
Post: Make November 2024 Release: 30+ New AI Integrations & Security Upgrades Explained
Make’s November 2024 release delivered 30+ new integrations, expanded AI model options, and platform-level security upgrades in a single drop. Whether you run lean ops or a full client services stack, this bundle adds real capability—from bank-to-bank payment automation to multi-LLM routing—without requiring a single line of custom code.
Make’s November 2024 “mega-bundle” is one of the most substantial single-month releases the platform has produced. As an automation agency that builds on Make.com daily, we broke down every item in the community thread so you can skip the noise and act on what matters. Here’s the full breakdown.
1. Four Brand-New Core Apps Built by Make
These integrations ship directly from the Make team and carry the familiar purple-circle badge—meaning they’re maintained, documented, and built to platform standards.
- GoCardless – Direct bank-to-bank payments for subscription or invoice automations. Auto-collect failed payments, trigger a Slack alert, and fire a customer-friendly retry email—all in one scenario.
- Lusha – Verified B2B contact enrichment on demand. Pull fresh contact data into HubSpot, score leads in real time, and route high-value prospects directly to your SDR queue without manual lookups.
- Snapchat Conversions – First-party conversion uploads without CSV exports. Feed offline or web events to Snapchat Ads in minutes, keeping your attribution clean and your ad spend honest.
- xAI – Elon Musk’s Grok model joins Make’s AI ecosystem. Swap, A/B test, or cascade prompts between OpenAI, Gemini, and xAI to optimize for cost, speed, or output quality depending on the task.
Expert Take
The xAI connector is the sleeper hit here. Most teams are locked into a single LLM provider by habit, not by design. Having xAI available as a native module means you can build model-routing logic directly inside Make—send high-volume, low-complexity prompts to the cheapest model and escalate edge cases to a more capable one. That kind of granular cost control compounds fast at scale. If you want to see how multi-LLM routing fits into a real workflow, our post on 10 automations that are finally easy to build with Make and AI walks through the architecture.
2. 28 Newly Verified Partner Integrations
Make’s verified badge means the connector is maintained by the app vendor or a certified partner. That’s not a minor distinction—it means update cadence, bug support, and documentation responsibility sit with the people who know the API best. Here’s how the November batch breaks down by category:
AI & LLM Stack
- Google Gemini AI – Native module for Google’s flagship model, ready for prompt chaining and document analysis.
- OpenRouter – Route prompts across dozens of models from a single API key. Essential for cost-conscious teams running high volumes.
- StealthGPT – AI-generated content designed to pass detection tools. Useful for specific content workflows where that matters.
- Relevance AI – Multi-agent orchestration platform. Build chains of AI agents and trigger them from any Make webhook.
- Runware.AI – High-speed image generation with near-instant latency. A strong Midjourney alternative for production pipelines.
- GPT Maker, SystemPrompt.io, Twin Web Agent, YourGPT Chatbot – A cluster of tools for building, deploying, and managing custom GPT experiences inside your existing workflows.
Voice & Conversational AI
- Bland – Trigger AI-powered phone calls from any Make scenario. Useful for appointment reminders, lead qualification, and outbound campaigns.
- Bolna – Conversational voice agents with natural pacing. Pairs well with CRM triggers for post-demo follow-up calls.
- Kollie – Voice AI for customer-facing interactions. Connect to inbound webhook triggers and let the agent handle intake before a human steps in.
Video & Media Creation
- HeyGen – Avatar video generation triggered directly from CRM events. Personalized video at scale without a production team.
- SEEN – Personalized explainer video automation for marketing and onboarding flows.
- Bookoly – Booking and scheduling content, automated into your ops stack.
- PDF Snake – Generate polished, print-ready PDFs from structured data. Good for proposals, reports, and invoices.
Data Extraction & Documents
- DocuPanda – Extract structured JSON from unstructured or messy PDFs. A significant time saver for any team processing inbound documents manually.
- Click and Sign – Legally binding e-signatures embedded directly in your automation flow. No detour to a separate platform required.
Sales & Outreach
- Discko – AI-driven prospecting workflows with built-in enrichment.
- AI Chatbot Hub – Centralize and manage multiple chatbot instances across channels.
- BetterMode – Community engagement touchpoints you can trigger from sales or onboarding workflows.
Logistics & Operations
- Qapla’ – Shipping label generation and tracking automation. Excellent for e-commerce post-purchase flows.
- Société.com – French company registry data for B2B qualification and due diligence workflows.
- Wappi – WhatsApp and Telegram API access without wrestling with native Meta business setups. Useful for client communication and support routing.
Niche but Worth Noting
- Origami – No-code database and web app builder. Use it to spin up lightweight internal tools that feed data into your Make scenarios.
- ZeptoMail – Transactional email with strong deliverability. A solid alternative for teams running high-volume automated email outside marketing platforms.
