Agentic Engineering Solution Overview

Automate Engineering Workflows
with Intelligent AI Agents

Manual Complexity to Agent-Accelerated Innovation

Manual engineering processes are difficult to scale as product complexity increases and timelines compress. Experienced engineers know how to perform complex simulations, but that expertise lives in their heads and is lost or reproduced inconsistently when they’re unavailable. Agentic engineering transforms expert workflows into automated processes where agents handle orchestration, monitoring, and first-pass analysis while human experts approve critical decisions. Rescale integrates with enterprise AI platforms like AWS Bedrock, Azure AI Foundry, and Claude Enterprise, so you don’t have to choose between enterprise AI strategy and engineering-specific capability.

Agents turn raw job logs into actionable diagnostics and customer-ready reports.

Business Impact

Agentic engineering accelerates innovation cycles while reducing operational overhead and capturing institutional knowledge as scalable, automated processes.

  • 20-60% increase in engineering productivity where repetitive workflows become automated, freeing engineers from orchestration and monitoring work
  • Faster program timelines through fewer process failures and rework cycles, enabling teams to move forward with higher confidence
  • Reduced time from AI concept to production by deploying durable agentic workflows rather than building orchestration stacks from scratch

The business outcome of effective agentic automation is faster time from AI concept to production. Instead of building orchestration stacks from scratch or hoping that a prototype will somehow become production-ready, organizations leverage Rescale’s platform and services expertise to deploy durable agentic workflows.

Why Rescale

Rescale provides an integrated platform that combines full-stack simulation capabilities with AI-powered automation, purpose-built for engineering workflows.

  • Engineering-Native Integration: Deep integration into CAE and PLM workflows with physics-aware data models that understand simulation tools and solver behaviors, eliminating months of custom development.
  • Human-in-the-Loop Design: Transparent traces and approval gates ensure agents augment rather than override expert judgment, maintaining engineering control while automating routine execution.
  • Enterprise-Ready Governance: Built-in role-based access control, audit capabilities, and compliance frameworks align with regulated industry requirements.
  • Enterprise AI Compatibility: Integrates with AWS Bedrock, Azure AI Foundry, Claude Enterprise, and OpenAI. Rescale handles the physics execution layer while your IT organization standardizes higher-level orchestration.
AI surfaces duplicate simulations, spend overages, and proactive budget guardrails.

Use Cases

  • Agent-Driven Workflow Automation: Agents orchestrate meshing, solving, post-processing, and document updates with human approval points, enabling design and CAE teams to execute faster workflows with less manual effort while maintaining engineering control.
  • Administrative and Financial Control Automation: Agents continuously monitor simulation activity to flag duplicate work and budget anomalies, then recommend corrective actions through automated policy enforcement so management achieves better cost control with reduced operational overhead.
  • Simulation Job Troubleshooting: Agents analyze logs and exit codes with solver-specific knowledge to diagnose root causes and either fix issues automatically or recommend solutions, reducing wasted compute spend and accelerating troubleshooting from hours to minutes.
  • Automated Benchmarking and Configuration Tuning: Agents automatically sweep across instance types, MPI layouts, and solver parameters to recommend optimal configurations for cost-performance, eliminating manual testing overhead while ensuring optimal resource utilization at scale.
Troubleshooting agent pinpoints failed jobs, recommends next steps eliminating hours of manual diagnosis.

Who Benefits

Learn More About Agentic Engineering on Rescale

Explore how AI agents are reshaping engineering productivity including use cases, enabling technologies, and opportunities to drive real business impact. Learn more.




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