Agentic Automation

Automation that thinks, adapts, and learns

Traditional automation breaks when inputs change. AI copilots can't execute. Beam combines the reliability of structured workflows with the intelligence of AI reasoning. Agents that handle variety, adapt to exceptions, and improve with every task. Not rigid scripts. Not experimental demos. Production-ready automation that actually works.

Agentic Automation

Automation that thinks, adapts, and learns

Traditional automation breaks when inputs change. AI copilots can't execute. Beam combines the reliability of structured workflows with the intelligence of AI reasoning. Agents that handle variety, adapt to exceptions, and improve with every task. Not rigid scripts. Not experimental demos. Production-ready automation that actually works.

Agentic Automation

Automation that thinks, adapts, and learns

Traditional automation breaks when inputs change. AI copilots can't execute. Beam combines the reliability of structured workflows with the intelligence of AI reasoning. Agents that handle variety, adapt to exceptions, and improve with every task. Not rigid scripts. Not experimental demos. Production-ready automation that actually works.

Agentic Automation

Production-ready automation that actually works

Everything you need to build, deploy, and improve AI agents at enterprise scale. From fixed flows with AI reasoning to self-learning, these capabilities make Beam agents production-ready.

Agentic Automation

Production-ready automation that actually works

Everything you need to build, deploy, and improve AI agents at enterprise scale. From fixed flows with AI reasoning to self-learning, these capabilities make Beam agents production-ready.

Agentic Automation

Production-ready automation that actually works

Everything you need to build, deploy, and improve AI agents at enterprise scale. From fixed flows with AI reasoning to self-learning, these capabilities make Beam agents production-ready.

Handles variety, not just templates

RPA breaks on document #47. Beam agents handle invoices in any format, emails in any language, processes with any variations. AI understands intent, not just pixel positions.

Handles variety, not just templates

RPA breaks on document #47. Beam agents handle invoices in any format, emails in any language, processes with any variations. AI understands intent, not just pixel positions.

1500+ integrations, zero middleware

SAP, Oracle, Salesforce, Workday. Pre-built and ready. OAuth configured. Error handling included. Connect to enterprise systems in clicks, not months of integration work.

1500+ integrations, zero middleware

SAP, Oracle, Salesforce, Workday. Pre-built and ready. OAuth configured. Error handling included. Connect to enterprise systems in clicks, not months of integration work.

Agents that self-learn from every task

Most platforms let you build agents. We make them improve. Every failure becomes training data. 5% accuracy → 100% in 30 seconds. No manual prompt engineering required.

Agents that self-learn from every task

Most platforms let you build agents. We make them improve. Every failure becomes training data. 5% accuracy → 100% in 30 seconds. No manual prompt engineering required.

Know exactly how good your agents are

Three-layer evaluation: workflow, step, variable. Not \

Know exactly how good your agents are

Three-layer evaluation: workflow, step, variable. Not \

Human oversight without bottlenecks

€50k invoice? Customer escalation? Agents do 95% of the work, humans make the final call. Start with full approval, reduce as trust builds. Risk managed, efficiency gained.

Human oversight without bottlenecks

€50k invoice? Customer escalation? Agents do 95% of the work, humans make the final call. Start with full approval, reduce as trust builds. Risk managed, efficiency gained.

Multi-agent orchestration

Complex processes need specialized agents. Invoice processing, compliance checking, customer routing—each agent excels at one thing. Coordinators manage the whole. Scale without chaos.

Multi-agent orchestration

Complex processes need specialized agents. Invoice processing, compliance checking, customer routing—each agent excels at one thing. Coordinators manage the whole. Scale without chaos.

Production-ready from day one

Security, compliance, monitoring built-in. Not a demo platform. VW, Porsche, Americana run production workloads. Ship in weeks, not quarters.

Production-ready from day one

Security, compliance, monitoring built-in. Not a demo platform. VW, Porsche, Americana run production workloads. Ship in weeks, not quarters.

