?
  5. Who would sponsor an AI-powered operations initiative?