Expert Take
The voice AI cluster—Bland, Bolna, Kollie—is worth a dedicated pilot. Most ops teams treat phone calls as the one channel automation can’t reach. These connectors close that gap. Pair any of them with a CRM webhook and a Make scenario, and you have an AI-driven outbound call triggered by a deal-stage change, a missed appointment, or a failed payment. The Qapla’ and Wappi additions are similarly underrated for e-commerce and logistics teams that currently manage shipping notifications and customer messages by hand.
3. Platform Enhancements and Quality-of-Life Wins
The integration count gets the headlines, but the platform-level updates are where long-term value compounds. November’s release included improvements across three areas that matter most to teams running Make in production:
Security and Governance
- Expanded audit logging – More granular records of who changed what and when inside your organization’s scenarios. Essential for compliance-sensitive environments.
- Improved team permission controls – Finer-grained role assignments mean you can give contractors view access without exposing production credentials or live scenario configurations.
- Connection-level access restrictions – Lock specific API connections to specific teams or scenarios. Reduces blast radius if a credential is ever compromised.
Builder Experience
- Faster module search – The app search inside the scenario builder now returns results more quickly, with improved relevance ranking. Sounds minor. It isn’t when you’re building or debugging under pressure.
- Improved data mapping UI – The mapping panel received usability updates that reduce the number of clicks needed to wire complex JSON structures into module fields.
Execution and Reliability
- Increased webhook payload limits – Higher data limits per inbound webhook mean fewer workarounds for teams passing large document payloads or batch event arrays.
- Better error context in execution history – Errors now surface more of the upstream module state, making root-cause analysis faster without needing to re-run scenarios manually.
Expert Take
The connection-level access restriction is the security update that most teams will sleep on and later wish they had implemented from day one. When you run dozens of scenarios across multiple clients or departments, a single compromised OAuth token can touch far more than it should. Scoping connections to specific scenarios or teams is basic zero-trust hygiene, and the fact that Make built it into the platform—rather than leaving it to workarounds—is a sign of the platform maturing for enterprise use. If you want to understand how to structure a Make build for production reliability, our guide on setting up routed error handling in Make with AI assistance covers the operational layer that security controls alone won’t protect.
4. Where to Start: Prioritizing the November Release
Thirty-plus updates in a single release is too much to act on at once. Here’s how to triage what deserves your attention first, based on the type of team you’re running:
- Revenue-focused teams: Start with Lusha enrichment into your CRM pipeline and Bland or Bolna for outbound voice triggers. Both have high-visibility ROI and short build cycles.
- Operations and logistics teams: Qapla’ for shipping automation and Wappi for WhatsApp notifications are the fastest wins. Both replace manual steps that happen dozens of times per day.
- AI-forward teams: OpenRouter and Relevance AI open up multi-model and multi-agent architectures that weren’t previously accessible without custom HTTP modules. If you’re already running AI inside Make scenarios, these expand what’s possible without adding infrastructure complexity.
- Compliance-sensitive teams: Implement the new connection-level access controls and audit logging before anything else. The integrations are exciting, but production governance is what makes scaling safe.
- Document-heavy teams: DocuPanda and Click and Sign together cover the full document lifecycle—extraction through signature—inside a single Make flow. If your team touches contracts, intake forms, or supplier documents, this combination eliminates the most manual steps.
If you’re newer to Make and trying to figure out how these pieces fit together architecturally, our plain-English guide to Make scenarios explains the building blocks before you add integrations on top of them. And if you’re evaluating whether Make is the right platform for your stack in the first place, the Make vs. Zapier pricing and feature breakdown covers the decision honestly.
5. What This Release Signals About Make’s Direction
Taken together, November’s bundle points in a clear direction: Make is consolidating its position as the platform where serious automation teams operate, not just prototype. The verified partner badge program is accelerating—28 additions in a single month is not a coincidence—and the AI integrations follow a deliberate pattern: voice, video, multi-model routing, document intelligence, and agent orchestration.
The security and governance improvements confirm that Make is investing in enterprise readiness in parallel with breadth. Teams that were previously hesitant to run sensitive workflows on Make—HR data, financial records, client documents—have fewer technical objections now.
The practical implication: if your team is still running automations on a platform that charges per task and gates features by tier, the compounding cost gap between that approach and Make’s operation-based pricing gets harder to ignore. Our analysis of how we rebuilt a client’s Zapier stack in Make and cut their automation bill by 60% shows what that shift looks like in real numbers.
If you want help mapping which November integrations belong in your specific stack—or you want a second opinion on how to structure a multi-LLM or voice AI build before you invest the build time—start with an OpsMap™ audit. It’s the fastest way to identify which automations deliver the highest return before a single scenario is built.

