Flex the Automation with Agents

How agentic automation flexes to handle complex, variable workflows that traditional rule-based automation cannot. Building systems that adapt at runtime.

The Problem with Brittle Automation

Traditional automation is like a train on tracks—fast and efficient when everything goes according to plan, but completely stuck when it encounters something unexpected.

Every edge case requires a new rule. Every exception needs explicit handling. The result: automation that works 80% of the time but fails precisely when you need it most.

Agentic Flexibility

Agentic automation is different. Instead of following rigid rules, agents observe, reason, act, and learn. This loop allows agents to handle variation gracefully.

Real World Examples

Consider invoice processing. Traditional automation looks for "Total" in a specific location and fails when format changes. Agentic automation understands what a total is conceptually, finds it regardless of format, validates it, and asks for clarification when ambiguous.

Building Flexible Systems

• Define goals, not steps: Tell the agent what success looks like
• Provide context: Give agents access to relevant information
• Enable verification: Let agents check their own work
• Allow escalation: Build in paths for human review

The future of automation isn't more rules—it's smarter agents that can flex to meet the demands of real-world complexity.