Workflow automation + AI reasoning — Best of both worlds

Beam combines fixed flows with agentic approaches in the same workflow. Deterministic steps execute reliably. API calls, data validation, system updates happen exactly as defined. AI reasoning handles the exceptions. Document understanding, intent classification, complex decisions. You design which steps need which approach. The result is automation that's reliable where you need reliability, intelligent where you need intelligence.

Workflow automation + AI reasoning — Best of both worlds

Beam combines fixed flows with agentic approaches in the same workflow. Deterministic steps execute reliably. API calls, data validation, system updates happen exactly as defined. AI reasoning handles the exceptions. Document understanding, intent classification, complex decisions. You design which steps need which approach. The result is automation that's reliable where you need reliability, intelligent where you need intelligence.

Workflow automation + AI reasoning — Best of both worlds

Beam combines fixed flows with agentic approaches in the same workflow. Deterministic steps execute reliably. API calls, data validation, system updates happen exactly as defined. AI reasoning handles the exceptions. Document understanding, intent classification, complex decisions. You design which steps need which approach. The result is automation that's reliable where you need reliability, intelligent where you need intelligence.

Graph-based execution with conditional branching

AI-powered nodes for complex reasoning

Deterministic nodes for reliable actions

Handles variety at scale — Beyond template matching

AI agents understand intent and context, not pixel positions. An invoice from Germany in PDF format? Handled. Same invoice as a scanned image? Handled. Same vendor, different layout? Handled. AI extracts the information regardless of format variations. Natural language understanding means agents work with emails in any language, documents in any structure, processes with any variations. One agent handles what would require dozens of RPA scripts.

Handles variety at scale — Beyond template matching

AI agents understand intent and context, not pixel positions. An invoice from Germany in PDF format? Handled. Same invoice as a scanned image? Handled. Same vendor, different layout? Handled. AI extracts the information regardless of format variations. Natural language understanding means agents work with emails in any language, documents in any structure, processes with any variations. One agent handles what would require dozens of RPA scripts.

Handles variety at scale — Beyond template matching

AI agents understand intent and context, not pixel positions. An invoice from Germany in PDF format? Handled. Same invoice as a scanned image? Handled. Same vendor, different layout? Handled. AI extracts the information regardless of format variations. Natural language understanding means agents work with emails in any language, documents in any structure, processes with any variations. One agent handles what would require dozens of RPA scripts.

Document processing with intelligent parsing

Multi-format understanding (PDF, email, scanned images)

Multi-language support without separate configurations

Enterprise integrations — Connect without middleware

1500+ pre-built connectors cover major enterprise systems. SAP, Oracle, Salesforce, Workday, ServiceNow, JIRA, Google Workspace, Microsoft 365. Each connector comes with OAuth authentication configured, rate limiting handled, error recovery built-in. Custom integrations? Import OpenAPI specifications from any system. Actions become available to agents immediately. No separate integration layer required.

Enterprise integrations — Connect without middleware

1500+ pre-built connectors cover major enterprise systems. SAP, Oracle, Salesforce, Workday, ServiceNow, JIRA, Google Workspace, Microsoft 365. Each connector comes with OAuth authentication configured, rate limiting handled, error recovery built-in. Custom integrations? Import OpenAPI specifications from any system. Actions become available to agents immediately. No separate integration layer required.

Enterprise integrations — Connect without middleware

1500+ pre-built connectors cover major enterprise systems. SAP, Oracle, Salesforce, Workday, ServiceNow, JIRA, Google Workspace, Microsoft 365. Each connector comes with OAuth authentication configured, rate limiting handled, error recovery built-in. Custom integrations? Import OpenAPI specifications from any system. Actions become available to agents immediately. No separate integration layer required.

