Agentic Digital Engineering Solution Overview

Transform R&D with Agentic Digital Engineering

Redefine Productivity and Efficiency with Agent-Accelerated Innovation

Achieving peak R&D performance requires empowering product development teams with the tools they need to act with speed and precision. But today, too much engineering time is spent on manual processes that are difficult to scale, valuable data is fragmented across systems, and simulation expertise is isolated to individuals. 

Rescale’s Agentic Digital Engineering unifies data across systems and enriches that data with critical context to enable R&D teams to deploy agentic AI workflows that automate and accelerate operations while humans stay in the loop for 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.

workflow agent
Agentic workflow builder enables complex, multi-agent orchestration.

Business Impact

Agentic Digital 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
  • 2x faster time to market and millions in R&D program value through better decisions, eliminated rework, and compressed development cycles
  • 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-Specific Agents and Orchestration: Empower R&D teams to work faster and smarter by automating processes with pre-built agents designed specifically for engineering workflows that integrate directly into existing CAE and PLM workflows.
  • Unified Data and Intelligent Assistant: Pre-built data connectors and conversational AI assistant provide a unified fabric that makes data discoverable and AI-ready across silos to deliver value immediately, avoiding the cost and complexity of custom tools.
  • 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 simulation workflow 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.
  • System of Record and Supplier Data Integration: Ingest, normalize, validate, and integrate internal and external simulation data into the digital thread, ensuring your engineering knowledge base is connected and accessible.
Troubleshooting agent pinpoints failed jobs, recommends next steps eliminating hours of manual diagnosis.

Who Benefits

  • CTOs and VPs of Engineering: Identify AI and agentic wins that transform productivity with measurable ROI
  • Digital Transformation Leaders: Drive cross-functional initiatives that introduce agents into existing processes without disrupting current workflows
  • CAE and Methods Leaders: Capture best practices as reusable, governed runbooks that execute reliably across teams and scale expert knowledge
  • PLM, SPDM, and MBSE Leaders: Extend systems of record with a complementary data fabric that makes information discoverable and AI-ready across silos

Learn More

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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