Martech Signal · Free Resource

Is your stack ready for AI agents?

12 questions to answer before you plug agents into your marketing automation. If you can't check most of these, agents will make your mess faster.

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1. Can you export your full customer journey as structured data?

Not a PDF report. A JSON or CSV with touchpoints, timestamps, and attribution. Agents can't reason over screenshots.

If no: your agents will hallucinate journey insights from whatever fragment they can access.

2. Do your tools have APIs, not just UIs?

Check your CRM, ESP, ad platforms, and analytics. If the only way to export data is "click Export → CSV," agents can't touch it without brittle screen-scraping.

If no: you'll build a human-in-the-loop bottleneck that defeats the purpose.

3. Is your UTM convention documented and enforced?

Agents will generate campaigns. If your UTMs are already inconsistent, agents will scale the inconsistency. Write the convention down. Enforce it with validation.

If no: your attribution model becomes noise within one quarter of agent-generated campaigns.

4. Can you segment your audience programmatically?

API-level access to segments, tags, or cohorts. Agents need to say "send this to segment X" without a human clicking through a UI.

If no: every agent campaign needs a human clicking through a UI first. You've automated the copy, not the workflow.

5. Do you have a single source of truth for customer data?

CDP, data warehouse, or even a well-maintained spreadsheet. If customer data lives in 4 tools with no sync, agents will pull conflicting records and act on stale info.

If no: fix this first. No amount of AI fixes a data architecture problem.

6. Are your email templates modular and API-sendable?

Agents should be able to compose and send emails via API, not just draft copy for a human to paste into a template builder.

If no: your agent writes copy but a human still has to paste it into the builder and hit send. You've automated one step out of five.

7. Can you measure campaign performance without logging into 3 dashboards?

One query, one API call, one place. Open rates, conversions, revenue. If reporting requires a human tour of your stack, agents can't close the feedback loop.

If no: agents will optimize what they can measure and ignore what they can't. That's how budgets leak.

8. Do you have approval workflows for automated sends?

Agents will make mistakes. You need a gate between "agent composed it" and "it went to 10,000 people." Even a Slack confirmation counts.

If no: your first agent error becomes a customer-facing incident.

9. Is your consent and suppression list accessible via API?

GDPR, CAN-SPAM, and your own suppression rules need to be queryable. An agent that can't check "has this person unsubscribed?" is a compliance violation waiting to happen.

If no: you're one agent mistake away from a GDPR complaint.

10. Can you version-control your automation logic?

Workflows, triggers, conditions. Are they in git, or locked in a visual builder with no export? Agents will modify flows. You need rollback.

If no: you'll be debugging agent changes by clicking through a UI at 11 PM.

11. Do you have cost guardrails on your ad platforms?

Daily caps, budget alerts, anomaly thresholds. An agent optimizing spend without guardrails is an agent that can drain a quarterly budget in a weekend.

If no: set hard caps before any agent touches bid management.

12. Can you run a campaign end-to-end without opening a browser?

If your entire workflow can run via API calls (segment, compose, send, measure, iterate), you're agent-ready. If any step requires a browser, that's where your bottleneck lives.

If no: start with whichever step still needs a browser. That's your first project.

// SCORING

10–12 checked:You're agent-ready. Start with low-risk automation (reporting, segmentation) and expand.
6–9 checked:Solid foundation. Fix the gaps before scaling agent access. The unchecked items are your roadmap.
0–5 checked:Don't buy AI tools yet. Fix your data plumbing first. Agents amplify whatever you have, mess included.

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