Automation Anywhere vs Make
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Automation Anywhere if you want goal-driven ai agents that orchestrate rpa bots, apis, and people (Supervised agent, enterprise); choose Make if you want visual automation platform that added reasoning ai agents to workflows (Supervised agent, freemium).
| Automation Anywhere | Make | |
|---|---|---|
| What it is | Goal-driven AI agents that orchestrate RPA bots, APIs, and people | Visual automation platform that added reasoning AI agents to workflows |
| Type | product-with-agents | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | freemium · Free tier (1,000 credits/mo); Core from $12/mo (annual) |
| Best for | enterprise, mid-market | smb, mid-market, enterprise, developers |
| Deployment | saas, self-hosted, api | saas, api |
| Modalities | text, browser, api, code | text, api |
| Models | model-agnostic, gpt, claude, gemini | model-agnostic, gpt, claude |
| Protocols | mcp, function-calling, rest-api | mcp, rest-api, function-calling |
| Integrations | Amazon Bedrock, Google Vertex AI, Azure OpenAI, OpenAI, Automation 360, Bot Store connectors | Slack, Google Workspace, OpenAI, Anthropic, HubSpot, Salesforce |
| Capabilities | 4 documented | 4 documented |
Automation Anywhere
- +Governance-first with broad compliance coverage (SOC 2 Type II, ISO 27001, FedRAMP, GDPR, RBAC, AI Guardrails)
- +Genuinely model-agnostic across Bedrock, Vertex, and Azure OpenAI
- +Hybrid agents plus deterministic RPA extends existing bot investments
- -Marketing autonomy claims (agents that "self-heal without manual direction") overstate real supervised deployments
- -MCP support is inbound-only today: it can be called as a server but cannot yet call external MCP servers as a client
Make
- +Mature visual builder with thousands of app integrations, now extended with reasoning AI Agents
- +AI Agents are built no-code in the same canvas and can be reused across workflows with attached tools and knowledge
- +Credit-based pricing with a free tier makes entry cheap; MCP support for extending tool access
- -Classic scenarios are deterministic, not agents; only the newer AI Agent module reasons and decides
- -Credit-based metering can get hard to predict as agent and scenario usage scales
Which should you choose?
Automation Anywhere is goal-driven ai agents that orchestrate rpa bots, apis, and people, best for enterprise, mid-market. Make is visual automation platform that added reasoning ai agents to workflows, best for smb, mid-market, enterprise, developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.