Pre-built connectors for major platforms

OpenAPI specification import

OAuth and API key authentication

Self-learning — Agents that improve automatically

The Learning Hub tracks performance across every workflow node. When something fails, mark what went wrong. One click. AI analyzes the failure, identifies patterns, rewrites the prompt with clearer instructions. Validation testing runs automatically before deployment. Transform 5% accuracy to 100% in about 30 seconds. Every correction makes the entire system smarter.

Self-learning — Agents that improve automatically

The Learning Hub tracks performance across every workflow node. When something fails, mark what went wrong. One click. AI analyzes the failure, identifies patterns, rewrites the prompt with clearer instructions. Validation testing runs automatically before deployment. Transform 5% accuracy to 100% in about 30 seconds. Every correction makes the entire system smarter.

Self-learning — Agents that improve automatically

The Learning Hub tracks performance across every workflow node. When something fails, mark what went wrong. One click. AI analyzes the failure, identifies patterns, rewrites the prompt with clearer instructions. Validation testing runs automatically before deployment. Transform 5% accuracy to 100% in about 30 seconds. Every correction makes the entire system smarter.

Automatic pattern recognition from failures

AI-powered prompt rewriting

Validation testing before deployment

Evaluation framework — Prove your automation works

Three-layer accuracy measurement. Workflow level (did the task complete?), step level (which node failed?), variable level (which field was wrong?). Benchmarked against human performance when available. Every execution gets scored. Dashboards show completion rate, evaluation score, feedback score. Auto-retry triggers when scores drop below threshold. You always know exactly how your agents perform. With numbers, not guesses.

Evaluation framework — Prove your automation works

Three-layer accuracy measurement. Workflow level (did the task complete?), step level (which node failed?), variable level (which field was wrong?). Benchmarked against human performance when available. Every execution gets scored. Dashboards show completion rate, evaluation score, feedback score. Auto-retry triggers when scores drop below threshold. You always know exactly how your agents perform. With numbers, not guesses.

Evaluation framework — Prove your automation works

Three-layer accuracy measurement. Workflow level (did the task complete?), step level (which node failed?), variable level (which field was wrong?). Benchmarked against human performance when available. Every execution gets scored. Dashboards show completion rate, evaluation score, feedback score. Auto-retry triggers when scores drop below threshold. You always know exactly how your agents perform. With numbers, not guesses.

Workflow, step, and variable-level accuracy

Automatic validation against criteria

Auto-retry with self-healing prompts

Human-in-the-loop — Control without bottlenecks

Three automation modes. Fully autonomous (end-to-end without human intervention), human-in-the-loop (pause at designated checkpoints for review), and hybrid (autonomous with selective oversight). For sensitive decisions like high-value invoices, customer escalations, contract modifications, agents prepare everything, humans make the final call. All pending approvals route to a centralized Inbox. Full audit trail for compliance.

Human-in-the-loop — Control without bottlenecks

Three automation modes. Fully autonomous (end-to-end without human intervention), human-in-the-loop (pause at designated checkpoints for review), and hybrid (autonomous with selective oversight). For sensitive decisions like high-value invoices, customer escalations, contract modifications, agents prepare everything, humans make the final call. All pending approvals route to a centralized Inbox. Full audit trail for compliance.

Human-in-the-loop — Control without bottlenecks

Three automation modes. Fully autonomous (end-to-end without human intervention), human-in-the-loop (pause at designated checkpoints for review), and hybrid (autonomous with selective oversight). For sensitive decisions like high-value invoices, customer escalations, contract modifications, agents prepare everything, humans make the final call. All pending approvals route to a centralized Inbox. Full audit trail for compliance.

Consent nodes pause for human approval

Centralized Inbox for all pending decisions

Gradual autonomy as trust builds

Multi-agent orchestration — Scale complex processes

Complex enterprise processes need specialized agents working together. An invoice processing agent extracts data. A compliance agent validates against rules. A routing agent assigns to the right approver. A notification agent updates stakeholders. One coordinator agent manages the whole. MCP (Model Context Protocol) enables communication with external agent platforms. Already deployed with IBM and Cisco.

