Lilly Tech Systems
Make (Integromat) Workflows
Make's visual canvas enables complex marketing automation scenarios with branching paths, parallel processing, iterators for batch operations, and sophisticated error handling — ideal for multi-step AI workflows.
Why Make for Marketing AI
Make excels at complex workflows that require branching logic, data transformation, and multiple AI processing steps. Its visual canvas makes it easy to design, debug, and maintain sophisticated marketing automations.
- Visual Design: Drag-and-drop modules on an infinite canvas. See the entire workflow at a glance with data flow connections.
- Routers & Filters: Split workflows into parallel paths based on conditions (lead score, content type, audience segment).
- Iterators & Aggregators: Process arrays of items (batch content, multiple leads) and recombine results efficiently.
- HTTP Module: Connect to any AI API (OpenAI, Claude, Stability AI, custom models) via flexible HTTP requests.
AI Marketing Workflow Examples
| Workflow | Modules Used | Result |
|---|---|---|
| Content Pipeline | RSS → OpenAI → Router → WordPress + LinkedIn + Twitter | Auto-generate and distribute multi-format content from trending topics |
| Lead Qualification | Webhook → Claude API → Filter → HubSpot + Slack | AI-score leads and route hot leads to sales, warm leads to nurture |
| Campaign Reports | Schedule → Google Ads + Meta Ads → OpenAI → Google Slides | Weekly AI-generated campaign performance decks with insights |
| Review Management | Google Reviews → AI Sentiment → Router → Response + Alert | Auto-respond to positive reviews, alert team on negative ones |
Building a Content Repurposing Workflow
- Trigger: New blog post detected via RSS feed or WordPress webhook.
- Extract Content: Use the HTTP module to fetch full article text and metadata.
- AI Processing: Send content to Claude/GPT with prompts for each output format (LinkedIn post, Twitter thread, email newsletter excerpt).
- Router: Split into parallel paths for each distribution channel.
- Format & Publish: Each path formats the AI output for its platform and publishes or schedules via the platform's API.
- Log Results: Aggregate all outputs to a Google Sheet or Airtable for tracking and review.
Advanced Make Features for AI
Data Store
Make's built-in database stores AI prompts, templates, and results. Use it to cache responses, avoid duplicate processing, and build content libraries.
Error Handlers
Attach error handlers to AI modules for retry logic, fallback to alternative models, or alerting when API rate limits are hit.
Webhooks
Create instant-trigger workflows with custom webhooks. Receive data from any source and process with AI in real time.
Scenario Templates
Save and reuse workflow templates across teams. Share proven AI marketing patterns as ready-to-deploy templates.