Make AI
About Make AI
Make AI refers to the growing integration of artificial intelligence capabilities within the Make automation platform (formerly Integromat) and allied no‑code/low‑code automation ecosystems, enabling AI powered workflows, integrations, and automated decisioning across apps and services.
Trend Decomposition
Trigger: Demand for AI assisted automation and smarter workflows across business processes.
Behavior change: Teams build automations that incorporate AI agents, prompts, and ML enabled decisions within workflows rather than relying on static integrations alone.
Enabler: Accessible AI APIs, no/low‑code platforms, and cohesive visual automation tools that let non‑developers orchestrate AI tasks.
Constraint removed: Traditional hand‑coded AI integration barriers and steep developer onboarding for automation have been lowered.
PESTLE Analysis
Political: Regulatory scrutiny around automated decisioning and data handling in AI powered workflows is increasing, prompting governance considerations.
Economic: Adoption accelerates as cost of AI services declines and time to value for automations improves.
Social: Organizations seek to democratize AI, enabling broader teams to automate repetitive work without deep coding.
Technological: Rich AI service ecosystems and interoperability between Make, AI providers, and cloud platforms enable composable AI workflows.
Legal: IP and data privacy implications of AI influenced automations require clear usage policies and compliance checks.
Environmental: Efficient automation reduces manual labor and may modestly lower energy use per process when workflows scale, though AI compute demands can offset gains if not optimized.
Jobs to be done framework
What problem does this trend help solve?
Accelerates creation of intelligent, automated workflows that perform AI enabled tasks without heavy coding.What workaround existed before?
Custom, code heavy integrations or manual scripting to embed AI into automation workflows.What outcome matters most?
Speed to implement AI powered automations and reduction of operational costs with predictable reliability.Consumer Trend canvas
Basic Need: Efficient, reliable automation with AI capabilities.
Drivers of Change: Rise of accessible AI APIs, no/low code tooling, and demand for scalable process improvement.
Emerging Consumer Needs: Easy AI workflow creation, transparent governance, and observable ROI.
New Consumer Expectations: Quick integration setup, end to end visibility, and robust error handling in AI workflows.
Inspirations / Signals: Case studies of AI augmented automations delivering time savings and impact across teams.
Innovations Emerging: AI driven decision blocks, prompt orchestration within visual builders, and cross app AI agents.
Companies to watch
- Make - No code automation platform enabling AI enhanced workflows and integrations.
- Zapier - Automation platform expanding AI enabled workflow capabilities and app connections.
- Microsoft - Power Platform and Azure AI services enabling AI assisted automations within workflows.
- Google - AI and automation services that can be orchestrated within no code/low code environments.
- IBM - Watson AI integration capabilities for automation and decisioning in workflows.
- UiPath - RPA platform integrating AI components to automate complex processes.
- Automation Anywhere - RPA + AI capabilities used to build AI enhanced automations.
- Nintex - Automation platform with AI assisted workflow design and execution.
- Airtable - Flexible data layer used to power AI enabled automations and workflows.
- Workato - Automation platform with AI integration options and cross app orchestration.