Beam AI

Beam AI is an agentic automation platform that runs business processes with AI agents for operations, finance and customer teams. You describe how a process works, and Beam turns that into an agent that reads inputs, makes decisions and acts in your systems, asking a person only at the steps you mark as critical. Its focus on high-volume back-office work, self-learning from feedback and deployment flexibility, including on-prem and regional clouds, separates it from general-purpose agent builders.

What is Beam AI used for?

Beam AI is used to automate processes that mix documents, judgment and several systems, the kind of work that classic rule-based automation struggles with.

• Processing orders, invoices and other documents and posting results to ERP systems such as SAP or DATEV
• Handling inbound customer or partner requests and updating CRM records
• Running multi-step workflows that pause for human approval at key decisions
• Improving agent behavior from team corrections over time
• Building custom interfaces on top of the same agent for different teams
• Connecting legacy systems through custom connectors

Who Beam AI is best for

Beam AI suits mid-sized and large companies, especially in Europe and the Gulf region, that run repetitive operations at volume and care where data is hosted. Operations and shared-service leaders who want results without writing code are the core users. Individuals or small teams looking to automate a few personal tasks will get more from a lighter assistant.

Beam AI pricing

As of October 2026, Beam AI's pricing page lists a Free plan with 20 tasks per month and self-healing outputs. Pro costs $50 per month for 200 tasks, unlimited steps per workflow, premium models and output evaluation. The Scale plan costs $3,990 per month for high-volume execution, three base integrations, frontier models, enterprise security and full self-learning. A Custom plan covers production deployments with custom integrations and on-demand solution engineers. No free trial is mentioned beyond the free plan.

Limitations to keep in mind

• The gap between Pro and Scale pricing is large for growing teams
• Task limits on the lower plans are small for real production volume
• Process automation still requires clear documentation of how the work is done today
• Self-learning claims are best judged on your own data during a pilot

Beam AI vs alternatives

Make and Zapier AI are better for connecting SaaS apps with predictable, rule-based workflows at low cost. n8n suits technical teams that want a self-hostable workflow tool with AI steps they control. Relevance AI and Lindy are closer competitors for building agents, with Lindy leaning toward personal and sales assistants. Beam AI wins for document-heavy enterprise processes that need approvals, regional hosting and agents that improve with feedback.

Tips for getting started with Beam AI

Start with a process you can measure, such as invoices processed per day, and use the free plan's 20 tasks on real examples. Mark approval steps generously at first, then remove them once error rates are low. Record corrections in the platform rather than outside it so the agent can learn from them.

Beam AI FAQ

Is Beam AI free?

Yes, Beam AI has a free plan with 20 tasks per month, and the Pro plan costs $50 per month for 200 tasks as of October 2026.

What is Beam AI used for?

Beam AI is used to automate back-office processes such as order and invoice handling with AI agents that act in systems like SAP, DATEV and Salesforce.

Can Beam AI be deployed on-prem?

Yes. Beam AI offers its cloud in the EU, US or GCC, deployment in your own cloud, or a fully on-prem installation.

Beam AI vs Make: which is better?

Make is better for low-cost rule-based app integrations, while Beam AI is better for judgment-heavy processes that need AI agents, approvals and learning from feedback.