Multi-agent orchestration — Scale complex processes

Complex enterprise processes need specialized agents working together. An invoice processing agent extracts data. A compliance agent validates against rules. A routing agent assigns to the right approver. A notification agent updates stakeholders. One coordinator agent manages the whole. MCP (Model Context Protocol) enables communication with external agent platforms. Already deployed with IBM and Cisco.

Multi-agent orchestration — Scale complex processes

Complex enterprise processes need specialized agents working together. An invoice processing agent extracts data. A compliance agent validates against rules. A routing agent assigns to the right approver. A notification agent updates stakeholders. One coordinator agent manages the whole. MCP (Model Context Protocol) enables communication with external agent platforms. Already deployed with IBM and Cisco.

Specialized agents for specific domains

Coordinator agents for orchestration

MCP protocol for external agent communication

Production-ready — Not demos, real workloads

Enterprise security. SOC 2 compliant, GDPR ready, prompt injection protection, jailbreak prevention. Enterprise observability with LangFuse integration for deep execution tracing, token usage tracking, performance analysis. Enterprise deployment options include cloud, private instance, or on-premise. This isn't an experimental AI playground. VW, Porsche, Americana run production workloads on Beam daily.

Production-ready — Not demos, real workloads

Enterprise security. SOC 2 compliant, GDPR ready, prompt injection protection, jailbreak prevention. Enterprise observability with LangFuse integration for deep execution tracing, token usage tracking, performance analysis. Enterprise deployment options include cloud, private instance, or on-premise. This isn't an experimental AI playground. VW, Porsche, Americana run production workloads on Beam daily.

Production-ready — Not demos, real workloads

Enterprise security. SOC 2 compliant, GDPR ready, prompt injection protection, jailbreak prevention. Enterprise observability with LangFuse integration for deep execution tracing, token usage tracking, performance analysis. Enterprise deployment options include cloud, private instance, or on-premise. This isn't an experimental AI playground. VW, Porsche, Americana run production workloads on Beam daily.

SOC 2 and GDPR compliance

Multi-layer security (agent, node, trigger levels)

Full execution tracing and monitoring

Start Today

Start building AI agents to automate processes

Take your business processes to the next level with Beam AI's powerful agentic workflows. Whether you're looking to enhance efficiency, streamline operations, or leverage AI-driven process automation, our team of experts is here to help.

Start Today

Start building AI agents to automate processes

Take your business processes to the next level with Beam AI's powerful agentic workflows. Whether you're looking to enhance efficiency, streamline operations, or leverage AI-driven process automation, our team of experts is here to help.

Start Today

Start building AI agents to automate processes

Take your business processes to the next level with Beam AI's powerful agentic workflows. Whether you're looking to enhance efficiency, streamline operations, or leverage AI-driven process automation, our team of experts is here to help.

FAQ

Frequently Asked Questions

Learn the answers to common questions about our AI solutions, tools, and services, helping you understand how they can benefit your business and streamline operations.

What Are Agentic Workflows?

Agentic workflows represent a new paradigm in AI-driven process automation, where autonomous AI agents execute complex tasks without human intervention. These workflows are designed to adapt to dynamic environments, make intelligent decisions, and streamline processes from start to finish. 

Unlike traditional automation, which often requires predefined rules and scripts, agentic workflows in AI utilize machine learning in workflow automation to learn, adapt, and optimize over time.

What Are the Key Benefits of workflows?

Implementing these workflows offers numerous advantages:

  • Increased efficiency: Automate complex, repetitive tasks.

  • Improved accuracy: Consistent execution reduces human error.

  • Enhanced scalability: Handle higher volumes as demand grows.

  • Cost reduction: Fewer manual touches, lower operating expense.

