Make.com Release Notes | APR'26
What do the APR’26 Make.com updates really mean for your team?
We break down what matters, what to act on, and where it impacts your operations.
https://help.make.com/introducing-module-migrator
Module migrator can materially reduce the churn of keeping long-lived Make scenarios running by auto-detecting and replacing deprecated modules and producing guided “warning bundles” for cases needing human edits. For B2B teams, this improves resilience during app/API changes and lowers maintenance load. However, only supported apps migrate, so you still need an ownership process for unsupported modules, regression testing, and governance around scenario changes, especially in revenue-critical workflows.
https://help.make.com/new-version-of-api-endpoint-for-credential-requests-scenario-usage-tracking-connection-filtering-and-app-updates
Plan migration: your credential-request calls must move to /api/v2/… before June 10, 2026; parameter simplification may break custom integrations if you assumed the old schema. Scenario usage tracking now covers data stores/structures/custom variables, improving governance and ROI analysis. Connection filtering (“my connections”) helps cleanup and team handoffs. Gemini/Claude prompt module adds automatic timestamps, reducing subtle context bugs. Token-based credit reporting for web search improves cost control; still monitor model changes. Low-code productivity gain is real; main risk is API deprecation and documentation drift.
https://help.make.com/meet-the-new-make-ai-agents-app
You now get an “AI Agents” app that brings building, running, testing, and debugging into the scenario builder with step-by-step reasoning, real-time execution animations, and AI-assisted tool field configuration. For B2B teams, this reduces iteration time and improves governance/debuggability of agent-driven workflows (less tab-hopping, faster diagnosis). File/knowledge mapping plus shareable public links can accelerate reuse across teams, but open beta means watch for pricing/behavior changes and ensure access controls for any public links.
https://help.make.com/new-mms-options-app-updates
You can now manage Make Managed Services child organizations and reallocate credits via API, plus monitor transfer and consumption. That’s valuable for scaling RevOps automation across business units and adding governance/chargeback, but it increases operational complexity and requires stricter access controls and rate/credit monitoring. App changes are mostly integration hygiene: Claude model availability, Google Business Profile renaming, Typeform API-region selection, improved Fathom limits, Zendesk OAuth refresh tokens with legacy expiry (plan migration), and Zoho region support reducing connection friction.
https://help.make.com/make-grid-workspace-navigation-and-interaction-updates
The Grid workspace improvements are mostly about usability: you can rearrange layouts, see teammates’ cursors/presence, open/edit connected objects directly, and get more consistent pan/zoom controls. For B2B automation teams this helps faster collaboration and fewer context switches when building or debugging flows, but it won’t change integration reliability or governance. Treat it as a productivity layer—update standards and access practices to avoid ad-hoc layout changes that hurt long-term maintainability.
https://help.make.com/openai-gpt-55-is-now-available-in-make
You can now use GPT-5.5 in Make for more autonomous, multi-step agent workflows, with stronger tool chaining and cleaner arguments, plus long-context handling up to 1M tokens. For B2B process automation, this can reduce manual intervention in research, document/data synthesis, and code/debug tasks, and improve result consistency. Still, governance matters: agents can run more steps, so add guardrails, logging, and human approvals where outputs affect CRM, pricing, or outreach.
https://help.make.com/introducing-mcp-toolboxes
MCP toolboxes give you a cleaner way to govern which Make-connected AI tools/scenarios an assistant can use, with per-tool selection, separate server URLs, and shareable authorization keys. For B2B ops this improves security, auditability, and cost control versus letting one assistant access everything. It also adds governance overhead: you’ll need naming/versioning discipline and careful test coverage to avoid “tool drift” when scenarios change. Real value if you’re scaling AI across teams/clients; less impact for simple single-workflow assistants.
https://help.make.com/openai-gpt-54-nano-and-mini-now-available-in-make
You now have faster, cheaper GPT-5.4 mini and nano options for Make multi-step and agentic workflows. That can materially cut cost and latency for high-volume tasks like classification, routing, extraction, and triage, while reserving larger models for orchestration. Practically, you’ll want governance: enforce deterministic schemas, monitor drift/quality, and centralize model-selection rules. The main risk is inconsistent outputs at scale if you don’t add validation and human review for edge cases.
https://help.make.com/2026
You now have faster, more reliable AI tool calling (GPT-5.x/Claude Opus 4.x, plus nano/mini for cost control) and better agent tooling for complex marketing/sales/service workflows, but validate output accuracy and downstream mappings. Operationally, Make is tightening governance: 2FA enforcement, credential request reauthorization/audit logs, and deprecation/migrator tools reduce fragility—yet they also demand change control. The Make CLI and scenario recovery improve resilience, while the new if/else+merge flow logic can simplify maintainability if you standardize patterns.
https://help.make.com/make-now-a-built-in-connector-on-anthropic-claude
You can now connect Make to Anthropic Claude via a built-in connector, eliminating manual URL/token setup and OAuth friction. That lowers the barrier for teams to let Claude trigger Make scenarios, which can speed up operational tasks and reduce handoff errors. For governance, you’ll need to tighten Claude-to-scenario permissions, log usage, and restrict what scenarios it can launch; otherwise, it may encourage broad, hard-to-audit automation. Value is highest for well-scoped, role-based “assistant-to-workflow” use cases, not for uncontrolled production actions.
https://help.make.com/claude-opus-47-now-in-make
Claude Opus 4.7 support in Make expands what your AI-driven agents can reliably do inside workflows: better instruction following, higher-quality image/PDF understanding, more dependable tool calling, and up to million-token context for large documents or histories. For B2B automation, that can reduce manual fixes in complex multi-step processes and improve document-driven operations (intake, summarization, routing). Watch for higher compute costs, prompt/config drift across teams, and governance gaps when deeper context increases the risk of confident-but-wrong outputs.
https://help.make.com/the-make-cli-is-now-live
With the Make CLI available, your team can manage scenarios, connections, data stores, and webhooks from a terminal and plug Make into Git/CI/CD. That’s strategically useful for scaling automation, enforcing change control, and enabling AI/coding agents to iterate workflows. Practical win: versioned deployments and repeatable environments. Risks: you still need strong governance, secrets handling, and non-prod testing to prevent disruptive deletions/edits; also expect a learning curve and tighter operational discipline.