  • Focus on human expertise: Teams spend time on strategy and creative work.

What Are the Key Characteristics?

Autonomy: AI agents act without constant supervision.

  • Adaptability: Strategies adjust to new data and conditions.

  • Goal-oriented: Workflows optimize for explicit objectives, not just fixed rules.

  • Memory & learning: Retain context across steps and improve via feedback.

  • Reasoning & planning: Analyze context, choose tools, and plan actions.

How do Agentic Workflows Work?

At the core of agentic workflows are AI agents — autonomous entities that execute tasks within a defined process. These agents are equipped with special algorithms, enabling them to analyze data, make decisions, and execute actions seamlessly. The process typically involves:

  • Data Processing: The AI-driven agents analyze incoming information, using intelligent process automation techniques to identify patterns and insights.

  • Action Execution: The agents perform specific tasks, from sending automated emails to updating databases or managing logistics.

  • Continuous Improvement: Through simply using them, the AI agents learn from each interaction, refining their processes for future tasks.

What Are Real World Examples?

Here are some agentic workflows examples that demonstrate their versatility across industries:

Curious about more? ⇒ Get to know all of our AI Agents!

How Can This Process Unlock the Full Power of AI?

In today's fast-paced business world, efficiency and innovation are critical to staying competitive. At Beam AI, we are revolutionizing how businesses operate with agentic workflows, a groundbreaking approach to intelligent workflow automation that empowers organizations to optimize their processes and achieve remarkable efficiency.

Do AI Agents Require Coding Skills?

No, our platform supports no-code interfaces, allowing business teams to design everything visually. However, developers can still customize integrations for more complex enterprise needs!

How to Build an Agentic Workflow (Step-by-Step)

Define the outcome and KPIs. 

  1. Map tasks, tools, and approvals. 

  2. Select AI agent model or build it custom. 

  3. Configure data access and policies. 

  4. Test on real cases. 

  5. Ship with monitoring and reflection.

AI Agents vs. Agentic Workflows: What’s the Difference?

AI agents are autonomous workers for a task or role. Agentic workflows coordinate one or many agents, tools, and approvals to achieve an outcome. In short: agents are the actors; agentic workflows are the production.

Which Tools and LLMs Can I Use?

Connect business apps, databases, and APIs as tools within the workflow. Many teams pair workflows with leading Large Language Models (LLMs) from ecosystems such as OpenAI, Anthropic, or Microsoft via integrations—balancing capability, cost, and compliance.

Learn more about our integrations here! 

How Does This Differ From RPA?

Robotic Process Automation (RPA) is rule-based and works well for repetitive tasks, but it struggles with complexity. Agentic workflows on the other hand, powered by AI agents, can reason, learn from context, and handle exceptions. This makes them more flexible for enterprise-scale automation.

How Can Automated Solutions Transform Your Business?

By adopting custom automated solutions, businesses can unlock new opportunities for growth and efficiency. AI-powered workflow management systems enable organizations to manage complex processes with minimal human intervention, delivering consistent results across departments.

You want to gain expert knowledge in AI-powered management? ⇒ Join us in our Webinars!

What is the Future of Digital Process Automation?

The evolution of digital process automation goes hand-in-hand with the rise of agentic workflows. As AI technologies advance, businesses will benefit from increasingly autonomous and adaptive systems that handle everything from AI task automation to large-scale operational processes.

The future is already here, so get to know it in our Blog articles!

Why Should You Choose Beam AI?

At Beam AI, we specialize in providing state-of-the-art agentic workflows tailored to your specific business needs. Our solutions integrate seamlessly with your existing systems, offering:

  • Customizable AI Agents: Adaptable to any business model.

  • Advanced Analytics: Gain insights into workflow performance and optimization opportunities.

  • Reliable Support: Our team of experts ensures smooth implementation and ongoing optimization.

  • Gaining Knowledge: With our Webinars, you can lead your business into a new era.